WE WOULD LIKE TO THANK ALL THE VISLA PARTICIPANTS FOR THEIR GREAT INPUT DURING THE WORKSHOP. THE AUTHORS ALSO GRATEFULLY ACKNOWLEDGE THE SUPPORT OF THE EUROPEAN COMMISSION TROUGH THE LALA (CAPACITY TO USE LEARNING ANALYTICS TO IMPROVE HIGHER EDUCATION IN LATIN AMERICA) PROJECT ERASMUS+ CAPACITY BUILDING PROJECT (GRANT NO. 586120EPP120171ESEPPKA2CBHEJP). THE EUROPEAN COMMISSION SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
WE WOULD LIKE TO THANK THE EUROPEAN COMMISSION FOR FUNDING THE SHEILA PROJECT (REF. 562080-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD). THE PROJECT INVOLVED COLLABORATIVE INPUT FROM ALL THE PARTNERS INVOLVED AND THEIR CONTRIBUTIONS ARE HIGHLY APPRECIATED. THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EUROPEAN COMMUNITY, AND THE EUROPEAN COMMUNITY IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF THIS CONTENT.
SUPPORT WAS PROVIDED BY A SSHRC DOCTORAL RESEARCH GRANT.
PART OF THIS WORK HAS BEEN SUPPORTED BY THE RESEARCH FOUNDATION FLANDERS (FWO), GRANT AGREEMENT NO. G0C9515N, AND THE KU LEUVEN RESEARCH COUNCIL, GRANT AGREEMENT NO. STG/14/019.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE EUROPEAN COMMISSION SEVENTH FRAMEWORK PROGRAMME, WHICH FUNDED THE LEARNING ANALYTICS COMMUNITY EXCHANGE (WWW.LACEPROJECT.EU): GRANT NUMBER 619424.
THE PROJECT REPORTED HERE HAS BEEN SUPPORTED AND CO-FINANCED BY THE SURF-FOUNDATION AS PART OF THE LEARNING ANALYTICS STIMULUS AND THE TESTING AND TEST-DRIVEN LEARNING PROGRAMS.
WE WOULD LIKE TO THANK EUROPEAN COMMISSION FOR FUNDING THE SHEILA PROJECT (REF. 562080-EPP-1-2015-1-BE-EPPKA3-PI-FORW) AND THE AUSTRALIAN GOVERNMENT'S OFFICE FOR LEARNING AND TEACHING FOR FUNDING THE HE-ANALYTICS PROJECT (SP13-3249) AND ALL PARTICIPANTS WHO JOINED THE PROJECT ACTIVITIES AND CONTRIBUTED VALUABLE INSIGHTS. THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EUROPEAN COMMUNITY AND THE AUSTRALIAN GOVERNMENT.
THIS MATERIAL IS BASED UPON WORK SUPPORTED IN PART BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT DRL-1813713: SUPPORTING TEACHERS IN RESPONSIVE INSTRUCTION FOR DEVELOPING EXPERTISE IN SCIENCE (STRIDES). ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION. THE RESEARCH OF THE SECOND AUTHOR IS PARTIALLY FUNDED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES UNDER PROJECT GRANTS TIN2017-85179-C3-2-R, BY THE MINISTRY OF SCIENCE AND EDUCATION (PRX17/00410), BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL COUNCIL OF EDUCATION OF CASTILE AND LEON UNDER PROJECT GRANT VA257P18, AND BY THE EUROPEAN COMMISSION UNDER PROJECT GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE EXPERTISE AND COMMITMENT OF THE MANY INDIVIDUALS THAT SO GENEROUSLY PROVIDED THEIR INSIGHTS AND REFLECTIONS ON THIS RESEARCH. SUPPORT FOR THE PRODUCTION OF THIS PAPER HAS BEEN PROVIDED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING. THE VIEWS EXPRESSED IN THIS PAPER DO NOT NECESSARILY REFLECT THE VIEWS OF THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING.
THE PROJECT REPORTED HERE HAS BEEN SUPPORTED AND CO-FINANCED BY SURF-FOUNDATION (20150707-5-001-DARI-MIHO) AS PART OF THE LEARNING ANALYTICS STIMULUS AND THE TESTING AND TEST-DRIVEN LEARNING PROGRAMS.
THE EUROPEAN COMMISSION SEVENTH FRAMEWORK PROGRAMME, GRANT NUMBER 619424, FUNDED THE LACE PROJECT, WHICH WAS RESPONSIBLE FOR DEVELOPING THE EVIDENCE HUB.Y
THIS WORK WAS SUPPORTED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION [562080-EPP-1-2015-1-BE-EPPKA3-PIFORWARD]. THE EUROPEAN COMMISSION'S SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS, WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION WILL NOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. THE PROJECT INVOLVED COLLABORATIVE INPUT FROM ALL THE PARTNERS INVOLVED AND THEIR CONTRIBUTIONS ARE HIGHLY APPRECIATED. WE WOULD ALSO LIKE TO GIVE THANKS TO OUR RESEARCH PARTICIPANTS FOR THEIR VALUABLE CONTRIBUTIONS.
THIS PART OF THIS RESEARCH WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO.25282059, NO.26560122, NO.25540091, NO.26350319 AND NO.16J05548 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN. THE RESEARCH RESULTS HAVE BEEN PARTLY ACHIEVED BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NO. 669074 AND 731685), THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS (PROJECT TIN2014-53199-C3-2-R), AND THE REGIONAL GOVERNMENT OF CASTILLA Y LEON (PROJECTS VA277U14 AND VA082U16).
WE THANK ALL THE TEACHERS WHO TOOK PART IN THESE STUDIES. THIS WORK HAS BEEN PARTIALLY FUNDED BY "LA CAIXA FOUNDATION" (COT PROJECT, 100010434), FEDER, THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES TIN 2017-85179-C3-2-R, TIN 2017-85179-C3-3-R, MDM-2015-0502, AND THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL COUNCIL OF EDUCATION OF CASTILLA Y LEON UNDER GRANT VA257P18.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), BY THE MINISTRY OF EDUCATION (TIN2013-46149-C2-1-R, TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259).
SPONSORED BY THE PROGRAM" EXPLORING COLLEGE ENGLISH TEACHING AND LEARNING MODE BASED ON LEARNING ANALYTICS IN BIG DATA ERA"
WE WOULD LIKE TO THANK SUPPORT FROM THE MIT-SPAIN "LA CAIXA" FOUNDATION SEED FUND. THE FIRST AUTHOR ACKNOWLEDGES SUPPORT FROM THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACION PROGRAM (FJCI-2017-34926).
THE PAPER IS PARTLY SUPPORTED WITHIN THE PROJECT MU19-FTF-001 "INTELLIGENT DATA ANALYSIS FOR IMPROVING THE LEARNING OUTCOMES" OF THE SCIENTIFIC RESEARCH FUND AT THE UNIVERSITY OF PLOVDIV "PAISII HILENDARSKI".
THE RESEARCH PROJECT "INDICATOR-BASED SOCIAL LEARNING ANALYTICS (ISLA)" WAS FINANCED BY THE STATE MINISTRY FOR HIGHER EDUCATION, RESEARCH AND THE ARTS IN THE GERMAN FEDERAL STATE OF SAXONY.
THIS WORK WAS SUPPORTED IN PART BY A RESEARCH INITIATION GRANT FROM THE CENTER FOR ONLINE INNOVATION IN LEARNING AT PENN STATE UNIVERSITY.
PART OF THIS WORK HAS BEEN SUPPORTED BY THE RESEARCH FOUNDATION FLANDERS (FWO) [GRANT AGREEMENT NO. G0C9515N] AND THE KU LEUVEN RESEARCH COUNCIL [GRANT AGREEMENT NO. C24/16/017].
THE PROJECT REPORTED HERE HAS BEEN SUPPORTED AND CO-FINANCED BY SURF-FOUNDATION AS PART OF THE LEARNING ANALYTICS STIMULUS AND THE TESTING AND TEST-DRIVEN LEARNING PROGRAMS.
THIS WORK IS CO-FUNDED BY THE EUROPEAN UNION UNDER THE PELARS PROJECT (GRANT AGREEMENT #619738) UNDER THE SEVENTH FRAMEWORK PROGRAMME OF THE EUROPEAN COMMISSION.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304.
THIS RESEARCH PROJECT IS PARTIALLY SUPPORTED BY GRANT REC # 1326809 AT BRADLEY UNIVERSITY (2015-2018).
THIS WORK HAS BEEN DEVELOPED WITH THE SUPPORT OF ESCUELA TECNICA SUPERIOR DE INGENIERIA INFORMATICA (ETSINF) AT UPV.
THE WORK DESCRIBED IN THIS PAPER HAS BEEN PARTLY FUNDED BY THE EMADRID PROJECT (S2013/ICE-2715) FUNDED BY THE REGIONAL GOVERNMENT OF MADRID, THE RESET PROJECT (TIN2014-53199-C3-1-R) FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETIVENESS, THE FLEXOR PROJECT (TIN2014-52129-R) FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETIVENESS, THE PROJECT "ADAPTACION DE LA METODOLOGIA PHYMEL A LA FORMACION CLINICA MEDIANTE EL USO DE SIMULADORES" FUNDED BY THE MEDICAL SIMULATOR COMPANY, AND THE ERASMUS+ PROJECTS MOOC-MAKER (561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP) AND SHEILA (562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD) FUNDED BY THE EUROPEAN COMMISSION.
THIS RESEARCH WAS FUNDED BY THE SCIENTIFIC AND TECHNOLOGICAL RESEARCH COUNCIL OF TURKEY (TUBITAK) UNDER GRANT NUMBER 114E261. ALI INAN IS THE CORRESPONDING AUTHOR.
OE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF THE COORDINATORS OF THE MOOCS INCLUDED IN THIS STUDY: PROFESSOR PETER MCPHEE, PROFESSOR RAOUL MULDER, PROFESSOR PATRICK GRIFFIN AND PROFESSOR PASCAL VAN HENTENRYCK. A SPECIAL RESEARCH INITIATIVE OF THE AUSTRALIAN RESEARCH COUNCIL SUPPORTED THIS RESEARCH: ARC-SRI SCIENCE OF LEARNING RESEARCH CENTRE (PROJECT NUMBER SRI20300015).
WE WOULD LIKE TO EXTEND OUR GRATITUDE TO THOSE WHO CONTRIBUTED TO THIS WORK AND THE FUNDS THAT SUPPORTED THIS RESEARCH: CHINESE NATIONAL FUND FOR THE HUMANITIES AND SOCIAL SCIENCES (CHINESE ACADEMIC TRANSLATION) (17WSS005); MOOCS OF BEIJING LANGUAGE AND CULTURE UNIVERSITY (IMPORTANT) "AN INTRODUCTION TO LINGUISTICS" IN 2019 (MOOC201902); AN ONLINE AND OFFLINE HYBRID COURSE "INTRODUCTION TO LINGUISTICS" OF BEIJING LANGUAGE AND CULTURE UNIVERSITY IN 2020; THE RESEARCH AND REFORM FUND OF THE "UNDERGRADUATE TEACHING REFORM AND INNOVATION PROJECT" OF BEIJING HIGHER EDUCATION IN 2020 - INNOVATIVE "MULTILINGUAL +" EXCELLENT TALENT TRAINING SYSTEM (202010032003)
THIS RESEARCH PROJECT IS PARTIALLY SUPPORTED BY GRANT REC # 1326809 AT BRADLEY UNIVERSITY (2015-2018).
WE THANK THE TEACHERS AND PRACTITIONERS WHO KINDLY DONATED THEIR TIME TO THIS RESEARCH STUDY. THIS WORK IS PART OF THE IREAD PROJECT WHICH HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO 731724.
THIS RESEARCH WAS MAINLY SUPPORTED BY STRATEGIC INTERNATIONAL RESEARCH COOPERATIVE PROGRAM, JAPAN SCIENCE AND TECHNOLOGY AGENCY (JST) REGARDING "SECURITY IN THE INTERNET OF THINGS SPACE", AND PARTIALLY SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP16H02923.
THE AUTHORS ACKNOWLEDGENANCIAL SUPPORT OF THE MINISTRY OF EDUCATION, SCIENCE AND TECHNOLOGICAL DEVELOPMENT OF THE REPUBLIC OF SERBIA (GRANT NO. 451-03-68/202014/200125).
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE INNOVATION AND TECHNOLOGY COMMISSION OF THE HONG KONG SAR GOVERNMENT, UNDER THE INNOVATIVE TECHNOLOGY FUND, GRANT NUMBER ITS/388/17FP.
THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 26560122 AND NO. 16H06304 FROM THE MINISTRY OF EDUCATION, SCIENCE, SPORTS, AND CULTURE OF JAPAN AND BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), COMMISSIONED RESEARCH OF THE NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN.
WE WOULD LIKE TO THANK AISTI (ASSOCIACAO IBERICA DE SISTEMAS E TECNOLOGIAS DE INFORMACAO/IBERIAN ASSOCIATION FOR INFORMATION SYSTEMS AND TECHNOLOGIES) FOR THE FINANCIAL SUPPORT GRANTED IN THIS STUDY AND PUBLICATION.
THE WORK HAS RECEIVED FUNDING FROM THE GRANT AGREEMENT NO. 16_PA07-C2, START-SOPI, "FEASIBILITY STUDY ON IMPLEMENTING A PAN-EUROPEAN SOCIAL PLATFORM TO SUPPORT LIFELONG LEARNING AND EMPLOYABILITY". SOPI IS PART FINANCED BY START-DANUBE REGION PROJECT FUND, AN INITIATIVE FOR THE DANUBE REGION STRATEGY. START IS FINANCED BY THE EUROPEAN UNION AND THE CITY OF VIENNA. THIS WORK HAS BEEN ALSO FUNDED BY UNIVERSITY POLITEHNICA OF BUCHAREST, THROUGH THE "EXCELLENCE RESEARCH GRANTS" PROGRAM, UPB -GEX. IDENTIFIER: UPB-EXCELENTA-2016 "CONSTRUIREA SI EXPLOATAREA PROFILULUI UTILIZATORILOR IN MEDII DE INVATARE VIRTUALE: METODE, IMPLICATII PSIHOSOCIALE SI CONSECINTE UTILIZAND TEHNICI DE ANALIZA AVANSATA A DATELOR - LEPROVE (LEARNING PROFILING IN VIRTUAL ENVIRONMENTS)", CONTRACT NUMBER 83/26.09.2016, CODE 303. (LEPROVE).
THE RESEARCH FOR THIS PAPER WAS FINANCIALLY SUPPORTED BY GRANT KEGA -029UKF-4/2018 INNOVATIVE METHODS IN PROGRAMMING EDUCATION IN THE UNIVERSITY EDUCATION OF TEACHERS AND IT PROFESSIONALS.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 16H06304.
THIS PROJECT WAS FUNDED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING. THE VIEWS EXPRESSED IN THIS PUBLICATION DO NOT NECESSARILY REPRESENT THOSE OF THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING.
THE AUTHORS WISH TO THANK THE PARTICIPANTS TO THE STUDY WHO KINDLY SPENT THEIR TIME AND EFFORT. THIS WORK IS SUPPORTED BY CCF-1139864 NSF GRANT AND THE RICHARD T. CHENG ENDOWMENT.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259).
THANKS TO FEDERICA WEBLEARNING CENTER FOR INNOVATION AND DISSEMINATION OF DISTANCE EDUCATION, UNIVERSITY OF NAPLES FEDERICO II. THIS RESEARCH WAS FUNDED BY "POR CAMPANIA FESR 2014 -2020, ASSE II, OBITTIVO TEMATICO 2, O.S. 2.3 -AZIONE 2.3.1 PROGETTO: LA FABBRICA DIGITALE".
THIS WORK WAS SUPPORTED BY THE MADRID REGIONAL GOVERNMENT (EMADRID PROJECT, GRANT NUMBER S2013/ICE-2715), THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS (RESET PROJECT, GRANT NUMBER TIN2014-53199-C3-1-R AND SNOLA PROJECT, GRANT NUMBER TIN2015-71669-REDT) AND BY THE "AGENCIA ESTATAL DE INVESTIGACION" (AEI) AND "FONDO EUROPEO DE DESARROLLO REGIONAL" (FEDER) (SMARTLET PROJECT, GRANT NUMBER TIN2017-85179-C3-1-R)
THE FIRST AUTHOR RESEARCH IS FUNDED BY THE SWEDISH FOUNDATION FOR INTERNATIONAL COOPERATION IN RESEARCH AND HIGHER EDUCATION, PROJECT "STINT", (DNR:MC2018-7984).
THIS RESEARCH WAS PARTIALLY SUPPORTED BY GRANT-IN-AID FOR SCIENTIFIC RESEARCH (B) (NO. 16H02923) FROM JSPS (JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE).
WE WOULD LIKE TO THANK ANA RUS CANO MORENO FOR HER DETAILED REVIEW AND SUGGESTIONS ON THE PAPER. THIS RESEARCH HAS BEEN PARTIALLY FINANCED BY THE MINISTRY OF EDUCATION, CULTURE AND SPORT OF SPAIN, THROUGH THEIR FPU PROGRAMME [GRANT FPU12/04310], BY THE REGIONAL GOVERNMENT OF MADRID [EMADRID S2013/10E-2715], BY THE MINISTRY OF EDUCATION [TIN2013-46149-C2-1-R], BY THE RIURE NETWORK [CYTED 513RT0471] AND BY THE EUROPEAN COMMISSION [RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676].
THIS RESEARCH WAS SUPPORTED BY THE HEFCE CATALYST FUND AND KEELE UNIVERSITY. WE WOULD LIKE TO THANK THE STUDENT AMBASSADORS FOR ALL OF THEIR WORK ON THE PROJECT AND ALSO ALL OF THE STUDENTS WHO SIGNED UP TO THE SYSTEM AND WERE PART OF USER RESEARCH ACTIVITIES.
THIS WORK WAS PARTIALLY FUNDED BY AN EXPLORING LEARNING ANALYTICS GRANT AWARDED BY THE LEARNING ANALYTICS TASK FORCE AT THE UNIVERSITY OF MICHIGAN. THE AUTHORS WOULD LIKE TO THANK THEIR PARTNERS IN THE SUMMER BRIDGE PROGRAM AND COLLEAGUES WHO HELPED DEVELOP EARLIER ITERATIONS OF STUDENT EXPLORER, THE EARLY WARNING SYSTEM USED IN THIS INVESTIGATION. SPECIAL THANKS TO WILLIAM GEHRING FOR HIS ASSISTANCE WITH SURVEY DEVELOPMENT AND RICHARD RICHTER FOR HIS DEVELOPMENT WORK ON THE MOST RECENT VERSION OF STUDENT EXPLORER. FINALLY, MANY THANKS TO THE MEMBERS OF THE USE LAB FOR THEIR THOUGHTFUL FEEDBACK AND SUGGESTIONS THROUGHOUT THIS PROJECT.
THE AIX - FUTURE TEACHING & LEARNING PROJECT AND THE RESULTING WORK PRESENTED IN THIS PAPER WERE FUNDED BY STIFTERVERBAND FUR DIE DEUTSCHE WISSENSCHAFT AND HEINZ NIXDORF STIFTUNG.
THE WORK DESCRIBED IN THIS PAPER WAS PARTIALLY SUPPORTED BY A GRANT FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION, CHINA (UGC/IDS16/15).
WE WANT TO THANK THE UNIVERSITY OF SALAMANCA PHD PROGRAMME ON EDUCATION IN THE KNOWLEDGE SOCIETY SCOPE (HTTP://KNOWLEDGESOCIETY.USAL.ES).SIMILARLY, WE ARE GRATEFUL TO ESCUELA SUPERIOR POLITECNICA DE CHIMBORAZO FOR FUNDING THE PERFORM OF THIS RESEARCH.
THIS WORK WAS FINANCED BY "FONDO SECTORIAL: INCLUSION DIGITAL: EDUCACION CON NUEVOS HORIZONTES 2016" FROM ANII (AGENCIA NACIONAL DE INVESTIGACION E INNOVACION) OF URUGUAY, ON THE PROJECT "MODELOS DE PREDICCION PARA LA DETERMINACION DE RIESGO ACADEMICO" (CODE FSED_2_2016_1_130897).
THE AUTHORS ACKNOWLEDGE THE FINANCIAL SUPPORT BY THE FEDERAL MINISTRY OF EDUCATION AND RESEARCH OF GERMANY (BMBF, PROJECT NUMBER 16DHL1038).
THIS WORK WAS SUPPORTED BY SCOTTISH GOVERNMENT.
THE RESEARCH REPORTED IN THIS ARTICLE WAS MADE POSSIBLE IN PART BY A GRANT FROM THE SPENCER FOUNDATION (#201900093). THE VIEWS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE SPENCER FOUNDATION.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2015S1A5B6036244).
THIS WORK WAS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA [GRANT NUMBER 71722005; 71571133; 71790594].
THIS WORK WAS SUPPORTED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION [562080-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD]. THE EUROPEAN COMMISSION'S SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS, WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION WILL NOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THE WORK DESCRIBED IN THIS PAPER WAS PARTIALLY SUPPORTED BY A GRANT FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION, CHINA (UGC/IDS16/15).
THE AUTHORS WISH TO ACKNOWLEDGE THAT THIS WORK IS FUNDED BY THE RESEARCH GRANTS COUNCIL OF THE HKSAR GOVERNMENT, #T44-707/16/N, UNDER THE THEME BASED RESEARCH SCHEME.
THE WORK WAS SUPPORTED BY THE NATIONAL KEY RESEARCH AND DEVELOPMENT PROGRAM OF CHINA (2018YFB1004504).
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20).
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20).
THIS WORK WAS PARTIALLY SUPPORTED BY THE ECHO PROJECT WHICH HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER THE GRANT AGREEMENT NO 830943.
THIS ARTICLE IS A PARTIAL RESEARCH RESULT OF THE STUDENT'S PLATFORM FOR INNOVATION AND ENTREPRENEURS TRAINING PROGRAM OF ANHUI PROVINCE, BUILDING AUTONOMOUS LEARNING COMMUNITY OF ORAL ENGLISH THROUGH WECHAT (PROJECT NO. 2014-740), THE TEACHING RESEARCH PROJECT OF ANHUI POLYTECHNIC UNIVERSITY, THE STUDY OF TRANSLATION TEACHING MODE IN COLLEGE ENGLISH EDUCATION BASED ON COOPERATIVE LEARNING (PROJECT NO. 2016JYXM34), AND ANHUI PROVINCIAL MAJOR TEACHING & RESEARCH PROJECT COLLEGE ENGLISH TEACHING REFORM IN THE CONTEXT OF ENGINEERING EDUCATION ACCREDITATION SYSTEM(PROJECT NO. 2016JYXM0087).
THIS WORK WAS SUPPORTED BY ANID-CHILE, FONDECYT PROJECTS 1200633 AND 1161413.
THIS RESEARCH WAS SUPPORTED BY CHARLOTTE RESEARCH INSTITUTE. WE ACKNOWLEDGE DR. SHANNON SCHLUETER AND DR. AUDREY RORRER FOR THEIR ASSISTANCE IN GAINING ACCESS TO THE STUDENT DATA STORED IN THE UNIVERSITY DATABASES. WE HAD NUMEROUS DISCUSSIONS ABOUT OUR IDEAS FOR MODELLING STUDENT DATA WITH A BROAD RANGE OF FACULTY, OF WHOM WE ESPECIALLY THANK DR. MOHSEN DORODCHI, DR. BOJAN CUKIC, DR. XI (SUNSHINE) NIU, AND DR. NOSEONG PARK.
DR AGUILAR HAS BEEN PARTIALLY SUPPORTED BY THE PROMETEO PROJECT OF THE MINISTRY OF HIGHER EDUCATION, SCIENCE, TECHNOLOGY AND INNOVATION OF THE REPUBLIC OF ECUADOR.
THIS WORK HAS BEEN SUPPORTED BY THE "EMADRID" PROJECT (REGIONAL GOVERNMENT OF MADRID) UNDER GRANT S2013/ICE-2715, THE "RESET" PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT RESET TIN2014-53199-C3-1-R AND THE EUROPEAN ERASMUS+ SHEILA PROJECT UNDER GRANT 562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD
THIS STUDY WAS FUNDED BY THE HOSPITAL FOR SICK CHILDREN PEDIATRIC CONSULTANTS MEDICAL EDUCATION RESEARCH GRANT.
THIS WORK WAS SUPPORTED BY OPETUS- JA KULTTUURIMINISTERIO [LEARNING ANALYTICS IN SUPPORT OF VOCATIONAL EDUCATION].
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE US NATIONAL SCIENCE FOUNDATION (DRL-1661202). ANY OPINIONS, FINDINGS, AND CONCLUSIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF NSF.
OUR THANKS TO ABELARDO PARDO FOR EARLY DISCUSSIONS THAT BEGAN IN 2016. WE GRATEFULLY ACKNOWLEDGE SUPPORT FROM THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING (OLT). THE VIEWS IN THIS PAPER DO NOT NECESSARILY REFLECT THE VIEWS OF THE OLT.
THE AUTHORS WOULD LIKE TO THANK THE UNIVERSITI TEKNOLOGI MALAYSIA (UTM) AND MINISTRY OF HIGHER EDUCATION (MOHE) MALAYSIA FOR THEIR SUPPORT IN MAKING THIS PROJECT POSSIBLE. THIS WORK WAS SUPPORTED BY THE MATCHING RESEARCH UNIVERSITY GRANT (Q.J130000.3010.00M68) INITIATED BY UTM AND MOHE.
THE WORK DESCRIBED IN THIS PAPER WAS PARTIALLY SUPPORTED BY A GRANT FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION, CHINA (UGC/IDS16/15).
THE REPORTED STUDY WAS FUNDED BY RFBR, PROJECT NUMBER 19-013-00679
THE AUTHOR WOULD LIKE TO THANK THE UNIVERSITY OF SOUTHERN CALIFORNIA'S PROVOST'S POSTDOCTORAL SCHOLARS PROGRAM FOR ITS SUPPORT, AS WELL AS DR. STUART KARABENICK, DR. STEVEN LONN, AND DR. STEPHANIE TEASLEY WHO NURTURED AN EARLY INTEREST IN LEARNING ANALYTICS APPLICATIONS.
THIS WORK WAS SUPPORTED BY THE PROJECT VEGA 1/0776/18 OPTIMIZING THE CONTENT AND STRUCTURE OF THE DISCLOSURES UNDER PILLAR 3 BY MODELLING THEIR USE BY STAKEHOLDERS OF COMMERCIAL BANK.
THIS PAPER IS SUPPORTED BY CHINA'S NATIONAL GENERAL PROJECT GRANTED BY CHINA NATIONAL OFFICE FOR EDUCATION SCIENCES PLANNING (GRANT NO. BCA160053). THE CONSTRUCTION AND APPLICATION OF ONLINE LEARNERS' PERSONA BASED ON BIG DATA ANALYSIS.
THIS WORK HAS BEEN SUPPORTED BY THE CROATIAN SCIENCE FOUNDATION UNDER THE PROJECT IP-2014-09-7854.
THIS PROJECT HAS RECEIVED SUPPORT FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 669074 AND FROM EUROPEAN SOCIAL FUND PROJECT "THE COMPETENCE CENTRE FOR EDUCATIONAL INNOVATION AT TALLINN UNIVERSITY".
THIS WORK WAS SUPPORTED BY THE EUROPEAN UNION (ERASMUS+ PROGRAMME) UNDER GRANT 2018-1-ES01-KA201-050924.
SNOLA IS OFFICIALLY RECOGNIZED AS A THEMATIC NETWORK OF EXCELLENCE (TIN2015-71669-REDT) BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS, AS PART OF THE STIMULATION ACTIONS "NETWORKS OF EXCELLENCE" INCLUDED IN THE "STATE PROGRAM FOR THE PROMOTION OF SCIENTIFIC AND TECHNICAL RESEARCH OF EXCELLENCE", "STATE SUBPROGRAM OF KNOWLEDGE GENERATION", "STATE PLAN OF SCIENTIFIC, TECHNICAL AND INNOVATION RESEARCH 2013-2016".
THIS WORK IS SUPPORTED BY THE BASQUE GOVERNMENT (IT980-16) AND THE UNIVERSITY OF THE BASQUE COUNTRY UPV/EHU (EHUA16_22).
THIS WORK WAS SUPPORTED BY THE ERASMUS+PROGRAMME OF THE EUROPEAN UNION [562080-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD].
WE WOULD LIKE TO THANK THE ANONYMOUS REVIEWERS FOR THEIR DETAILED COMMENTS AND RECOMMENDATIONS THAT HAVE GREATLY HELPED US TO IMPROVE THIS PAPER.THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676, ERASMUS + IMPRESS 2017-1-NL01-KA203-035259) AND BY THE TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES.
THIS WORK IS SUPPORTED BY RESEARCH FOUNDATION OF TIANJIN UNIVERSITY OF TECHNOLOGY AND EDUCATION UNDER GRANT NO. KJY1312.
WE ARE GRATEFUL TO CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING(C-DAC), A SCIENTIFIC SOCIETY UNDER MINISTRY OF ELECTRONICS & INFORMATION TECHNOLOGY (MEITY), GOVERNMENT OF INDIA FOR SUPPORTING THE RESEARCH WORK CARRIED OUT IN ELEARNING DOMAIN.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE HUB FOR DIGITAL HUMAN SCIENCES AT STOCKHOLM UNIVERSITY, SWEDEN.
WE THANK THE GOVERNMENT OF ARAGON, THE EUROPEAN SOCIAL FUND, THE MINISTRY OF EDUCATION OF THE REGION OF CASTILLA-LEON AND THE EDUCATIONAL INNOVATION SERVICE OF THE TECHNICAL UNIVERSITY OF MADRID FOR THEIR SUPPORT. WE ALSO THANK THE RESEARCH GROUPS LITI (HTTP://WWW.LITI.ES), GIDTIC (HTTP://GIDTIC.COM) AND GRIAL(HTTP://GRIAL.USAL.ES). THIS WORK HAS BEEN PARTIALLY FUNDED BY THE SPANISH GOVERNMENT MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGHOUT THE DEFINES PROJECT (REF. TIN2016-80172-R).
THE AUTHORS THANK THE SPANISH MINISTRY OF ECONOMY, THE AUTHORS THANK THE SPANISH MINISTRY OF ECONOMY, INDUSTRY AND COMPETITIVENESS FOR THE SUPPORT OF THE SNOLA NETWORK OF EXCELLENCE (TIN2015-71669-REDT).
THE RESEARCHERS WOULD LIKE TO THANK THE FACULTY OF SCIENCE, CHANDRAKASEM RAJABHAT UNIVERSITY FOR THEIR SUPPORT AND ADVICE AND THE VOCATIONAL TECHNOLOGY RESEARCH CENTER AND INNOVATION AND TECHNOLOGY MANAGEMENT, AND THE RESEARCH CENTER SCIENCE AND TECHNOLOGY RESEARCH INSTITUTE, KING MONGKUT'S UNIVERSITY OF TECHNOLOGY NORTH BANGKOK FOR THEIR CONTINUING SUPPORT AND THANK SUPALUK NAKHORNSRI FOR ACADEMIC PROOFREADING.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION IN THE CONTEXT OF CEITER AND THE NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NO. 669074 AND 731685).
THE RESEARCH IS DONE WITH FINANCIAL SUPPORT OF DFNI I02-2/2014 ((SIC)PHI H(SIC)02-2/2014) PROJECT, FUNDED BY THE NATIONAL SCIENCE FUND, MINISTRY OF EDUCATION AND SCIENCE IN BULGARIA AND SOFIA UNIVERSITY "ST. KLIMENT OHRIDSKI" RESEARCH SCIENCE FUND PROJECT N80-10-217/24.04.2017 "INQUIRY-BASED LEARNING IN THE FIELD OF HIGH TECHNOLOGIES AS AN APPLICATION OF MODERN INFORMATION TECHNOLOGIES".
THIS PROJECT IS SUPPORTED BY THE EUROPEAN COMMISSION (EC) UNDER THE INFORMATION SOCIETY TECHNOLOGY PRIORITY FP7 FOR R&D, CONTRACT 258114 NEXT-TELL. THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EC AND THE EC IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE.
THIS WORK WAS SUPPORTED BY GRANTS TO PHILIP H. WINNE FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA #435-2016-0379 AND SIMON FRASER UNIVERSITY.
THIS WORK IS SUPPORTED IN PART BY AN ECAMPUSONTARIO RESEARCH & INNOVATION GRANT AND A SSHRC INSIGHT GRANT (PI: ANATOLIY GRUZD). THE AUTHORS WOULD LIKE TO THANK OUR STUDY PARTICIPANTS AS WELL AS MEMBERS OF THE SOCIAL MEDIA LAB FOR THEIR FEEDBACK ON THE PROJECT.
OUR THANKS TO EARLI FOR FUNDING OUR E-CIR.
THIS RESEARCH WAS SUPPORTED BY THE UNIVERSITY OF MALAYA, BANTUAN KHAS PENYELIDIKAN UNDER THE RESEARCH GRANT OF BKS083-2017 AND FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS) UNDER GRANT NUMBER FP112-2018A FROM THE MINISTRY OF EDUCATION MALAYSIA, HIGHER EDUCATION.
THIS WORK HAS BEEN SUPPORTED BY THE "EMADRID" PROJECT (REGIONAL GOVERNMENT OF MADRID) UNDER GRANT S2013/ICE-2715 AND "RESET" PROJECT UNDER GRANT RESET TIN2014-53199-C3-1-R
THE REPORTED STUDY WAS FUNDED BY RFBR, PROJECT NUMBER 19-01300679
SPECIAL THANKS TO HYUNGHUN CHO FOR TECHNICAL ADVICE ON THE DEVELOPMENT OF THE SYSTEM. THIS WORK WAS SUPPORTED BY A NATIONAL RESEARCH FOUNDATION OF KOREA (NRF) GRANT FUNDED BY THE KOREAN GOVERNMENT (MSIT) (GRANT NO. NRF-2017R1E1A1A03070560).
THIS RESEARCH WAS PARTIALLY FUNDED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA UNDER GRANT (NO. 61505064), THE NATIONAL NATURAL SCIENCE FOUNDATION OF HUBEI PROVINCE UNDER GRANT (NO. 2016CFB497), THE FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES (NO. CCNU17TS0002), THE PROJECT OF THE PROGRAM FOR NATIONAL KEY TECHNOLOGY RESEARCH AND DEVELOPMENT PROGRAM (2013BAH72B01, 2014BAH22F01, 2015BAK07B03, 2015BAH33F02), AND SPECIFIC FUNDING FOR EDUCATION SCIENCE RESEARCH BY SELF-DETERMINED RESEARCH FUNDS OF CCNU FROM THE COLLEGES' BASIC RESEARCH AND OPERATION OF MOE (NO. CCNU16JYKX031, CCNU16JYKX027).
THIS STUDY HAS BEEN PARTIALLY FUNDED BY HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 731685 (PROJECT CEITER) AND PROJECT DIGIOPEVARAMU FUNDED BY THE ESTONIAN MINISTRY OF EDUCATION.
WE WOULD LIKE TO THANK THE GOVERNMENT OF ARAGON, THE EUROPEAN SOCIAL FUND AND THE MINISTRY OF EDUCATION OF THE REGION OF CASTILLA-LEON FOR THEIR SUPPORT. FINALLY, THE AUTHORS WOULD LIKE TO EXPRESS THEIR GRATITUDE TO THE RESEARCH GROUPS (LITI, HTTP://WWW.LITI.ES; GIDTIC, HTTP://GIDTIC.COM AND GRIAL, HTTP://GRIAL.USAL.ES).
AUTHORS WOULD LIKE TO THANK THE FACULTY OF HUMANITIES AND SOCIAL SCIENCES UNIVERSITY OF ZAGREB FOR FUNDING THIS RESEARCH THROUGH INSTITUTIONAL RESEARCH SUPPORT FUND.
THIS RESEARCH WAS FUNDED BY THE SPANISH "MINISTERIO DE ECONOMIA, INDUSTRIA Y COMPETITIVIDAD THROUGH GRANT NUMBER TIN2016-79951-R (BIGCLOE)", THE "VICERRECTORADO DE ESTUDIOS, CALIDAD Y ACREDITACION" OF THE UNIVERSITAT POLITECNICA DE VALENCIA (UPV) TO DEVELOP THE PIME B29 AND PIME/19-20/166, AND BY THE CONSELLERIA D'INNOVACIO, UNIVERSITAT, CIENCIA I SOCIETAT DIGITAL FOR THE PROJECT "CLOUDSTEM" WITH REFERENCE NUMBER AICO/2019/313.
THE GO-LAB PROJECT IS PARTIALLY FUNDED BY THE EUROPEAN UNION (GRANT AGREEMENT NO. 317601) UNDER THE INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) THEME OF THE 7TH FRAMEWORK PROGRAMME FOR R&D (FP7). THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EUROPEAN UNION, AND THE EUROPEAN UNION IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENT.
THIS WORK HAS BEEN SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) WIDER GRANT DUE-1347697 FOR THE REBUILD PROJECT, BY NSF IUSE GRANT DUE-1625397, AND BY THE UNIVERSITY OF MICHIGAN'S INSTITUTIONAL LEARNING ANALYTICS COMMITTEE.
THIS CONTRIBUTION WAS FUNDED BY THE INSTITUTIONAL PROJECT 1609 04/2018-12/2019 AND PARTIALLY SUPPORTED BY VEGA 1/0373/18"
THIS WORK WAS SUPPORTED BY THE ERASMUS+ PROGRAMME OF THEEUROPEAN UNION [562080-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD] . THE EUROPEAN COMMISSION SUPPORT FOR THE PRODUCTION OF THIS PUBLICA-TION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION WILL NOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. WE WOULD LIKE TO THANK THE PARTICIPANT OF THIS STUDY FOR THEIR GENEROUS CONTRIBUTIONS.
THIS WORK WAS PARTIALLY FUNDED BY THE EU, UNDER THE FRAMEWORK PROGRAMME 7 (INFORMATION SOCIETY TECHNOLOGIES - ICT), IN THE GAMES AND LEARNING ALLIANCE (GALA) NETWORK OF EXCELLENCE, GRANT AGREEMENT NR. 258169.
THIS WORK IS SUPPORTED BY THE BASQUE GOVERNMENT (IT980-16), THE UNIVERSITY OF THE BASQUE COUNTRY UPV/EHU (EHUA16/22) AND SNOLA, OFFICIALLY RECOGNIZED THEMATIC NETWORK OF EXCELLENCE (TIN2015-71669-REDT) BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS.
THE PAPER IS PARTLY SUPPORTED WITHIN THE PROJECT BG05M2OP001-1.002-0002-C "DIGITALIZATION OF ECONOMY IN A BIG DATA ENVIRONMENT" FUNDED UNDER THE PROCEDURE "CREATION AND DEVELOPMENT OF CENTRES OF COMPETENCE" OF OPERATIONAL PROGRAMME "SCIENCE AND EDUCATION FOR SMART GROWTH" AND MU17-FF-023 "ACCUMULATIVE FRAME MODELS FOR EXTRACTION AND AGGREGATION OF DATA FOR KNOWLEDGE AND PROCESSES IN LEARNING" OF THE SCIENTIFIC RESEARCH FUND AT THE UNIVERSITY OF PLOVDIV.
THE PAPER IS PARTLY SUPPORTED WITHIN THE PROJECT MU19-FTF-001 "INTELLIGENT DATA ANALYSIS FOR IMPROVING THE LEARNING OUTCOMES" OF THE SCIENTIFIC RESEARCH FUND AT THE UNIVERSITY OF PLOVDIV "PAISII HILENDARSKI".
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015687676, ERASMUS+IMPRESS 2017-1-NL01-KA203-035259).
THIS WORK WAS WITHIN THE STUDENT PROFILE FOR ENHANCING ENGINEERING TUTORING (SPEET) PROJECT, FUNDED BY ERASMUS+. THE AUTHORS ARE GRATEFUL TO UMBERTO SPAGNOLINI AND ALDO TORREBRUNO FOR THEIR COMMENTS AND SUPPORT DURING THIS WORK.
GA'S RESEARCH IS SUPPORTED BY THE ISRAELI MINISTRY OF SCIENCE AND TECHNOLOGY UNDER PROJECT NO. 713257.
THE PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT IN-AID FOR SCIENTIFIC RESEARCH NO. 16H06304 AND NO. 17K12947 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS PROJECT WAS FUNDED BY CURTIN UNIVERSITY TEACHING EXCELLENCE DEVELOPMENT FUND.
THIS WORK WAS CONDUCTED IN THE CONTEXT OF THE LEA'S BOX PROJECT, CONTRACTED UNDER NUMBER 619762, OF THE 7TH FRAMEWORK PROGRAMME OF THE EUROPEAN COMMISSION. THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EC AND THE EC IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENT.
WORK SUPPORTED BY THE INSTITUTE OF CODING WHICH RECEIVED FUNDING FROM THE OFFICE FOR STUDENTS (OFS), AND SUPPORT FROM THE HIGHER EDUCATION FUNDING COUNCIL FOR WALES (HEFCW).
THIS WORK WAS SUPPORTED BY THE PURDUE POLYTECHNIC INSTITUTE.
THE RESEARCH WAS CONDUCTED WITHIN THE PILOT PROJECT "E-SCHOOLS: ESTABLISHING A SYSTEM FOR DEVELOPING DIGITALLY MATURE SCHOOLS (PILOT PROJECT)" BEING CO-FUNDED FROM THE EUROPEAN STRUCTURAL AND INVESTMENT FUNDS -OPERATIONAL PROGRAMME COMPETITIVENESS AND COHESION (OPCC) OF THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) AND THE OPERATIONAL PROGRAMME EFFICIENT HUMAN RESOURCES (OPEHR) OF THE EUROPEAN SOCIAL FUND (ESF).
THIS RESEARCH WORK HAS BEEN CARRIED OUT WITHIN EDUCATION IN KNOWLEDGE SOCIETY PH.D. PROGRAMME OF THE UNIVERSITY OF SALAMANCA [42]. THIS WORK IS ALSO SUPPORTED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGHOUT THE DEFINES PROJECT (REF. TIN2016-80172-R) AND THE SUPPORT OF THE SECRETARY OF UNIVERSITIES AND RESEARCH OF THE DEPARTMENT OF ENTERPRISE AND KNOWLEDGE OF THE GENERALITAT DE CATALUNYA WITH HELP 2017 SGR 934.
THIS PAPER REFERS TO DATA AND ANALYSIS FROM THE PROJECT NRF2015-EDU001-IHL08 AND NRF2015-EDU001-IHL09 FUNDED BY THE SINGAPORE NATIONAL RESEARCH FOUNDATION, EDULAB RESEARCH PROGRAM. THE VIEWS EXPRESSED IN THIS PAPER ARE THE AUTHORS' AND DO NOT NECESSARILY REPRESENT THE VIEWS OF THE NATIONAL INSTITUTE OF EDUCATION.
THE PAPER IS PARTLY SUPPORTED WITHIN THE PROJECT MU19-FTF-001 "INTELLIGENT DATA ANALYSIS FOR IMPROVING THE LEARNING OUTCOMES" OF THE SCIENTIFIC RESEARCH FUND AT THE UNIVERSITY OF PLOVDIV "PAISII HILENDARSKI".
THE FIRST AUTHOR RECEIVED FINANCIAL SUPPORT BY A PHD FELLOWSHIP FROM THE FACULTY OF EDUCATIONAL SCIENCES, UNIVERSITY OF OSLO, NORWAY.
OPEN ACCESS FUNDING PROVIDED BY PROJEKT DEAL. THE AUTHORS ACKNOWLEDGE THE FINANCIAL SUPPORT BY THE FEDERAL MINISTRY OF EDUCATION AND RESEARCH OF GERMANY (BMBF, PROJECT NUMBER 16DHL1038).
THE AUTHORS WOULD LIKE TO THANK CHARLIE NEGRI, NORCE TEKNOLOGI FOR COLLABORATION ON THE DATA ANALYSIS AND THANK PEERGRADE CEO (DAVID WIND) FOR ACCESS TO THE ANONYMISED DATASET. THIS RESEARCH IS FUNDED BY A PHD STIPEND FROM THE UNIVERSITY OF BERGEN, NORWAY.
THE AUTHORS ARE PLEASED TO ACKNOWLEDGE THE FINANCIAL SUPPORT OF THE AUSTRALIAN RESEARCH COUNCIL THROUGH GRANT DP150104163.
THE PROJECT REPORTED HERE HAS BEEN SUPPORTED AND CO-FINANCED BY THE DUTCH SURF-FOUNDATION AS PART OF THE LEARNING ANALYTICS STIMULUS PROGRAM.
THIS WORK IS SUPPORTED BY FUNDING OF FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS), FROM THE MINISTRY OF HIGHER LEARNING EDUCATION (MOHE).
THIS WORK WAS SUPPORTED IN PART BY THE EUROPEAN UNION IN THE CONTEXT OF CEITER AND THE NEXT-LAB INNOVATION ACTION, WHICH HAVE RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT 669074 AND GRANT 731685, IN PART BY PROJECTS VA257P18 (REGIONAL GOVERNMENT OF CASTILE AND LEON, ERDF), TIN2017-85179-C3-2-R (AEI, ERDF).
THIS WORK WAS SUPPORTED BY THE INSTITUTIONAL QUALIFICATION PROGRAM (PIQ) OF THE FEDERAL INSTITUTE OF SERTAO PERNAMBUCANO (IFSERTAO-PE, CAMPUS PETROLINA).
EUROPEAN SOCIAL FUND (09.3.3-LMT-K-712-01-0189, 09.3.3-LMT-K-712)
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NO. 669074 AND 731685).
THIS RESEARCH WAS FUNDED AS PART OF THE SA'S DAILY WORK, NO ADDITIONAL FUNDING WAS RECEIVED.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NO. 669074 AND 731685).
THE FIRST AND THE THIRD AUTHOR WOULD LIKE TO THANK THE RESEARCH COUNCIL OF THE ACADEMY OF FINLAND FOR FINANCIALLY SUPPORTING THIS RESEARCH AND APC UNDER THE GRANT NUMBER 312527.
THE PAPER IS SUPPORTED WITHIN THE NATIONAL PROGRAM "YOUNG SCIENTISTS AND POSTDOCTORAL STUDENTS".
THIS RESEARCH IS FUNDED BY UNIVERSITI MALAYSIA PAHANG UNDER RDU1403163 AND SUPPORTED BY FACULTY OF COMPUTER SYSTEMS AND SOFTWARE ENGINEERING, UNIVERSITI MALAYSIA PAHANG. A THOUSAND APPRECIATIONS TO ALL REVIEWERS AND EDITORS FOR CONSIDERING THIS PAPER TO BE ACCEPTED.
THE AUTHORS WOULD LIKE TO THANK FINNISH FOUNDATION FOR ECONOMIC EDUCATION (WWW.LSR.FI) FOR THE RESEARCH GRANT.
THIS WORK WAS SUPPORTED BY THE ECONOMIC AND SOCIAL RESEARCH COUNCIL [ES/P002161/1].
THE PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 16H03078 AND NO. 17K12947 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS WORK WAS SUPPORTED BY JST PRESTO GRANT NUMBER JPMJPR1505, AND JSPS KAKENHI GRAND NUMBER JP16H06304, JAPAN.
OPEN ACCESS FUNDING PROVIDED BY UNIVERSITY OF EASTERN FINLAND (UEF) INCLUDING KUOPIO UNIVERSITY HOSPITAL.
AP ACKNOWLEDGES THE SUPPORT OF TEC2014-60337-R GRANTS FROM THE MINISTERIO DE ECONOMIA Y COMPETITIVIDAD (MINECO). AP IS PART OF THE 2014SGR-1063 CONSOLIDATED RESEARCH GROUP OF THE GENERALITAT DE CATALUNYA, SPAIN. CIBER OF BIOENGINEERING, BIOMATERIALS AND NANOMEDICINE IS AN INITIATIVE OF ISCIII.
THIS WORK WAS SUPPORTED BY H2020 MARIE SKLODOWSKA-CURIE ACTIONS.
THE PAPER IS SUPPORTED WITHIN THE NATIONAL SCIENTIFIC PROGRAM "YOUNG SCIENTISTS AND POST-DOCTORAL STUDENTS" IN ACCORDANCE WITH APPENDIX NO. 11 OF COUNCIL OF MINISTERS DECISION NO. 577 OF 17 AUGUST 2018.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION, YOUTH AND SPORTS FROM THE NATIONAL PROGRAMME OF SUSTAIN ABILITY (NPU II) PROJECT IT4INNOVATIONS EXCELLENCE IN SCIENCE - LQ1602.
THIS RESEARCH WAS FUNDED BY THE SPANISH MINISTERIO DE ECONOMIA, INDUSTRIA Y COMPETITIVIDAD, GRANT NUMBER TIN2016-79951-R (BIGCLOE) AND BY THE VICERRECTORADO DE ESTUDIOS, CALIDAD Y ACREDITACION OF THE UNIVERSITAT POLITECNICA DE VALENCIA (UPV) TO DEVELOP THE PIME B29.
THIS PAPER IS SUPPORTED BY 2015 HUMANITIES AND SOCIAL SCIENCES FUND PROJECT OF CHINESE MINISTRY OF EDUCATION (NO. 15YJAZH089). THE PROJECT TITLE IS EMPIRICAL RESEARCH OF LEARNING ANALYTICS IN FLIPPED CLASSROOM OF TEACHING CHINESE TO SPEAKERS OF OTHER LANGUAGES.
THIS WORK WAS SUPPORTED BY THE "EMADRID" PROJECT (REGIONAL GOVERNMENT OF MADRID) UNDER GRANT S2013/ICE-2715, THE "RESET" PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT RESET TIN2014-53199-C3-1-R, THE "COMINN" PROJECT (SPANISH MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT IPT-2012-0883-430000, AND THE EUROPEAN ERASMUS+ SHEILA PROJECT UNDER GRANT 562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD.
THIS RESEARCH HAS BEEN PARTIALLY FINANCED BY THE REGIONAL GOVERNMENT OF MADRID [EMADRID S2013/ICE-2715], BY THE MINISTRY OF EDUCATION [TIN2013-46149-C2-1-R, TIN2017-89238-R] AND BY THE EUROPEAN COMMISSION [RAGE H2020-ICT-2014-1-644187, BEACONING H2020ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259].
WE GRATEFULLY ACKNOWLEDGE THE FINANCIAL SUPPORT GRANTED BY UFSC-BRAZIL AND ISEP-P.PORTO-PORTUGAL.
OPEN ACCESS FUNDING ENABLED AND ORGANIZED BY PROJEKT DEAL.
THIS WORK WAS SUPPORTED IN PART BY THE REGIONAL GOVERNMENT OF MADRID UNDER GRANT EMADRID P2018/TCS4307, IN PART BY THE MINISTRY OF EDUCATION UNDER GRANT TIN2017-89238-R, AND IN PART BY THE EUROPEAN COMMISSION UNDER GRANT RAGE H2020-ICT-2014-1-644187, GRANT BEACONING H2020-ICT2015-687676, AND GRANT ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259.
MINISTRY OF EDUCATION, CULTURE AND SPORT THROUGH THE AID OF THE UNIVERSITY TEACHING STAFF TRAINING PROGRAM (F.P.U). REFERENCE FPU14/04626.
THIS PROJECT IS FUNDED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO IIS-1321045
THIS WORK IS SUPPORTED BY THE BASQUE GOVERNMENT (IT980-16), THE UPV/EHU (EHUA 16/22) AND THE VICE-CHANCELLOR FOR INNOVATION, SOCIAL ENGAGEMENT AND CULTURAL ACTION OF THE UPV/EHU THROUGH THE SAE-HELAZ (HBT-ADITUAK 2018-19/6).
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THE LARC PROJECT DISCUSSED IN THIS ARTICLE WAS GENEROUSLY FUNDED BY THE PRINCIPAL'S TEACHING AWARD SCHEME PROVIDED BY THE UNIVERSITY OF EDINBURGH DEVELOPMENT TRUST (SEE HTTP://WWW.ED.AC.UK/INSTITUTE-ACADEMIC-DEVELOPMENT/LEARNING-TEACHING/FUN DING/FUNDING).
EXAMPLES, DATA SETS, AND/OR RESULTS USED IN THIS WORK WERE SUPPORTED BY A GRANT FROM THE UNITED STATES NATIONAL SCIENCE FOUNDATION (AWARD 0737056) AND A BILL & MELINDA GATES GRANT (AWARD 255-20881-XXXX-256246-2503530001-23233).
DR AGUILAR HAS BEEN PARTIALLY SUPPORTED BY THE PROMETEO PROJECT OF THE MINISTRY OF HIGHER EDUCATION, SCIENCE, TECHNOLOGY AND INNOVATION OF THE REPUBLIC OF ECUADOR. THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE UTPL PROJECT ENTITLED: "MEDIOS DE GESTION DE SERVICIOS (MIDDLEWARE) INTELIGENTES PARA ENTORNOS DE APRENDIZAJE VIRTUAL".
THE WORK PRESENTED IN THIS PAPER IS PARTIALLY SUPPORTED BY THE EUROPEAN COMMISSION UNDER HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME - AS PART OF THE NEXT-LAB PROJECT (GRANT AGREEMENT NUMBER NO 731685).
THIS WORK WAS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN UNDER GRANTS MOST-109-2511-H-008-007-MY3, MOST-108-2511-H-008-009-MY3, AND MOST106-2511-S-008-004-MY3.
THIS WORK WAS SUPPORTED BY THE HIGHER EDUCATION FUNDING COUNCIL FOR ENGLAND CATALYST FUND: 'INNOVATIONS IN LEARNING AND TEACHING, AND ADDRESSING BARRIERS TO STUDENT SUCCESS' [GRANT NUMBER PK03].
WE GRATEFULLY ACKNOWLEDGE FINANCIAL SUPPORT FROM CAPES BRAZIL.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION, UNDER GRANT NO. IIS-1321045.
FUNDING WAS PROVIDED BY RESEARCH GRANT OF THE UNIVERSITY OF ST. GALLEN.
THE RESEARCHERS WOULD LIKE TO EXPRESS THEIR HIGHEST GRATITUDE TOWARDS UNIVERSITI KEBANGSAAN MALAYSIA'S RESEARCH GRANT: GGP-2019-026.
THIS WORK IS PARTIALLY FUNDED BY THE FOLLOWING RESEARCH GRANTS:; DR. RWITAJIT MAJUMDAR SPIRITS 2020 OF KYOTO UNIVERSITY JSPS KAKENHI GRANT-IN-AID FOR EARLY-CAREER SCIENTISTS 20K20131; PROF. HIROAKI OGATA JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) 16H06304 NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0.; DR. BRENDAN FLANAGAN JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (B) 20H01722
WE WOULD LIKE TO APPRECIATE MS. SATOMI HAMADA FOR HER CONTRIBUTION TO THIS RESEARCH. THIS RESEARCH WAS SUPPORTED IN PART BY JSPS KAKENHI JP19H01716, JST AIP GRANT NO. JPMJCR19U1 AND CROSS-MINISTERIAL STRATEGIC INNOVATION PROMOTION PROGRAM FROM CABINET OFFICE.
WORK BY AUTHOR, SOLOMON SUNDAY OYELERE WAS SUPPORTED BY THE JENNY AND ANTTI WIHURI FOUNDATION.
THIS RESEARCH IS PARTLY FUNDED BY TWO PROJECTS FUNDED BY THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENTS NO 731685 AND NO. 669074. THE AUTHORS WOULD ALSO LIKE TO THANK THE PARTICIPANTS ON THE DESIGN EVENTS FOR THEIR FEEDBACK AND IDEAS.
THE WORK HAS PARTIALLY RECEIVED FUNDING FROM THE EUROPEAN UNION'S ERASMUS+ CAPACITY BUILDING IN HIGHER EDUCATION PROGRAM UNDER GRANT AGREEMENT NO. 586060-EPP-1-2017-1- RO-EPPKA2-CBHE-JP FOR THE EXTEND PROJECT.
AUTHORS WOULD LIKE TO ACKNOWLEDGE THE MANAGEMENT OF MIDDLE EAST COLLEGE, FOR CONSTANTLY PROVIDING SUPPORT AND ENCOURAGEMENT TOWARDS RESEARCH AND INNOVATION IN ACADEMIC PRACTICES.
THIS WORK WAS SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION OF KOREA GRANT FUNDED BY THE KOREAN GOVERNMENT (NRF-2013S1A5A2A0304410)
THE AUTHORS ALSO WISH TO THANK INDIRE PRESIDENCY AND DIRECTORATE FOR SUPPORTING AND SPREADING THE INITIATIVE AT NATIONAL AND INTERNATIONAL LEVEL.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE UNIVERSITY OF MICHIGAN OFFICE OF ACADEMIC INNOVATION AND SCHOOL OF INFORMATION. THE AUTHORS THANK ALL PARTICIPANTS AND THE UNIVERSITY OF MICHIGAN' ITS DEPARTMENT.
THIS RESEARCH WAS FUNDED BY THE EUROPEAN COMMISSION UNDER THE EUROPEAN UNION'S ERASMUS+ PROJECT "VIRTUS" (GRANT NO. 562222).
THE AUTHORS OF' THIS PAPER WOULD LIKE TO THANK THE UNIVERSITY-OF PIRAEUS RESEARCH CENTER FOR THE FINANCIAL SUPPORT OF THIS RESEARCH PAPER.
THIS WORK WAS SUPPORTED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING UNDER GRANT NUMBER SP 16-5264. THE AUTHORS WOULD ALSO LIKE TO THANK THE TWO ANONYMOUS REVIEWERS FOR THEIR CONSTRUCTIVE FEEDBACK AND SUGGESTIONS TO ENHANCE THE PAPER.
THIS RESEARCH WORK WAS PARTIALLY SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 16H03078 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS RESEARCH IS CO-FUNDED BY THE ERASMUS+ PROGRAM OF THE EUROPEAN UNION (562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD).
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2015S1A5A2A03048269, NRF-2019S1A5A2AO3053308).
THE WORK WHICH RESULTED IN THIS PUBLICATION HAS BEEN PARTLY FUNDED BY THE EUROPEAN COMMISSION (EC) (7TH FRAMEWORK PROGRAMME CONTRACT NO. 619762, LEA'S BOX). THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EC AND THE EC IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENT.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF THE INNOVATIVE RESEARCH UNIVERSITIES
THE PELARS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S SEVENTH FRAMEWORK PROGRAMME FOR RESEARCH, TECHNOLOGICAL DEVELOPMENT AND DEMONSTRATIONS, UNDER GRANT AGREEMENT 619738.
THIS RESEARCH WAS CONDUCTED BY THE PUI DISRUPTIVE LEARNING INNOVATION (DLI) PERSONALYZED LEARNING TEAM, WHICH WAS FUNDED BY THE LP2M GRANT FROM MALANG STATE UNIVERSITY.
SOME OF THE WORK CONDUCTED WAS FUNDED BY THE ERASMUS + STELA AND ABLE PROJECTS.; (ABLE PROJECT: 2015-1-BE-EPPKA3-PI-FORWARD, STELA PROJECT: 562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD)
THIS STUDY IS FUNDED BY EDUCATION RESEARCH FUNDING PROGRAMME, NATIONAL INSTITUTE OF EDUCATION (NIE), NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE, WITH PROJECT NO. OER 02/20 WY. THE DATA FOR RETROSPECTIVE ANALYSIS IS BASED ON THE WORK SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION (SINGAPORE) UNDER GRANT NRF2007-IDM003-MOE-001. WE ARE GRATEFUL TO ALL THE RESEARCHERS, TEACHERS, AND STUDENTS PARTICIPATED IN THE PROJECT.
THIS RESEARCH WAS SUPPORTED BY THE UNIVERSITY OF BRITISH COLUMBIA'S CARL WIEMAN SCIENCE EDUCATION INITIATIVE.
PART OF THIS WORK HAS BEEN SUPPORTED BY THE RESEARCH FOUNDATION FLANDERS (FWO, GRANT AGREEMENT NO. G0C9515N) AND THE SECRETARY OF HIGHER EDUCATION, SCIENCE, TECHNOLOGY AND INNOVATION, ECUADOR (SENECYT, PROJECT PIC-15-ESPOL-FWO-001).
THIS ARTICLE WAS PRESENTED WITH FUNDING OF CMEP TASSILI PROJECT "ADAPTATION DES PARCOURS D'APPRENTISSAGE DES APPRENANTS EN UTILISANT LES TECHNIQUES DE L'IA POUR L'INTRODUCTION DE LA PENSEE INFORMATIQUE A L'ECOLE".
THIS STUDY WAS CONDUCTED WITH SUPPORT OF THE UNIVERSITY OF TARTU PROJECT "DEVELOPING THE TEACHER EDUCATION COMPETENCE CENTRE PEDAGOGICUM AT THE UNIVERSITY OF TARTU" FINANCED BY THE EUROPEAN SOCIAL FUND. WE ALSO THANK ALL STUDENTS AND UNIVERSITY TEACHERS WHO PARTICIPATED IN THE FOCUS GROUP INTERVIEWS.
THIS RESEARCH WAS FUNDED BY THE RESEARCH GRANTS COUNCIL (RGC), UNIVERSITY GRANTS COMMITTEE OF HONG KONG, GRANTS NUMBER 27606915 AND 17608318.
THIS RESEARCH WAS FUNDED BY THE DATA-INFORMED LEARNING DESIGN FOR FUTURE SCHOOLS OF BEIJING ADVANCED INNOVATION CENTER FOR FUTURE EDUCATION (AICFE), BEIJING NORMAL UNIVERSITY, CHINA (GRANT AICFE-IO-013), AND THIS RESEARCH WAS SUPPORTED BY 2019 COMPREHENSIVE DISCIPLINE CONSTRUCTION FUND OF FACULTY OF EDUCATION, BEIJING NORMAL UNIVERSITY.
THIS WORK IS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61907038).
THIS WORK WAS SUPPORTED BY JST PRESTO GRANT NUMBER JPMJPR1505, JAPAN.
THIS WORK WAS PARTLY FUNDED BY THE LACE PROJECT (GA NO. 619424) UNDER THE FP7 PROGRAMME OF THE EUROPEAN COMMISSION.
THE UNDERLYING PROJECT TO THIS ARTICLE IS FUNDED BY THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP) OF THE EUROPEAN COMISSION. THE AUTHORS ARE RESPONSIBLE FOR THE CONTENT OF THIS ARTICLE.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE FP7 ICT WORKPROGRAMME OF THE EUROPEAN COMMUNITY: "LEARNING LAYERSSCALING UP TECHNOLOGIES FOR INFORMAL LEARNING IN SME CLUSTERS" (GRANT NO. 318209) AND BY THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAM: "CEITER -CROSS-BORDER EDUCATIONAL INNOVATION THROUGH TECHNOLOGY-ENHANCED RESEARCH" (GRANT NO. 669074) AND "AFEL - ANALYTICS FOR EVERYDAY LEARNING" (GRANT NO. 687916). IT HAS ALSO BEEN PARTIALLY FUNDED BY THE KNOW-CENTER GMBH GRAZ (AUSTRIAN FFG COMET PROGRAM).
THIS WORK WAS SUPPORTED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING UNDER GRANT NUMBER OLT PROJECT SP 16-5264. THE FIRST AUTHOR WOULD ALSO LIKE TO ACKNOWLEDGE THE COMMONWEALTH GOVERNMENT'S CONTRIBUTION THROUGH AN AUSTRALIAN GOVERNMENT RESEARCH TRAINING PROGRAM SCHOLARSHIP, WITHOUT WHICH THIS RESEARCH WOULD NOT HAVE BEEN POSSIBLE.
THE AUTHORS WISH TO THANK UNIVERSITI SAINS MALAYSIA FOR SPONSORING THIS WORK UNDER THE FELLOWSHIP PROGRAM.
THIS STUDY WAS SUPPORTED BY JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE(JSPS) [GRANT NUMBER JP19H01716,JP20H01727], AND JST AIP [GRANT NUMBER JPMJCR19U1].
EU-FUNDED ECO PROJECT (ELEARNING, COMMUNICATION AND OPEN-DATA MASSIVE MOBILE, UBIQUITOUS AND OPEN LEARNING, 2014-2017 [GRANT NUMBER 21127]
THE INSTITUTIONAL QUALIFICATION PROGRAM OF THE FEDERAL INSTITUTE OF SERTAO PERNAMBUCANO (IFSERTAO-PE) SUPPORTED THIS RESEARCH.
THE RESEARCH IS DONE WITH FINANCIAL SUPPORT OF SOFIA UNIVERSITY "ST. KLIMENT OHRIDSKI" RESEARCH SCIENCE FUND PROJECT N80-10-217/24.04.2017 "INQUIRY-BASED LEARNING IN THE FIELD OF HIGH TECHNOLOGIES AS AN APPLICATION OF MODERN INFORMATION TECHNOLOGIES" AND DFNI I02-2/2014 (02-2/2014) PROJECT, FUNDED BY THE NATIONAL SCIENCE FUND, MINISTRY OF EDUCATION AND SCIENCE IN BULGARIA.
THE WORK REPORTED THIS PAPER IS FUNDED BY THE EUROPEAN COMMISSION WITHIN THE ERASMUS+ PROGRAMME IN THE CONTEXT OF THE PROJECT ODEDU UNDER GRAND AGREEMENT NO. 562604.
WE WISH TO ACKNOWLEDGE THE SUPPORT OF THE AUSTRALIAN GOVERNMENT'S OFFICE OF LEARNING AND TEACHING, GRADUATE CAREERS AUSTRALIA AND THE AUSTRALIAN TECHNOLOGY NETWORK'S LEARNING AND TEACHING GRANTS, FROM WHICH THE PRACTICAL WORK CONDUCTED AND EDGE CASES DESCRIBED HERE WERE DERIVED. EXTENSIVE CONVERSATIONS WITH COLLABORATORS ON THOSE PROJECTS, COLLEAGUES AT THE CONNECTED INTELLIGENCE CENTRE, MEMBERS OF THE SOCIETY FOR LEARNING ANALYTICS RESEARCH AND OTHER PRACTITIONERS AROUND THE WORLD HELPED TO SEED THIS WORK.
THIS RESEARCH HAS BEEN CO-FUNDED BY THE SEVENTH FRAMEWORK PROGRAMME OF THE EUROPEAN COMMISSION, THROUGH PROJECT ITALK2LEARN (#318051). WWW.ITALK2LEARN.EU.
EUROPEAN SOCIAL FUND, GRANT/AWARD NUMBER: P2018/TCS-4307; MADRID REGIONAL GOVERNMENT, GRANT/AWARD NUMBER: P2018/TCS-4307; E-MADRID-CM, GRANT/AWARD NUMBER: S2018/TCS-4307; EUROPEAN REGIONAL DEVELOPMENT FUND, GRANT/AWARD NUMBERS: TIN2017-85179-C3-1-R, P2018/TCS-4307; SMARTLET PROJECT, GRANT/AWARD NUMBER: TIN2017-85179-C3-1-R; RESET PROJECT, GRANT/AWARD NUMBER: TIN2014-53199-C3-1-R; MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES-AGENCIA ESTATAL DE INVESTIGACION, GRANT/AWARD NUMBER: TIN2017-85179-C3-1-R
THE PAPER IS PARTLY SUPPORTED WITHIN THE PROJECT MU19-FTF-001 "INTELLIGENT DATA ANALYSIS FOR IMPROVING THE LEARNING OUTCOMES" OF THE SCIENTIFIC RESEARCH FUND AT THE UNIVERSITY OF PLOVDIV "PAISII HILENDARSKI".
THE AUTHORS THANK PROFESSORS M<SUP>A</SUP> BELEL ZALBA NONAY, EVA LLERA SASTRESA, SERGIO USON GIL AND JOSE MARIA MARIN HERRERO FOR THEIR WILLINGNESS TO DISCUSS AND SHARE THEIR EXPERIENCE IN THE FIELD OF TEACHING INNOVATION. THIS RESEARCH HAS BEEN FUNDED BY THE PROGRAM FOR PROMOTING TEACHING INNOVATION (PIIDUZ_18_102 AND PRAUZ_18_012) FROM THE UNIVERSITY OF ZARAGOZA.
THE RESEARCH REPORTED HERE HAS BEEN FUNDED ON INTERNAL COST OF THE OPEN UNIVERSITY OF THE NETHERLANDS AND TALLINN UNIVERSITY. COSTS FOR PUBLISHING OPEN ACCESS ARE ALSO COVERED ON INTERNAL FUNDS. WE SPECIFICALLY THANK THE PARTICIPANTS OF OUR STUDY FOR THEIR CONTRIBUTIONS.
THIS RESEARCH PROJECT IS CO-FUNDED BY THE EUROPEAN COMMISSION ERASMUS + PROGRAM, IN THE CONTEXT OF THE PROJECT 562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD. PLEASE VISIT OUR WEBSITE HTTP://STELA-PROJECT.EU.
SEVENTH FRAMEWORK PROGRAMME OF THE EUROPEAN COMMUNITY FOR RESEARCH AND TECHNOLOGICAL DEVELOPMENT, GRANT/AWARD NUMBER: 619738
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER PROJECT FUTURE LEARNING (255129/H20).
ACKNOWLEDGEMENT THE DATA UNDERLYING THIS MANUSCRIPT WAS COLLECTED IN THE SHEILA PROJECT COFUNDED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION [562080EPP120151BEEPPKA3PIFORWARD] .
THE AUTHORS WOULD LIKE TO THANK THE MINISTRY OF HIGHER EDUCATION (MOHE) FOR THEIR SUPPORT IN MAKING THIS PROJECT POSSIBLE. THIS RESEARCH WAS SUPPORTED BY MINISTRY OF HIGHER EDUCATION (MOHE) THROUGH FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS/1/2020/SSI0/UTM/02/11).
THIS RESEARCH WAS PARTIALLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P "ICT-FLAG" (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION).
WE THANK THE REVIEWERS FOR THEIR VERY HELPFUL COMMENTS AND ADVICE WHICH HAVE ENABLED US TO GREATLY IMPROVE THIS PAPER. THIS RESEARCH WAS SUPPORTED BY FUNDING FROM THE FACULTY OF ENGINEERING & INFORMATION TECHNOLOGIES, THE UNIVERSITY OF SYDNEY, UNDER THE FACULTY RESEARCH CLUSTER PROGRAM. THE LEA'S BOX PROJECT IS SUPPORTED BY THE EUROPEAN COMMISSION (EC) UNDER THE INFORMATION SOCIETY TECHNOLOGY PRIORITY FP7 FOR R&D, CONTRACT 619762 LEA'S BOX. THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THESE BODIES AND THE EC IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENTS.
THIS RESEARCH WAS FUNDED BY THE FLIP2G PROJECT. THIS PROJECT HAS BEEN FUNDED WITH THE SUPPORT OF THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION. THIS PAPER REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
CONACYT, GRANT/AWARD NUMBERS: SNI-264215, 36453; IPN, GRANT/AWARD NUMBERS: SIBE DEBEC/283-275/2017, SIP/DI/DOPI/EDI-888/16, SIP-20171313, SIP-20181407
THIS WORK WAS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN UNDER GRANTS MOST-104-2511-S-008-006-MY2, MOST-105-2511-S-008-003-MY3, MOST-105-2622-S-008-002-CC2, MOST-106-2511-S-008 -004 -MY3.
THIS RESEARCH WAS FUNDED BY THE INSTITUTIONAL QUALIFICATION PROGRAM OF THE FEDERAL INSTITUTE OF SERTAO PERNAMBUCANO AND PARTIALLY FUNDED BY INES 2.0, FACEPE GRANTS PRONEX APQ 0388-1.03/14, APQ-0399-1.03/17 AND CNPQ GRANT 465614/2014-0.
THIS RESEARCH HAS BEEN CARRIED OUT WITH THE SUPPORT OF THE AUSTRALIAN RESEARCH COUNCIL DISCOVERY PROJECT, DP180101051, AND NATURAL SCIENCE FOUNDATION OF CHINA, NO. 61877051, AND UGPN RCF 2018-2019 PROJECT BETWEEN UNIVERSITY OF WOLLONGONG AND UNIVERSITY OF SURREY.
THIS WORK IS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN [GRANT NUMBERS NSC 102-2511-S-008-013-MY3 AND MOST 104-2511-S-008-006-MY2].
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259) AND BY THE TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES.
THIS WORK HAS BEEN SUPPORTED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH PROJECTS MTM2014-57158-R, AND THE UNIVERSIDAD COMPLUTENSE DE MADRID THROUGH PROJECT 83 (INNOVA-DOCENCIA).
THIS WORK WAS SUPPORTED IN PART BY THE FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES-AGENCIA ESTATAL DE INVESTIGACION, THROUGH THE SMARTLET PROJECT UNDER GRANT TIN2017-85179-C3-1-R, IN PART BY THE MADRID REGIONAL GOVERNMENT THROUGH THE E-MADRID-CM PROJECT UNDER GRANT S2018/TCS-4307, A PROJECT WHICH IS CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS (FSE AND FEDER), IN PART BY THE MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES UNDER GRANT FPU016/00526 AND GRANT EST18/00554, IN PART BY THE HONG KONG RGC'S THEME-BASED RESEARCH SCHEME UNDER GRANT T44-707/16-N, AND IN PART BY THE INNOVATION AND TECHNOLOGY FUND UNDER GRANT ITS/388/17FP.
THIS WORK IS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN UNDER GRANTS MOST-109-2511-H-008-007-MY3, MOST-1082511-H-008-009-MY3, AND MINISTRY OF EDUCATION, TAIWAN.
THE FIRST AUTHOR RECEIVED FINANCIAL SUPPORT BY A PHD FELLOWSHIP FROM THE FACULTY OF EDUCATIONAL SCIENCES, UNIVERSITY OF OSLO, NORWAY.
THIS WORK WAS FINANCIALLY SUPPORTED BY THE LINNAEUS UNIVERSITY CENTRE FOR DATA INTENSIVE SCIENCES AND APPLICATIONS (DISA).
THIS RESEARCH WAS SUPPORTED BY THE UNIVERSITI MALAYA, BANTUAN KHAS PENYELIDIKAN UNDER THE RESEARCH GRANT OF BKS083-2017.
THIS RESEARCH WAS FUNDED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA NAMED RESEARCH ON EYE MOVEMENT BIG DATA BASED STUDENTS' LEARNING STATE PROFILING AND ITS APPLICATIONS, GRANT NUMBER 61907009.
THIS RESEARCH WAS SUPPORTED BY THE IRISH RESEARCH COUNCIL IN ASSOCIATION WITH THE NATIONAL FORUM FOR THE ENHANCEMENT OF TEACHING AND LEARNING IN IRELAND UNDER PROJECT NUMBER GOIPG/2015/3497, BY SCIENCE FOUNDATION IRELAND UNDER GRANT NUMBER 12/RC/2289, AND BY FULBRIGHT IRELAND.
THE AUTHORS GRATEFULLY ACKNOWLEDGE ALL THE EXPERTS FOR THEIR VALUABLE TIME AND PROFESSIONAL FEEDBACK TO ENHANCE AND VALIDATE THIS RESEARCH WORK. THIS RESEARCH WAS SUPPORTED IN PART BY THE RESEARCH LABORATORY OF TECHNOLOGIES OF INFORMATION AND COMMUNICATION & ELECTRICAL ENGINEERING (LATICE), TUNISIA AND THE MINISTRY OF SCIENCE AND TECHNOLOGY OF REPUBLIC OF CHINA (TAIWAN) UNDER PROJECT NUMBERS MOST 104-2511-S-110-009-MY3, 104-2511-S-110-007-MY3.
WE PROPOSE TO BRING TO THE WORKSHOP THE NECESSARY DEVICES (RESPEAKERS AND TABLET) TO MAKE AN ON-SITE DEMONSTRATION OF THE COLLECTION OF VOICE AND VIDEO DATA, TO ANALYZE COLLABORATION IN WORK TEAMS. WE WILL BE OPEN TO RECEIVING QUESTIONS AND FEEDBACK, AS WELL AS MAKING OUR WORK AVAILABLE TO COLLABORATE IN OTHER PROJECTS. THE IDEA IS TO GET PARTNERS TO START A JOINT PROJECT AND OBTAIN FINANCING FOR THE REQUIRED COSTS. AS FUNDING OPPORTUNITIES, BESIDES THE INTERNAL RESEARCH FUNDS OF EACH COUNTRY, WHICH INCLUDE RESOURCES FOR INTERNATIONAL COLLABORATIONS (E.G. FONDECYT, CONACYT, ETC.) THERE IS THE THEMATIC NETWORKS OF THE PROGRAMA IBEROAMERICANO DE CIENCIA Y TECNOLOGIA PARA EL DESARROLLO (CYTED), WHICH INCLUDES A LINE OF SCIENCE AND SOCIETY.
THIS WORK WAS SUPPORTED BY GRANT FROM NSFC (GRANT NO. 61532004) AND STATE KEY LABORATORY OF SOFTWARE DEVELOPMENT ENVIRONMENT (FUNDING NO. SKLSDE-2017ZX-04). THIS WORK IS PARTIALLY FUNDED BY BEIJING ADVANCED INNOVATION CENTER FOR BIG DATA AND BRAIN COMPUTING, BEIHANG UNIVERSITY.
THIS MATERIAL IS BASED IN PART UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NUMBERS 1555550 AND 1147590. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR(S) AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION. IN ADDITION, THE AUTHORS WOULD LIKE TO THANK THE GORDON AND BETTY MOORE FOUNDATION FOR THEIR SUPPORT.
THIS WORK IS SUPPORTED BY JSPS GRANT-IN-AID FOR START-UP RESEARCH ACTIVITY NUMBER 19K20941.
THIS WORK WAS SUPPORTED WITH THE FINANCIAL SUPPORT OF THE SCIENCE FOUNDATION IRELAND GRANT 13/RC/2094 AND CO-FUNDED UNDER THE EUROPEAN REGIONAL DEVELOPMENT FUND THROUGH THE SOUTHERN & EASTERN REGIONAL OPERATIONAL PROGRAMME TO LERO -THE SCIENCE FOUNDATION IRELAND RESEARCH CENTRE FOR SOFTWARE (WWW.LERO.IE).
SUPPORT FOR THIS PROJECT HAS BEEN PROVIDED BY THE AUSTRALIAN GOVERNMENT'S OFFICE FOR LEARNING AND TEACHING (OLT). THE VIEWS IN THIS PROJECT DO NOT NECESSARILY REFLECT THE VIEWS OF THE OLT. THE RESEARCH CONDUCTED IN THIS PAPER WAS COVERED BY QUT'S OFFICE OF RESEARCH ETHICS AND INTEGRITY (OREI), APPROVAL NUMBER 1500000398.
THIS STUDY IS FUNDED BY JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE(JSPS) (GRANT NUMBER: JP16H06304, JP16H03080, JP19H01716), AND CROSS-MINISTERIAL STRATEGIC INNOVATION PROMOTION PROGRAM FROM CABINET OFFICE.
THIS WORK WAS PARTIALLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S)16H06304 AND NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0.
THIS WORK WAS SUPPORTED IN PART BY THE LALA PROJECT UNDER GRANT 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP FROM THE EUROPEAN COMMISSION (EC), IN PART BY EMBED PROJECT UNDER GRANT 2017-1-NL01KA203-035288 FROM THE EC, IN PART BY SMART-DATA SCHOOLS DISCOVERY PROJECT UNDER GRANT DP190102286 FROM THE AUSTRALIAN RESEARCH COUNCIL (ARC). THIS PAPER REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE EC AND ARC ARE NOT RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. (WANNISA MATCHA AND NORA'AYU AHMAD UZIR CONTRIBUTED EQUALLY TO THIS WORK.)
THIS WORK IS SUPPORTED BY THE FORTH-ICS INTERNAL RTD PROGRAM "AMBIENT INTELLIGENCE ENVIRONMENTS".
THIS WORK WAS SUPPORTED BY JST MIRAI GRANT NUMBER 17-171024547, JAPAN.
THIS RESEARCH IS PART OF JS'S PHD FUNDED BY THE CENTRE FOR THE SCIENCE OF LEARNING & TECHNOLOGY (SLATE), UNIVERSITY OF BERGEN, NORWAY.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION, YOUTH AND SPORTS FROM THE NATIONAL PROGRAMME OF SUSTAINABILITY (NPU II) PROJECT 'IT4INNOVATIONS EXCELLENCE IN SCIENCE -LQ1602' AND SAO PAULO RESEARCH FOUNDATION (FAPESP) PROJECT 2018/07688-1.
THIS WORK WAS SUPPORTED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION [562080-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD]. THE EUROPEAN COMMISSION SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION WILL NOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. WE WOULD LIKE TO THANK THE PARTICIPANT OF THIS STUDY FOR THEIR GENEROUS CONTRIBUTIONS.
THIS PROJECT WAS PARTIALLY SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN, ROC (MOST: 104-2410-H-011-022-MY2).
WE WOULD LIKE TO THANK THE UNIVERSITY OF SALAMANCA (SPAIN) PHD PROGRAMME ON EDUCATION IN THE KNOWLEDGE SOCIETY SCOPE. SIMILARLY, WE ARE GRATEFUL TO ESCUELA SUPERIOR POLITECNICA DE CHIMBORAZO (ECUADOR). THIS WORK HAS BEEN PARTIALLY FUNDED BY THE SPANISH GOVERNMENT MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGHOUT THE DEFINES PROJECT (REF. TIN2016-80172-R)
THE RESEARCH IS PART OF THE PROJECT "IMPLEMENTATION OF SOFTWARE ENGINEERING COMPETENCE REMOTE EVALUATION FOR MASTER PROGRAM GRADUATES (ISECRET)" RUN BY TTI, CONTRACT NO. 20151-LV01-KA203-013439, CO-FINANCED BY EC ERASMUS+ PROGRAM.
THE PRESENTED RESEARCH AND DEVELOPMENT IS PARTLY FUNDED BY THE LEARNING ANALYTICS COMMUNITY EXCHANGE (LACE) PROJECT. LACE IS A SEVENTH FRAMEWORK PROGRAMME COLLABORATIVE PROJECT FUNDED BY THE EUROPEAN COMMISSION UNDER GRANT AGREEMENT NUMBER: 619424 (HTTP://WWW.LACEPROJECT.EU/).
THIS WORK WAS FUNDED BY MEDU -AQUIFER.
THIS WORK IS SUPPORTED BY THE ERDF - EUROPEAN REGIONAL DEVELOPMENT FUND THROUGH THE COMPETE PROGRAMME (OPERATIONAL PROGRAMME FOR COMPETITIVENESS) AND BY NATIONAL FUNDS THROUGH THE FCT (PORTUGUESE FOUNDATION FOR SCIENCE AND TECHNOLOGY) WITHIN PROJECT "REMINDS/UTAP-ICDT/EEICTP/0022/2014".
THE E-UCM RESEARCH GROUP HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), BY THE MINISTRY OF EDUCATION (TIN2013-46149-C2-1-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEA-CONING H2020-ICT-2015-687676).
AN ASPECT OF THIS RESEARCH WAS FUNDED BY VERICUS.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER UNDER GRANT AGREEMENTS NO. 669074.
THE WORK PRESENTED IN THIS PAPER WAS CARRIED OUT IN THE CONTEXT OF THE PBL3.0 PROJECT,1 WHICH IS FUNDED BY THE EUROPEAN COMMISSION WITHIN THE ERASMUS+ PROGRAMME UNDER GRAND AGREEMENT NO. 562236. THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE ASSISTANCE OF PBL AND LA EXPERTS AS WELL AS ADDITIONAL EDUCATORS FOR THEIR VALUABLE FEEDBACK THROUGHOUT THIS RESEARCH. THE AUTHORS WOULD ALSO LIKE TO THANK THE EDITOR AND ANONYMOUS REVIEWERS FOR THEIR COMMENTS WHICH ALLOWED US TO CONSIDERABLY ENHANCE THE QUALITY OF THIS PAPER.
THIS WORK WAS SUPPORTED BY MINISTERIO DE ECONOMIA Y COMPETITIVIDAD [GRANT NUMBER TIN2015-63502-C3-1-R, TIN2015-66731-C2-2-R] AND JUNTA DE COMUNIDADES DE CASTILLA-LA MANCHA [GRANT NUMBER PPII-2014-021-P].
THE AUTHORS WISH TO ACKNOWLEDGE THE SUPPORT OF CANADIAN INTERNET REGISTRATION AUTHORITY (CIRA)'S COMMUNITY INVESTMENT PROGRAM, NATURAL SCIENCES AND ENGINEERING RESEARCH COUNCIL OF CANADA (NSERC), AND ATHABASCA UNIVERSITY.
THE WORK IN THIS PAPER WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NO. 71571133, 71201155, 71722005). THE PREVIOUS STAGE OF THIS WORK WAS PRESENTED AT THE 20TH PACIFIC ASIA CONFERENCE ON INFORMATION SYSTEMS (ZHANG AND MENG, 2016), WE THANK FOR ALL THE REVIEWERS' HELP AND SUGGESTIONS.
THIS RESEARCH IS PARTIALLY FUNDED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES UNDER PROJECT GRANTS TIN2017-85179-C3-2-R AND TIN2014-53199-C3-2-R, BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL MINISTRY OF EDUCATION OF CASTILE AND LEON UNDER PROJECT GRANT VA257P18, BY THE EUROPEAN COMMISSION UNDER PROJECT GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA AND BY EUROPEAN UNION'S HORIZON 2020 UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT 793317.
ROBERTO MUNOZ AND RODOLFO VILLARROEL WERE FUNDED BY PROJECT DOC-INNOVA 2018. VICTOR HUGO C. DE ALBUQUERQUE APPRECIATES THE SUPPORT RECEIVED FROM THE BRAZILIAN NATIONAL COUNCIL FOR RESEARCH AND DEVELOPMENT (CNPQ, GRANTS #304315/2017-6 AND #430274/2018-1). WE ALSO WANT TO THANK THE ANONYMOUS REVIEWERS FOR THEIR VALUABLE COMMENTARIES THAT ALLOW US TO IMPROVE THE ARTICLE.
THIS STUDY WAS SUPPORTED BY THE FUNDING FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC 895-2011-1006). ANY OPINIONS, FINDINGS AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR(S) AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA.
THIS WORK WAS PARTLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (B) 20H01722, JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) 16H06304 AND NEDO JPNP20006 AND JPNP18013.
THIS WORK WAS PARTLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) 16H06304 AND NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0.
THIS WORK WAS CARRIED OUT AS PART OF THE CATALYST PROJECT, WHICH IS FUNDED BY THE EUROPEAN COMMISSION (GRANT AGREEMENT #6111188).
WE APPRECIATE THE EXPERTS WHO PARTICIPATED IN THE REVIEW OF OUR INITIAL INSTRUMENT. THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2015S1A5B6036244).
THIS RESEARCH WAS SUPPORTED IN PART BY A GRANT FROM THE NATIONAL SCIENCE FOUNDATION UNDER GRANT IIS-1447489.
WE GIVE THANKS TO KENNISNET FOR FINANCIAL SUPPORT FOR THIS STUDY.
THIS STUDY WAS CONDUCTED AS PART OF THE "WORKPLACE-BASED E-ASSESSMENT TECHNOLOGY FOR COMPETENCY-BASED HIGHER MULTI-PROFESSIONAL EDUCATION" (WATCHME) PROJECT SUPPORTED BY THE EUROPEAN COMMISSION 7TH FRAMEWORK PROGRAMME (GRANT AGREEMENT NO. 619349).
THIS WORK IS SUPPORTED BY THE DIRECTORATE FOR EDUCATION AND HUMAN RESOURCES IN NATIONAL SCIENCE FOUNDATION (NSF) OF THE UNITED STATES UNDER [GRANT NUMBERS 1512868, 1348530 AND 1503196].
THIS RESEARCH WAS FUNDED BY STOCKHOLM UNIVERSITY RECTORS FUND (SU FV-1.1.9-0314-15). THE PROJECT TEAM, ESPECIALLY THE LEGAL EXPERT LIANE COLONNA IS HIGHLY ACKNOWLEDGED FOR THE VALUABLE CONTRIBUTIONS.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION (GRANT AGREEMENTS NO. 669074 AND 731685), THE SPANISH MINISTRIES OF ECONOMY AND COMPETITIVENESS (PROJECTS TIN2014-53199-C3-2-R AND TIN2017-85179-C3-2-R) AND SCIENCE AND EDUCATION (PRX17/00410), AND THE REGIONAL GOVERNMENT OF CASTILLA Y LEON (PROJECT VA082U16).
THIS RESEARCH WAS SUPPORTED BY A GRANT FROM THE FONDS NATIONAL DE LA RECHERCHE LUXEMBOURG (LUXEMBOURGISH NATIONAL RESEARCH FOUND) [CORE 'TRIOPS'].
THIS WORK WAS SUPPORTED IN PART BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER GRANT TIN2015-66731-C2-2-R AND IN PART BY THE GOVERNMENT OF THE JUNTA DE COMUNIDADES DE CASTILLA-LA MANCHA UNDER GRANT PPII-2014-021-P. AUTHORS WOULD LIKE TO THANK DR. SERAFIN MORAL FOR HIS INVALUABLE HELP WITH LEARNING ALGORITHMS AND MODEL VALIDATION WITH ELVIRA PROGRAM.
THE AUTHORS WOULD LIKE TO THANK CAMERON C. SHAW OF GEORGE MASON UNIVERSITY FOR HER REVIEW OF AND CONTRIBUTION TO THIS WORK. THIS RESEARCH WAS SUPPORTED IN PART BY A GRANT FROM THE NATIONAL SCIENCE FOUNDATION UNDER GRANT IIS-1447489.
THIS RESEARCH WAS SUPPORTED BY THE HONG KONG UNIVERSITY GRANTS COMMITTEE THROUGH THE FUNDING SCHEME FOR TEACHING AND LEARNING RELATED PROPOSALS IN THE 2016-19 TRIENNIUM-POLYU5/T&L/16-19. THE PROJECT IS A CROSS-INSTITUTIONAL COLLABORATION BETWEEN THE HONG KONG POLYTECHNIC UNIVERSITY, THE HONG KONG BAPTIST UNIVERSITY AND THE CHINESE UNIVERSITY OF HONG KONG. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT VIEWS OF THE HONG KONG UNIVERSITY GRANTS COMMITTEE OR THE UNIVERSITIES.
AUTHOR GSB THANKS THE CATEDRA CONACYT PROGRAM FOR SUPPORTING THIS RESEARCH.
THIS PAPER REFERS TO DATA AND ANALYSIS FROM THE RESEARCH PROJECT NRF2013-EDU001-EL019, FUNDED BY THE SINGAPORE NATIONAL RESEARCH FOUNDATION, EDULAB RESEARCH PROGRAM. THE VIEWS EXPRESSED IN THIS PAPER ARE THE AUTHORS' AND DO NOT NECESSARILY REPRESENT THE VIEWS OF THE NATIONAL INSTITUTE OF EDUCATION, SINGAPORE.
THIS WORK WAS FUNDED BY THE EU LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THIS PROJECT HAS BEEN FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION. THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. THE AUTHORS WOULD LIKE TO THANK THE REVIEWERS FOR THEIR CONSTRUCTIVE SUGGESTIONS, IN ADDITION TO THE LASPAU FELLOWSHIP PROGRAM, ORGANIZATION AFFILIATED TO HARVARD UNIVERSITY THAT SUPPORTED THIS WORK DURING ITS DEVELOPMENT.
THIS WORK WAS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN [GRANT NUMBERS MOST-105-2511-S-008-003-MY3, MOST-105-2622-S-008-002-CC2, MOST-106-2511-S-008-004-MY3].
THIS WORK WAS SUPPORTED AND FUNDED BY OPENTEL AT THE OPEN UNIVERSITY.
THE STUDY WAS FUNDED BY TEACHING DEVELOPMENT GRANT (REF: HKIED7/T&L/12-15) UNDER THE HONG KONG UNIVERSITY GRANTS COMMITTEE.
THIS RESEARCH WAS FUNDED BY THE EUROPEAN COMMISSION THROUGH THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS" (588438-EPP-1-2017-1-EL-EPPKA2-KA).
THIS WORK WAS SUPPORTED BY AGENCIA NACIONAL DE INVESTIGACION E INNOVACION [GRANT NUMBER FSED_2_2016_1_130897].
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2020S1A5C2A04092451).
THIS RESEARCH WAS FUNDED BY THE FLIP2G PROJECT. THIS PROJECT HAS BEEN FUNDED WITH THE SUPPORT OF THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION. THIS PAPER REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
MIRKO MARRAS AND DANILO DESSI GRATEFULLY ACKNOWLEDGE SARDINIA REGIONAL GOVERNMENT FOR THE FINANCIAL SUPPORT OF THEIR PHD SCHOLARSHIP (P.O.R. SARDEGNA F.S.E. OPERATIONAL PROGRAMME OF THE AUTONOMOUS REGION OF SARDINIA, EUROPEAN SOCIAL FUND 2014-2020 AXIS III "EDUCATION AND TRAINING", THEMATIC GOAL 10, PRIORITY OF INVESTMENT 10II, SPECIFIC GOAL 10.5).; THE AUTHORS GRATEFULLY ACKNOWLEDGE FOR THE FINANCIAL SUPPORT: SARDINIA REGIONAL GOVERNMENT (CONVENZIONE TRIENNALE TRA LA FONDAZIONE DI SARDEGNA E GLI ATENEI SARDI REGIONE SARDEGNA L.R. 7/2007 ANNUALITA 2016 DGR 28/21 DEL 17.05.2017, CUP: F72F16003030002) AND ITALIAN MINISTRY OF EDUCATION, UNIVERSITY AND RESEARCH -PROGRAM SMART CITIES AND COMMUNITIES AND SOCIAL INNOVATION PROJECT ILEARNTV (D.D. N.1937 DEL 05.06.2014, CUP F74G14000200008 F19G14000910008).
FIRST AUTHOR THANKS THE PROGRAM CATEDRAS-CONACYT, MEXICO FOR FUNDING HIS RESEARCH. AUTHORS ALSO THANK LUCIA BARRON FOR HER VALUABLE COMMENTARIES FOR IMPROVING THE MANUSCRIPT AND TO L.A. DOMINGUEZ FOR DESIGNING FIG 1A. ICONS EMPLOYED IN FIG. 2 WERE MADE BY FREEPIK, FLAT ICONS, EUCALYP, AND PHOTO3IDEA STUDIO WHICH ARE FREELY AVAILABLE AT WWW.FLATICON.COM.; THIS WORK WAS CO-FOUNDED BY THE MADRID REGIONAL GOVERNMENT, SPAIN THROUGH THE PROJECT E-MADRID-CM (P2018/TCS-4307) AND BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES THROUGH PROJECT SMARTLET (TIN2017-85179-C3-1-R). THESE TWO PROJECTS HAVE ALSO BEEN CO-FOUNDED BY THE STRUCTURAL FUNDS (FSE AND FEDER), SPAIN.
THIS RESEARCH RECEIVED NO EXTERNAL FUNDING. THE APC WAS FUNDED BY UEF.
THIS WORK WAS PARTIALLY SUPPORTED BY THE SMARTLET PROJECT BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES (GRANT NUMBERS TIN2017-85179-C3-1-R, TIN2017-85179-C3-2-R, TIN2017-85179-C3-3-R) FUNDED BY THE AGENCIA ESTATAL DE INVESTIGACION (AEI) AND FONDO EUROPEO DE DESARROLLO REGIONAL (FEDER), AND BY THE THE EMADRID NETWORK (S2013/ICE-2715), FUNDED BY THE MADRID REGIONAL GOVERNMENT.
THIS RESEARCH WAS FUNDED BY NATIONAL RESEARCH FOUNDATION, GRANT NUMBER NRF2013-EDU001-EL019.
ROBERTO MUNOZ, IS PARTIALLY FUNDED BY INF-PUCV 2015 DOCTORAL GRANT. RODOLFO VILLARROEL IS FUNDED BY PUCV 2017 039.440/2017 GRANT. FINALLY, THE AUTHORS WOULD LIKE TO THANK TRAVIS JONES FOR HIS VALUABLE CONTRIBUTIONS TO THE ELABORATION OF THIS PAPER.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2015S1A5B6036244).
NATIONAL NATURE SCIENCE FOUNDATION OF CHINA GRANT, GRANT/AWARD NUMBER: 71701071; SOCIAL SCIENCE YOUTH FOUNDATION OF MINISTRY OF EDUCATION OF CHINA, GRANT/AWARD NUMBER: 17YJC880032
THIS WORK WAS SUPPORTED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION [562080-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD]. THE EUROPEAN COMMISSION SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION WILL NOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. WE WOULD LIKE TO THANK THE PARTICIPANTS WHO PARTICIPATED IN THE STUDY AND CONTRIBUTED THEIR OPINIONS.
THIS RESEARCH IS SUPPORTED BY THE SEED FUNDING FOR INCUBATING GROUP-BASED COLLABORATIVE RESEARCH PROJECTS FROM THE UNIVERSITY OF HONG KONG, UNDER THE COLLABORATIVE RESEARCH FUND FOR THE PROJECT "SUPPORTING SELF-DIRECTED LEARNING IN ONLINE ENVIRONMENT THROUGH KNOWLEDGE VISUALIZATION" (PROJECT NO. 201407170470).; THE SECOND AUTHOR'S CONTRIBUTION IN THIS WORK HAS BEEN PARTIALLY FUNDED BY THE GREEK GENERAL SECRETARIAT FOR RESEARCH AND TECHNOLOGY, UNDER THE MATCHING FUNDS 2014-2016 FOR THE EU PROJECT "INSPIRING SCIENCE: LARGE SCALE EXPERIMENTATION SCENARIOS TO MAINSTREAM ELEARNING IN SCIENCE, MATHEMATICS AND TECHNOLOGY IN PRIMARY AND SECONDARY SCHOOLS" (PROJECT NUMBER: 325123).
PARTS OF THIS WORK HAVE BEEN SUPPORTED BY THE MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES (MCIU), THE AGENCIA ESTATAL DE INVESTIGACION (AEI) AND THE FONDO EUROPEO DE DESARROLLO REGIONAL (FEDER). THE AUTHOR THANKS DR ELOI PUERTA FOR HIS TIME AND ADVICE.
THE FIRST (CORRESPONDING) AUTHOR HELD A W. GARFIELD WESTON FELLOWSHIP AND A WALTER C. SUMNER MEMORIAL FELLOWSHIP. THE AUTHORS WOULD LIKE TO THANK THE CREATORS OF SEVERAL SYSTEMS FOR GIVING US PERMISSION TO USE SCREENSHOTS OF THEIR VISUALIZATIONS: JIM HEWITT, JUDY KAY, TANJA MITROVIC, ERIC DUVAL, JULITA VASSILEVA, AND ZHI-HONG CHEN. TIMOTHY RIAS CREATED THE IMAGE USED TO REPRESENT THE DEPTH VISUAL VARIABLE AND FIG. 4 BUILDS ON THE WORK OF EPOCHFAIL. MOUSE BY AMOS KOFI COMMEY AND DOUGHNUT BY EMA DIMITROVA FROM THE NOUN PROJECT WERE ALSO USED. CARRIE DEMMANS EPP IS THE CORRESPONDING AUTHOR.
THIS RESEARCH WAS FUNDED BY A RESEARCH GRANT FROM THE OFFICE OF EDUCATION RESEARCH, NATIONAL INSTITUTE OF EDUCATION, SINGAPORE TITLED 'DEVELOPING 21ST CENTURY ASSESSMENT AND ENVIRONMENT FOR TEACHERS AND STUDENTS: THE CASE FOR KNOWLEDGE BUILDING PEDAGOGY & TECHNOLOGY.'
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) ``INNOVATION PLATFORM FOR SOCIETY 5.0'' PROGRAM UNDER GRANT JPMXP0518071489.; THIS WORK INVOLVED HUMAN SUBJECTS OR ANIMALS IN ITS RESEARCH. APPROVAL OF ALL ETHICAL AND EXPERIMENTAL PROCEDURES AND PROTOCOLS WAS GRANTED BY THE FACULTY MEETING OF CYBERMEDIA CENTER, OSAKA UNIVERSITY, UNDER APPLICATION NO. 2019-4.
2014 HIGH EDUCATION RESEARCH PROJECT OF SHAANXI UNIVERSITY OF SCIENCE AND TECHNOLOGY, THE WAY OUT FOR UNIVERSITIES OF SHAANXI IN MOOC ERA (NO.XGJ1412); 2015 HIGH EDUCATION RESEARCH PROJECT OF SHAANXI, PROBATION AND PRACTICE OF COLLEGE ENGLISH TEACHING BY USING FLIPPED CLASSROOM IN INTERNET PLUS ERA (NO.78)
PART OF THIS WORK WAS SUPPORTED BY THE JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH 19K1225100 AND 15H02795.
THIS WORK WAS SUPPORTED BY PESCA AND TEXAS A&M UNIVERSITY COLLEGE OF VETERINARY MEDICINE AND BIOMEDICAL SCIENCES PROFESSIONAL PROGRAMS OFFICE, COLLEGE STATION, TX [IRB2016-0318, IRB2011-0777D].
THIS WORK ON LEARNING DESIGN IS A CONTINUED EFFORT BY A LARGE NUMBER OF PEOPLE WITHIN AND OUTSIDE THE OU. WE ARE PARTICULARLY GRATEFUL TO ALL OU STAFF WHO TESTED, MAPPED, AND IMPLEMENTED THE LEARNING DESIGN ACTIVITIES. IN ALPHABETICAL ORDER, WE ARE ETERNALLY GRATEFUL TO ANDREW BRASHER, GRAINNE CONOLE, SIMON CROSS, REBECCA GALLEY, RUTH MCFARLANE, TOM OLNEY, LISETTE TOETENEL, JITSE VAN AMEIJDE, AND MARTIN WELLER. THE WORK BY QUAN NGUYEN WAS FUNDED BY THE LEVERHULME TRUST RESEARCH PROJECT GRANT OPEN WORLD LEARNING.
WE WISH TO THANK THE MEMBERS OF THE LIDA RESEARCH GROUP AT THE DEPARTMENT OF EDUCATION, THE UNIVERSITY OF OSLO FOR THE CONSTRUCTIVE FEEDBACK ON THE PRIMARY DATA THAT INFORMED THIS ARTICLE. SPECIAL THANKS GO TO EMILY OSWALD (UNIVERSITY OF OSLO) FOR USEFUL COMMENTS ON A PREVIOUS VERSION OF THE ARTICLE. WE THANK THE ANONYMOUS REVIEWERS FOR THEIR VALUABLE COMMENTS ON OUR MANUSCRIPT. THE FIRST AUTHOR RECEIVED FINANCIAL SUPPORT BY A PHD FELLOWSHIP FROM THE FACULTY OF EDUCATIONAL SCIENCES, UNIVERSITY OF OSLO.
THIS ARTICLE WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA [GRANT NUMBER 61877003] AND THE INTERNATIONAL JOINT RESEARCH PROJECT OF FACULTY OF EDUCATION OF BEIJING NORMAL UNIVERSITY.
WORK PARTIALLY FUNDED BY THE EUROPEAN COMMUNITY'S SEVENTH FRAMEWORK PROGRAMME ( FP7/ 2007- 2013) UNDER GRANT AGREEMENT NO 231396 ( ROLE PROJECT), THE LEARN3 PROJECT ( TIN2008- 05163/ TSI), THE EMADRID PROJECT ( S2009/ TIC- 1650), AND THE ACCION INTEGRADA DE2009- 0051.
THIS WORK HAS BEEN DEVELOPED IN THE FRAMEWORK "CALL FOR THE CREATION OF INNOVATION GROUPS AND GOOD TEACHING PRACTICES AT THE UNIVERSITY OF ALMERIA. BIENNIUM 2017 AND 2018". IT HAS BEEN SUPPORTED BY THE SPANISH SCIENCE AND TECHNOLOGY COMMISSION (CICYT) UNDER CONTRACT TIN2015-66680 AND THE JUNTA DE ANDALUCIA UNDER CONTRACTS P11-TIC-7176 AND P12-TIC301 IN PART FINANCED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF). G. ORTEGA IS SUPPORTED BY A 'JUAN DE LA CIERVA INCORPORACION' FELLOWSHIP FROM THE SPANISH MINISTRY OF ECONOMY, INDUSTRY, AND COMPETITIVENESS.
THIS RESEARCH WAS SUPPORTED IN JSPS KAKEN-HI, GRANT.NO. JP17K18659, JP18K18657, JP19H01716.
THE PROJECT TEAM WOULD LIKE TO ACKNOWLEDGE THE INNOVATIVE RESEARCH UNIVERSITIES WHO ARE SUPPORTING THIS PROJECT.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304, NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0, JSPS KAKENHI GRANT-IN-AID FOR RESEARCH ACTIVITY START-UP GRANT NUMBER 19K20942, JSPS KAKENHI GRANT-IN-AID FOR EARLY-CAREER SCIENTISTS 20K20131 AND SPIRITS 2020 OF KYOTO UNIVERSITY. WE SINCERELY THANK ALL THE STUDENTS FROM THE SCHOOL IN JAPAN AND UNIVERSITY IN INDIA. ESPECIALLY, WE THANK MR. GO MIYABE, MS. SAKI MARUYAMA, MS. MIZUKI YAMAZAKI, AND DR. VIJAYA NANDHINI KANNAN, THE INSTRUCTORS OF THE COURSES WHO KINDLY PARTICIPATED IN OUR STUDY.
THIS WORK WAS FUNDED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECTS FUTURE LEARNING (NUMBER: 255129/H20). THIS WORK WAS CARRIED OUT DURING THE TENURE OF AN ERCIM (EUROPEAN RESEARCH CONSORTIUM FOR INFORMATICS AND MATHEMATICS) ALAIN BENSOUSSAN FELLOWSHIP PROGRAMME (NUMBER: 2015-07).
THE WORK DESCRIBED IN THIS PAPER WAS PARTIALLY SUPPORTED BY A GRANT FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION, CHINA (UGC/IDS16/15).
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE GOVERNMENT OF IRELAND POST-DOC FELLOWSHIP (GRANT CODE GOIPD/2018/466 OF THE IRISH RESEARCH COUNCIL), THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACION PROGRAM (FJCI-2017-34926), AND THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER (GRANT AGREEMENTS NO.669074).
THIS WORK IS SUPPORTED BY THE FEDERAL MINISTRY FOR ECONOMIC AFFAIRS AND ENERGY (BMWI) IN THE FRAME OF THE CENTRAL INNOVATION PROGRAMME FOR SMES (ZIM). GRAND NO: KF2250116KM3
THE AUTHORS WOULD LIKE TO THANK PLAN CEIBAL AND FUNDACION CEIBAL FOR SUPPORTING THIS STUDY, AS WELL AS GERMAN CAPDEHOURAT AND ENRIQUE LEV FOR THEIR VALUABLE CONTRIBUTIONS.
THIS WORK WAS SUPPORTED IN PART BY THE ALBACETE INFORMATICS RESEARCH INSTITUTE (I3A), IN PART BY THE SPANISH MINISTRY OF THE SCIENCE, AND IN PART BY EDUCATION AND UNIVERSITIES UNDER GRANT RTI2018-098156-B-052. THIS WORK WAS ALSO SUPPORTED BY THE NATIONAL PROJECT RTI2018-098156-B-052 AND THE ERASMUS+ PROJECT 2018-1-TR01-KA201-058963. (CORREVONDING AUTHOR: VICENTE LOPEZ CAMACHO.)
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS RESEARCH WAS SUPPORTED BY FUNDING FROM THE FACULTY OF ARTS AND SOCIAL SCIENCES AT THE UNIVERSITY OF SYDNEY.
THIS RESEARCH WAS SUPPORTED IN PART BY THE DOCTORAL SCHOLARSHIP FROM FONDS DE RECHERCHE DU QU ' EBEC -SOCI ' ET ' E ET CULTURE (FRQSC) AWARDED TO JUAN ZHENG, LINGYUN HUANG AND SHAN LI, GRANTS FROM SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL (SSHRC) PARTNERSHIP GRANT OF CANADA (895-2011-1006) AWARDED TO DR. SUSANNE LAJOIE.
THIS WORK WAS PARTIALLY FUNDED BY UNIVERSIDAD INTERNACIONAL DE LA RIOJA (UNIR, HTTP://WWW.UNIR.NET) THROUGH THE RESEARCH INSTITUTE FOR INNOVATION & TECHNOLOGY IN EDUCATION (UNIR ITED, HTTP://ITED.UNIR.NET) AND THE IBM-UNIR CHAIR ON DATA SCIENCE IN EDUCATION.
NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA, GRANT/AWARD NUMBER: 61907003
THIS RESEARCH HAS BEEN CO-FUNDED BY THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES AND THE STRUCTURAL FUNDS (FSE AND FEDER) UNDER PROJECT GRANTS RED2018-102725-T, TIN2017-85179-C3-1-R, TIN2017-85179-C3-2-R, TIN2017-85179-C3-3-R AND TIN2016-80172-R; BY FEDER/CASTILLE AND LEON REGIONAL GOVERNMENT GRANT VA257P18; BY THE BASQUE GOVERNMENT UNDER GRANT NUMBER IT980-16 AND BY THE CATALAN GOVERNMENT UNDER GRANT NUMBER 2017SGR1619. THIS WORK HAS BEEN CO-FUNDED BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE PROJECT E-MADRID-CM (S2018/TCS-4307), THE E-MADRID-CM PROJECT IS ALSO CO-FINANCED BY THE STRUCTURAL FUNDS (FSE AND FEDER). D. HERNANDEZ-LEO ACKNOWLEDGES THE SUPPORT BY ICREA UNDER THE ICREA ACADEMIA PROGRAMME.
THE RESEARCH OF EY WAS PARTIALLY SUPPORTED BY THE ISRAELI COUNCIL FOR HIGHER EDUCATION (CHE) VIA THE WEIZMANN DATA SCIENCE RESEARCH CENTER. THE WORK OF GA IS ALSO SUPPORTED BY THE WILLNER FAMILY LEADERSHIP INSTITUTE FOR THE WEIZMANN INSTITUTE OF SCIENCE.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THE DATA OF THE RESEARCH WAS COLLECTED AS PART OF THE PROJECT OPEKEREFORM OF VOCATIONAL TEACHER EDUCATION FUNDED BY THE MINISTRY OF EDUCATION AND CULTURE, FINLAND.
THIS WORK HAS BEEN SUPPORTED BY RESEARCH GRANTS IPT- 20111558- 430000 ( MCLOUD) FUNDED BY THE SPANISH MINISTERIO DE CIENCIA E INNOVACIN.
THIS WORK WAS SUPPORTED BY JST AIP GRANT NUMBER JPMJCR19U1, AND JSPS KAKENHI GRAND NUMBER JP18H04125, JAPAN.
THIS RESEARCH WAS SUPPORTED BY THE LEVERHULME TRUST-OPEN WORLD LEARNING.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (GRANT NO. 1535300). WE WOULD LIKE TO THANK PRESTON REED, KELSEY HOLLIS LAYOS, AND BRIANDYWALDEN FOR THEIR HELP ACQUIRING PROJECT DATA. WE ALSO THANK PADHRAIC SMYTH FOR HIS GUIDANCE DURING THE DEVELOPMENT OF THIS PAPER.
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20).
SUPPORT FOR THIS PUBLICATION HAS BEEN PROVIDED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING. THE VIEWS EXPRESSED IN THIS PAPER DO NOT NECESSARILY REFLECT THE VIEWS OF THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING.
THIS WORK WAS SUPPORTED IN PART BY THE PRESIDENTIAL GAR INITIATIVE PROGRAM FOR THE FISCAL YEARS 2020-2021 AND 2021-2022, AND IN PART BY THE FACULTY RESEARCH ENHANCEMENT PROGRAM (FREP), TEXAS A&M UNIVERSITY-COMMERCE.
THIS WORK IS CARRIED OUT UNDER THE SMARTCU AND COVENANT UNIVERSITY DATA ANALYTICS CENTER (CUDAC) RESEARCH CLUSTERS. THIS RESEARCH IS FULLY SPONSORED BY COVENANT UNIVERSITY CENTRE FOR RESEARCH, INNOVATION AND DEVELOPMENT (CUCRID), COVENANT UNIVERSITY, OTA, NIGERIA.
THIS PROJECT WAS MADE POSSIBLE IN PART BY THE INSTITUTE OF MUSEUM AND LIBRARY SERVICES (LG-96-18-0044-18). THE VIEWS, FINDINGS, CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS CONFERENCE PROCEEDING DO NOT NECESSARILY REPRESENT THOSE OF THE INSTITUTE OF MUSEUM AND LIBRARY SERVICES. THE TEAM WOULD LIKE TO THANK AUBREE TILLETT, A RESEARCH ASSISTANT FROM THE UNIVERSITY OF WISCONSIN-MILWAUKEE, FOR HER SUPPORT AND MAURA SMALE AND MARIANA REGALDO FOR THEIR INPUT.
THIS RESEARCH HAS BEEN CARRIED OUT WITH THE SUPPORT OF A DOCTORAL GRANT FROM THE UNIVERSITAT OBERTA DE CATALUNYA (UOC).
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2018/TCS-4307, COFUNDED BY THE EUROPEAN STRUCTURAL FUNDS FSE AND FEDER), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), AND BY THE EUROPEAN COMMISSION (ERASMUS+ IMPRESS 2017-1-NL01KA203-035259).
THIS WORK WAS SUPPORTED BY CORFO 14ENI2-26905 NUEVA INGENIERIA PARA EL 2030-PONTICIA UNIVERSIDAD CATOLICA DE VALPARAISO, CHILE.
THIS RESEARCH HAS BEEN PARTIALLY SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION OF THE UNITED STATES (AWARD #1935450), THE MIT-SPAIN "LA CAIXA" FOUNDATION SEED FUND, AND THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACION PROGRAM (FJCI-2017-34926), AND THE RESEARCH AND DEVELOPMENT CONTRACT LAGA (LEARNING ANALYTICS AND GAMEBASED ASSESSMENT).
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2015S1A5B6036244).
THIS ARTICLE HAD RECEIVED FUNDING FROM THE HORIZON 2020 RESEARCH AND INNOVATION PROGRAM ERASMUS+ (KA203-2019-002).
WE GRATEFULLY ACKNOWLEDGE GRANT SUPPORT FROM NSF IIS-1522990, AND SANGEETA BHATNAGAR FOR HER SUPPORT IN CONDUCTING CLASSROOM RESEARCH.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), BY THE MINISTRY OF EDUCATION (TIN2013-46149-C2-1-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676).
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION, THROUGH GRANTS 1719744, 1620851, 1621238, AND 1620863.
THIS WORK WAS SUPPORTED IN PART BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER UNDER GRANT 669074, IN PART BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL COUNCIL OF EDUCATION OF CASTILLA Y LEON UNDER GRANT VA257P18, IN PART BY THE ERDF, AND IN PART BY THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES, UNDER PROJECT TIN2017-85179-C3-2-R.
WE ARE GRATEFUL FOR THE SUPPORT AND FACILITIES PROVIDED BY THE E-LEARNING RESEARCH LAB AND AMRITA VISHWA VIDYAPEETHAM UNIVERSITY
THIS WORK WAS SUPPORTED BY CNPQ (BRAZILIAN NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT) [EDITAL UNIVERSAL, PROC.404369/2016-2][DT-2 PRODUCTIVITY IN TECHNOLOGICAL DEVELOPMENT AND INNOVATIVE EXTENSION SCHOLARSHIP, PROC.315445/2018-1]. R.V. AND R.M. WERE FUNDED BY CORPORACION DE FOMENTO DE LA PRODUCCION (CORFO) 14ENI2-26905 "NUEVA INGENIERIA PARA EL 2030"-PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO, CHILE.
THIS WORK WAS SUPPORTED IN PART BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION, PROJECTS MOOC MAKER (561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP), SHEILA (562080-EPP-12015-BE-EPPKA3-PI-FORWARD), AND LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE EMADRID EXCELLENCE NETWORK (S2013/ICE-2715); IN PART BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES, PROJECTS RE-SET (TIN2014-53199-C3-1-R), SNOLA (TIN2015-71669-REDT), AND SMARTLET (TIN2017-85179-C3-1-R); IN PART BY THE STATE RESEARCH AGENCY IN SPAIN (AEI) AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER); AND IN PART BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION, AND UNIVERSITIES, UNDER AN FPU FELLOWSHIP (FPU016/00526).
THE FIRST AUTHOR RECEIVED FINANCIAL SUPPORT BY A PHD FELLOWSHIP FROM THE FACULTY OF EDUCATIONAL SCIENCES, UNIVERSITY OF OSLO, NORWAY.
AUTHORS WANT TO ACKNOWLEDGE SUPPORT FROM PROF-XXI PROJECT (609767-EPP-1-ES-EPPKA2-CBHE-JP), THE EUROPEAN COMMISSION AND THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACION PROGRAM (FJCI-2017-34926). THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSIONAND THE AGENCY CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NO. 669074 AND 731685), AND THROUGH THE ERASMUS + PROGRAM (588438-EPP-1-2017-1-EL-EPPKA2-KA, 562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD, 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP, AND 2017-1-NL01-KA203035288). IT HAS ALSO BEEN PARTIALLY FUNDED BY THE SPANISH STATE RESEARCH AGENCY (AEI) AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (TIN2014-53199-C3-2-R AND TIN2017-85179-C3-2-R), THE REGIONAL GOVERNMENT OF CASTILLA Y LEON AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (VA082U16), THE SPANISH MINISTRY OF SCIENCE AND EDUCATION (PRX17/00410), THE FACULTY OF EDUCATION AT MONASH UNIVERSITY, AND THE UNIVERSITY OF VALLADOLID (UVA).
THE VIEWS EXPRESSED IN THIS PAPER ARE THE AUTHOR'S AND DO NOT NECESSARILY REPRESENT THE VIEWS OF THE HOST INSTITUTION. APPRECIATION GOES TO THE TEACHERS AND STUDENT PARTICIPANTS INVOLVED IN THIS STUDY AND THE USE OF DATA FROM THE PROJECT (NRF2012-EDU001-EL008).
THIS WORK WAS PARTLY SUPPORTED BY HACETTEPE UNIVERSITY SCIENTIFIC RESEARCH PROJECTS COORDINATION CENTER AS SHD-201715640 PROJECT ID.
THE E-UCM RESEARCH GROUP HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), BY THE MINISTRY OF EDUCATION (TIN2013-46149-C2-1-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676). THE CEIEC INSTITUTE HAS BEEN PARTIALLY FUNDED BY THE FRANCISCO DE VITORIA UNIVERSITY (UFV-2015-05).
THIS WORK WAS PARTIALLY SUPPORTED BY BRAZILIAN NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT (CNPQ) [PROC.404369/2016-2][PROC.315445/2018-1].
THE RESEARCH IS SUPPORTED BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF THE NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN; GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) NO. 16H06304 AND THE EDUCATION ENHANCEMENT PROGRAM (EEP) OF KYUSHU UNIVERSITY.
THE RESEARCH HAS BEEN PARTLY SUPPORTED BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF THE NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN; AND GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) NO. 16H06304; GRANT-IN-AID FOR SCIENTIFIC RESEARCH (B) NO. 25282059; GRANT-IN-AID FOR CHALLENGING EXPLORATORY RESEARCH NO. 26560122 FROM MEXT, JAPAN.
THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT NO. 713673. MILICA VUJOVIC HAS RECEIVED FINANCIAL SUPPORT THROUGH THE "LA CAIXA" INPHINIT FELLOWSHIP GRANT FOR DOCTORAL STUDIES AT SPANISH RESEARCH CENTRES OF EXCELLENCE, "LA CAIXA" BANKING FOUNDATION, BARCELONA, SPAIN. THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES MDM-20150502, TIN2014-53199-C3-3-R, TIN2017-85179-C3-3-R.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (#410-2011-072, #435-2016-0379) AND SIMON FRASER UNIVERSITY.
THE VITAL PROJECT HAS BEEN FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION [PROJECT NUMBER 2015-BE02-KA203-012 317].
THE WORK WAS SUPPORTED BY THE UNIVERSITY OF LAGOS AND COVENANT UNIVERSITY CENTRE FOR RESEARCH, INNOVATION AND DEVELOPMENT (CUCRID).
THE WORK IN THIS PAPER WAS SUPPORTED BY FONDECYT GRANT NO. 1131109.
THIS WORK HAS BEEN CO-FUNDED BY THE EU UNDER THE FP7, IN THE GAMES AND LEARNING ALLIANCE (GALA) NETWORK OF EXCELLENCE, GRANT AGREEMENT NR. 258169.
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE ACADEMY OF FINLAND PROFILING PROJECT HUMAN MIND IN CHANGING WORLD (GOVERNMENT AGENCY).
THIS RESEARCH PROJECT IS SUPPORTED BY THE EUROPEAN COMMISSION ERASMUS+ PROGRAM IN THE FRAMEWORK OF THE PROJECT IDERBLOG UNDER GRANT VG-SPS-SL-14-001616-3. FOR MORE INFORMATION ABOUT THE PROJECT IDERBLOG AND ITS PROJECT PARTNERS: FROM GERMANY: GROS, M., ADOLPH, H., STEINHAUER, N. (LPM SAARLAND<SUP>1</SUP>); BIERMEIER, S., ANKNER, L. (ALBERT-WEISGERBER-SCHULE, ST. INGBERT<SUP>2</SUP>); FROM BELGIUM: HUPPERTZ, A., CORMANN, M. (GS RAEREN<SUP>3</SUP>); FROM AUSTRIA: EBNER, M., TARAGHI, B., EBNER, M. (TU GRAZ<SUP>4</SUP>); GABRIEL, S., WINTSCHNIG, M. (KPH WIEN/KREMS<SUP>5</SUP>); ASPALTER, CH., MARTICH, S., ULLMANN, M. (PH WIEN<SUP>6</SUP>); EDTSTADLER, K. (PH STEIERMARK<SUP>7</SUP>, BEFORE: KPH WIEN/KREMS), PLEASE VISIT OUR HOMEPAGE HTTP://IDERBLOG.EU/ (GERMAN LANGUAGE ONLY).
THIS STUDY IS SUPPORTED BY THE MOE (MINISTRY OF EDUCATION IN CHINA) YOUTH FUND PROJECT OF HUMANITIES AND SOCIAL SCIENCES (PROJECT NO. 17YJC880125).
MIRKO MARRAS GRATEFULLY ACKNOWLEDGES SARDINIA REGIONAL GOVERNMENT FOR THE FINANCIAL SUPPORT OF HIS PHD SCHOLARSHIP (P.O.R. SARDEGNA F.S.E. OPERATIONAL PROGRAMME OF THE AUTONOMOUS REGION OF SARDINIA, EUROPEAN SOCIAL FUND 2014-2020 - AXIS III "EDUCATION AND TRAINING", THEMATIC GOAL 10, PRIORITY OF INVESTMENT 10II, SPECIFIC GOAL 10.5).
THIS WORK WAS SUPPORTED BY A BELGIAN SCIENTIFIC ORGANIZATION (FWO) GRANT (V4.533.15N) FOR INTERNATIONAL RESEARCH COLLABORATION, INTERNAL FUNDS OF KU LEUVEN - PROFEELEARN PDM/16/044, JUMO MOBILITY GRANT, AND WAS CARRIED OUT IN COLLABORATION WITH THE SLAM PROJECT, FUNDED BY THE ACADEMY OF FINLAND. THE RESEARCH WAS CONDUCTED AT KU LEUVEN, OULU UNIVERSITY, AND OPEN UNIVERSITY OF THE NETHERLANDS.
THIS WORK WAS FUNDED IN PART BY AN ASSOCIATION OF LIBRARY AND INFORMATION SCIENCE EDUCATION (ALISE) RESEARCH GRANT. THE AUTHOR APPRECIATES THE SUPPORT HIS RESEARCH ASSISTANT, MEREDITH KOSTEK, PROVIDED DURING THE FINAL STAGES OF THIS PROJECT. THE ANONYMOUS PEER REVIEWERS PROVIDED CONSTRUCTIVE COMMENTS AND ENTHUSIASM FOR THE RESEARCH, WHICH THE AUTHOR APPRECIATES. CONVERSATIONS AND SPIRITED DEBATES WITH ANDREW ASHER, KRISTIN BRINEY, ABIGAIL GOBEN, MICHAEL PERRY, AND DOROTHEA SALO INFORMED THE AUTHOR'S THINKING AS HE WROTE ASPECTS OF THIS ARTICLE, BUT IT DOES NOT NECESSARILY REFLECT THEIR VIEWS. FINALLY, THE AUTHOR THANKS THE RESEARCH PARTICIPANTS WHO VOLUNTEERED THEIR TIME TO TAKE PART IN THIS STUDY AND IN THE MEMBER CHECKING PROCESS.
THIS STUDY WAS FUNDED BY UTRECHT UNIVERSITY INCENTIVE FUND FOR EDUCATION (UTRECHTS STIMULERINGSFONDS ONDERWIJS). THE AUTHORS DECLARE THAT THEY HAVE NO CONFLICT OF INTEREST.
THE PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT IN-AID FOR SCIENTIFIC RESEARCH NO. 16H06304 AND NO. 17K12947 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
PART OF THIS WORK HAS BEEN SUPPORTED BY THE RESEARCH FOUNDATION FLANDERS (FWO) [GRANT AGREEMENT NO. G0C9515N] AND THE KU LEUVEN RESEARCH COUNCIL [GRANT AGREEMENT NO. STG/14/019].
SUPPORT FOR THIS PUBLICATION/ACTIVITY HAS BEEN PROVIDED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING, UNDER THE GRANT NUMBER SP16-5264. THE VIEWS EXPRESSED IN THIS PUBLICATION/ACTIVITY DO NOT NECESSARILY REFLECT THE VIEWS OF THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING. CORRESPONDENCE CONCERNING THIS ARTICLE SHOULD BE ADDRESSED TO LISA-ANGELIQUE LIM, SCHOOL OF EDUCATION, UNIVERSITY OF SOUTH AUSTRALIA.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES (NIGMS) OF THE NATIONAL INSTITUTES OF HEALTH UNDER AWARD NUMBER 1R01GM115440-01A1.
AV ACKNOWLEDGES THE DOCTORAL SCHOLARSHIP SUPPORTED BY CNPQ/CAPES -PROGRAMA CIENCIA SEM FRONTEIRAS - CSF (6392-13-0) AND AUTHORIZED RETIREMENT BY UDESC (688/13). WE ALSO WANT TO THANK THE STUDENTS THAT PLAYED THE GAME AND THEIR TEACHERS THAT ALLOWED US TO TRY IT WITH THEM.
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE ERASMUS+ PROGRAMME, KEY ACTION 2 STRATEGIC PARTNERSHIPS, OF THE EUROPEAN UNION UNDER GRANT AGREEMENT 2015-1-UK01-KA203-013767 ABLE PROJECT.
THE AUTHOR WOULD LIKE TO ACKNOWLEDGE HER THESIS ADVISOR DR. DINESH BABU JAYAGOPI FOR THE SUPPORT. THE AUTHOR IS ALSO GRATEFUL TO THE STUDENTS WHO ENTHUSIASTICALLY PARTICIPATED IN THE DATA COLLECTION. THE WORK IS SUPPORTED BY VISVESVARAYA PHD SCHEME, MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY (MEITY), GOVERNMENT OF INDIA.
THIS WORK WAS SUPPORTED BY JUNIOR RESEARCH PROJECT BY CZECH SCIENCE FOUNDATION GACR NO. GJ18-04150Y.
THE RESEARCH REPORTED HERE WAS FUNDED BY THE PROJECT "AN INNOVATIVE SOFTWARE PLATFORM FOR BIG DATA LEARNING AND GAMING ANALYTICS FOR A USER-CENTRIC ADAPTATION OF TECHNOLOGY ENHANCED LEARNING (APTITUDE)" -RESEARCH PROJECTS ON THE SOCIETAL CHALLENGES -2018 BY BULGARIAN NATIONAL SCIENCE FUND WITH CONTRACT.: KP-06OPR/1 FROM 13.12.2018.
THIS WORK WAS SUPPORTED BY THE ERASMUS + PROGRAMME OF THE EUROPEAN UNION [586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP].
THIS WORK IS SUPPORTED BY CHONGQING SOCIAL SCIENCE PLANNING FUND PROGRAM UNDER GRANT NO. 2014BS123, FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES UNDER GRANT NO. SWU114005, XDJK2017C024, XDJK2017D064, CQU903005203326, AND NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61502397), AND THE SCIENTIFIC RESEARCH FOUNDATION FOR THE RETURNED OVERSEAS CHINESE SCHOLARS, STATE EDUCATION MINISTRY, AND THE RESEARCH PROGRAM FUNDS OF FACULTY OF EDUCATION, AT SOUTHWEST UNIVERSITY (LEARNING TECHNOLOGY ASSISTED WRITING RESEARCH PROJECT).
THIS RESEARCH WAS FUNDED BY SPANISH NATIONAL RESEARCH AGENCY (AEI), THROUGH THE PROJECT VISAIGLE (TIN2017-85797-R) WITH ERDF FUNDS.
THE CURRENT PAPER WAS FUNDED BY THE PUBART PROGRAM TO SUPPORT THE PUBLICATION OF SCIENTIFIC ARTICLES AND COMMUNICATIONS.
THIS RESEARCH IS PARTIALLY SUPPORTED BY THE MINISTRY OF EDUCATION, TAIWAN. THANKS TO PROF. DON-LIN YANG AND THE OPENEDU TEAM WHO DEVELOP THE SYSTEM AND PROVIDE THE OPEN DATA. THIS RESEARCH IS PARTIALLY SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN, UNDER GRANT NO. MOST 109-2511-H-035-001-MY2 AND THE MINISTRY OF EDUCATION, TAIWAN, UNDER GRANT NO. PED1090599.
MINISTERIO DE CIENCIA E INNOVACION, GRANT/AWARD NUMBER: TIN2017-83445-P
THANKS TO THE COMPLEX PLAY LAB FOR HELPING REFINE THIS WORK. THIS WORK WAS SUPPORTED BY NATIONAL SCIENCE FOUNDATION GRANT NO. 1331655. THE OPINIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REPRESENT THOSE OF THE NSF.
THIS WORK WAS PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2018/TCS4307, CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS FSE AND FEDER), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259).
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676, ERASMUS + IMPRESS 2017-1-NL01-KA203-035259).
THIS WORK WAS SUPPORTED BY THE ERASMUS + PROGRAMME OF THE EUROPEAN UNION [562080-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD]. THE EUROPEAN COMMISSION'S SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS, WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION WILL NOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. THE PROJECT INVOLVED COLLABORATIVE INPUT FROM ALL THE PARTNERS INVOLVED AND THEIR CONTRIBUTIONS ARE HIGHLY APPRECIATED. WE WOULD ALSO LIKE TO GIVE THANKS TO OUR RESEARCH PARTICIPANTS FOR THEIR VALUABLE CONTRIBUTIONS.
THIS RESEARCH WAS FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P 'ICT-FLAG' (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION).
PARTLY FUNDED BY TIN2015-71618-R (MINECO/FEDER)
THE AUTHORS GRATEFULLY ACKNOWLEDGE THE SUPPORT OF THE EUROPEAN COMMISSION TROUGH THE LALA (CAPACITY TO USE LEARNING ANALYTICS TO IMPROVE HE IN LATIN AMERICA) PROJECT ERASMUS+ CAPACITY BUILDING PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THE EUROPEAN COMMISSION SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS WHICH REFLECTS THE VIEWS OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS STUDY WAS SUPPORTED BY THE FINNISH ACADEMY GRANT 275440.
THIS WORK WAS SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION OF KOREA(NRF) GRANT FUNDED BY THE KOREA GOVERNMENT(MINISTRY OF S CIENCE, ICT & FUTURE PLANNING) (NO.2017RA2B1012909).
OUR THANKS TO COLLEAGUES AND STUDENTS FOR THEIR INVOLVEMENT IN THIS RESEARCH. THE EMPIRICAL WORK REPORT DRAWS ON PRIOR WORK AS NOTED, ALONGSIDE THE PHD THESES OF ANTONETTE SHIBANI (WITHIN THE SECTION "DISCIPLINARY ACADEMIC WRITING CONTEXTS: LAW & ACCOUNTING", INCLUDING REPRODUCTION OF FIGURES), AND SOPHIE ABEL (SECTION HIGHER DEGREE BY RESEARCH CONTEXT). PARTS OF THE WORK WERE SUPPORTED BY GRANTS FROM THE AUSTRALIAN TECHNOLOGY NETWORK (ATN) AND UTS TEACHING AND LEARNING GRANTS WITH THE SUPPORT OF DVC-EDUCATION PROFESSOR SHIRLEY ALEXANDER.
THIS WORK WAS PARTIALLY SUPPORTED BY BRAZILIAN NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT (CNPQ) [PROC.315445/2018-1].
THIS STUDY WAS FULLY SUPPORTED BY THE START-UP RESEARCH GRANT (RG 54/2017-2018R) AND THE INTERNAL RESEARCH GRANT (RG 63/17-18R) OF THE EDUCATION UNIVERSITY OF HONG KONG, AND THE DEAN'S RESERVE-FUNDED LEARNING AND TEACHING PROJECT (75.8ACD), THE HONG KONG POLYTECHNIC UNIVERSITY.
THIS PROJECT WAS FUNDED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING. THE VIEWS EXPRESSED IN THIS PUBLICATION DO NOT NECESSARILY REPRESENT THOSE OF THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING.
THIS PART OF THIS RESEARCH WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 16H06304, NO. 25282059, NO. 26560122, NO. 25540091, NO. 16J05548 AND NO. 26350319 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN. THE RESEARCH RESULTS HAVE BEEN PARTLY ACHIEVED BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN.
THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER THE MARIE SKODOWSKA-CURIE GRANT AGREEMENT NO. 713673. M. VUJOVIC HAS RECEIVED FINANCIAL SUPPORT THROUGH THE "LA CAIXA" INPHINIT FELLOWSHIP GRANT FOR DOCTORAL STUDIES AT SPANISH RESEARCH CENTRES OF EXCELLENCE, "LA CAIXA" BANKING FOUNDATION, BARCELONA, SPAIN. D. HERNANDEZ-LEO ACKNOWLEDGES THE FINANCIAL SUPPORT FROM ICREA UNDER THE ICREA ACADEMIA PROGRAMME. THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES MDM-2015-0502, TIN2017-85179-C3-3-R.
THIS WORK WAS CONDUCTED WITHIN THE DELTA-NTU CORPORATE LAB FOR CYBER-PHYSICAL SYSTEMS WITH FUNDING SUPPORT FROM DELTA ELECTRONICS INC. AND THE NATIONAL RESEARCH FOUNDATION (NRF) SINGAPORE UNDER THE CORPLAB@UNIVERSITYSCHEME.(CORRESPONDING AUTHOR: ANDY W. H. KHONG.)
THIS RESEARCH IS PARTIALLY SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN, UNDER GRANT NO. MOST 105-2511-S-006-015-MY2 AND MOST-105-2511-S-035-006. THANKS TO DR. NIEN-LIN HSUEH AND OPENEDU TEAM WHO DEVELOP THE SYSTEM AND PROVIDE THE OPEN DATA.
THE UNDERLYING PROJECT TO THIS ARTICLE IS FUNDED BY THE FEDERAL OFFICE OF BUNDESWEHR EQUIPMENT, INFORMATION TECHNOLOGY AND IN-SERVICE SUPPORT UNDER PROMOTIONAL REFERENCES. THE AUTHORS ARE RESPONSIBLE FOR THE CONTENT OF THIS ARTICLE.
THE AUTHORS THANK SA'AR JAMES KARP GERSHON FOR STATISTICAL CONSULTATION. THE ISRAELI MINISTRY OF SCIENCE AND TECHNOLOGY SUPPORTED THE RESEARCH OF GA AND AB UNDER PROJECT NO. 3-15607.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION, UNDER GRANT IIS-1522990.
THE CONTENTS OF THIS ARTICLE WERE DEVELOPED UNDER A GRANT FROM THE U.S. DEPARTMENT OF EDUCATION. HOWEVER, THOSE CONTENTS DO NOT NECESSARILY REPRESENT THE POLICY OF THE DEPARTMENT OF EDUCATION, AND YOU SHOULD NOT ASSUME ENDORSEMENT BY THE FEDERAL GOVERNMENT. [PR/AWARD NO. U295A150003, CFDA NO. 84.295A].
THIS WORK WAS PARTIALLY FUNDED BY AFEL (H2020-ICT-2015 687916). KNOW-CENTER GMBH IS FUNDED WITHIN THE AUSTRIAN COMET PROGRAM UNDER THE AUSPICES OF THE AUSTRIAN FEDERAL MINISTRY OF TRANSPORT, INNOVATION AND TECHNOLOGY, THE AUSTRIAN FEDERAL MINISTRY OF ECONOMY, FAMILY AND YOUTH AND BY THE STATE OF STYRIA. COMET IS MANAGED BY THE AUSTRIAN RESEARCH PROMOTION AGENCY (FFG).
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 15K00498.
THIS WORK WAS SUPPORTED BY THE SPANISH MINISTRY FOR ECONOMY AND COMPETITIVENESS (GRANT TIN2014-56633-C3-1-R) AND BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF/FEDER) AND THE GALICIAN MINISTRY OF EDUCATION (GRANTS GRC2014/030 AND CN2012/151). A. RAMOS-SOTO IS SUPPORTED BY THE SPANISH MINISTRY FOR ECONOMY AND COMPETITIVENESS (FPI FELLOWSHIP PROGRAM) UNDER GRANT BES-2012-051878.
THE RESEARCH IS PARTIALLY SUPPORTED BY THE NATIONAL SCIENTIFIC PROGRAM "INFORMATION AND COMMUNICATION TECHNOLOGIES IN SCIENCE, EDUCATION AND SECURITY" (ICT IN SES) FINANCED BY THE MINISTRY OF EDUCATION AND SCIENCE.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2019S1A5A2A03052192).
THE AUTHORS WOULD LIKE TO THANK THE INNOVATIVE RESEARCH UNIVERSITIES, THE MALAYSIAN RESEARCH UNIVERSITIES NETWORK, UNIVERSITI TEKNOLOGI MALAYSIA (UTM) AND MINISTRY OF HIGHER EDUCATION (MOHE) MALAYSIA, FOR THEIR SUPPORT IN MAKING THIS PROJECT POSSIBLE. THIS WORK WAS SUPPORTED BY THE MATCHING RESEARCH UNIVERSITY GRANT (Q.J130000.3010.00M68) INITIATED BY UTM AND MOHE.
THIS WORK WAS PARTIALLY SUPPORTED BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES (MCIU), THE SPANISH STATE RESEARCH AGENCY (AEI) AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) UNDER PROJECT RTI2018-095820-B-I00 AND THE PROJECTS UV-SFPIE-PID19-1098335, UV-SFPIE-PID19-1095187.
THIS WORK IS SUPPORTED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER THE R&D PROJECT SEMOLA (TEC2015-68284-R).
FUNDING WAS PROVIDED BY THE ROYAL COLLEGE OF PHYSICIANS AND SURGEONS OF CANADA, THE UNIVERSITY OF TORONTO, AND THE HOSPITAL FOR SICK CHILDREN.
THE ICOMPASS PROJECT IS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY GRANT NUMBER 246765/H20. WE THANK THE SOTRA FIRE AND RESCUE SERVICE AND ENOVATE AS.
THIS RESEARCH WAS SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY IN TAIWAN THROUGH GRANT NO. MOST 105-2511-S-009-013-MY5. THE AUTHORS WOULD LIKE TO THANK THE STUDENTS WHO PARTICIPATED IN THIS STUDY AND HUEI-TSE HOU, CHAO-HSIU CHEN, YU-YAN LIN, AND ALL OF THE REVIEWERS FOR THEIR USEFUL COMMENTS.
THIS WORK IS FUNDED WITH THE SUPPORT OF THE EUROPEAN COMMISSION UNDER THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
RESEARCH REPORTED IN THIS PUBLICATION WAS SUPPORTED AND FUNDED BY UNIVERSIDAD POLITECNICA DE MADRID UNDER THE "AYUDAS A LA INNOVACION EDUCATIVA Y A LA MEJORA DE LA CALIDAD DE LA ENSERIANZA" PROGRAM, WITH GRANT NUMBER 1E1819.0904.
THE AUTHORS ACKNOWLEDGE THE FINANCIAL SUPPORT BY THE BADEN-WURTTEMBERG MINISTRY OF SCIENCE, RESEARCH AND THE ARTS (MWK, PROJECT REFERENCE MOBILELA).
THE LEARNING PULSE PROJECT WAS PARTIALLY FUNDED BY THE LEARNING ANALYTICS COMMUNITY EXCHANGE (LACE) PROJECT (GRANT NO. 619424).
OPEN ACCESS FUNDING PROVIDED BY PROJEKT DEAL. THE SOFTWARE DEVELOPMENT AND THE USABILITY STUDY WERE FUNDED BY THE YOUNG SCHOLAR FUND OF THE UNIVERSITY OF KONSTANZ (PROJECT-ID: P83949718 FP 497/18 KARNER). THE AUTHORS WOULD LIKE TO THANK JIMMY WARWAS, LENNART BRUNNER AND THOMAS EIDLOTH-TIEMANN FROM THE WARPTEC SOFTWARE GMBH (BAMBERG, GERMANY) FOR THE PROFESSIONAL CODING OF THE SOFTWARE. FURTHER, THE AUTHORS WOULD LIKE TO THANK THE ANONYMOUS REVIEWERS FOR THEIR CRITICAL, BUT VERY HELPFUL AND CONSTRUCTIVE COMMENTS AND SUGGESTIONS.
THIS RESEARCH, CARRIED OUT WITHIN THE SCOPE OF THE SAMSUNG-UFAM PROJECT FOR EDUCATION AND RESEARCH (SUPER), ACCORDING TO ARTICLE 48 OF DECREE NO 6.008/2006 (SUFRAMA), WAS FUNDED BY SAMSUNG ELECTRONICS OF AMAZONIA LTDA, UNDER THE TERMS OF FEDERAL LAW NO 8.387/1991, THROUGH AGREEMENT 001/2020, SIGNED WITH FEDERAL UNIVERSITY OF AMAZONAS AND FAEPI, BRAZIL.
THIS WORK WAS SUPPORTED IN PART BY THE ESCUELA SUPERIOR POLITECNICA DEL LITORAL AND IN PART BY THE SECRETARIAT OF HIGHER EDUCATION, SCIENCE, TECHNOLOGY, AND INNOVATION THROUGH THE ANDAMIOS PROJECT UNDER GRANT PF-14ESPOL-ANDAMIOS-002.
THIS RESEARCH WAS SUPPORTED BY SCIENCE FOUNDATION IRELAND UNDER GRANT NUMBER SFI/12/RC/2289, AND BY DUBLIN CITY UNIVERSITY.
THIS WORK WAS SUPPORTED BY THE NEDERLANDSE ORGANISATIE VOOR WETENSCHAPPELIJK ONDERZOEK [GRANT NUMBER 405-14-516].
THIS RESEARCH WAS PARTIALLY FUNDED BY EU GRANTS 669074, 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP, AND SPANISH PROJECTS TIN2017-85179-C3-1-R, TIN2017-85179-C3-2-R, TIN2017-85179-C3-3-R, VA257P18.
THIS WORK WAS SUPPORTED IN PART BY MADRID REGIONAL GOVERNMENT THROUGH THE PROJECT E-MADRID-CM UNDER GRANT S2018/TCS-4307 THROUGH THE EUROPEAN STRUCTURAL AND INVESTMENT FUNDS, NAMELY THE EUROPEAN SOCIAL FUND (FSE) AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER).
THIS PAPER WAS SUPPORTED BY THE RESEARCH AUTHORITY FOUNDATION, THE OPEN UNIVERSITY OF ISRAEL.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION AND CULTURE [GRANT NUMBER OKM/272/523/2017].
THIS RESEARCH IS CO-FUNDED BY THE ERASMUS+ PROGRAM OF THE EUROPEAN UNION (562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD).
THIS STUDY WAS FUNDED BY THE KEY RESEARCH PROJECT OF EDUCATION SUPPORTED BY NATIONAL SOCIAL SCIENCE FOUNDATION OF CHINA, ACA170010.
OPEN ACCESS FUNDING PROVIDED BY UNIVERSITY OF EASTERN FINLAND (UEF) INCLUDING KUOPIO UNIVERSITY HOSPITAL.
THIS WORK WAS SUPPORTED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER THE PROJECTS TIN2014-56633-C3-1-R AND TIN2015-73566-JIN AND BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF/FEDER) UNDER THE PROJECT CN2012/151 OF THE GALICIAN MINISTRY OF EDUCATION. IN ADDITION, IT WAS SUPPORTED BY INSTITUTO NACIONAL DE CIENCIA E TECNOLOGIA PARA ENGENHARIA DE SOFTWARE (INES) WITH FINANCIAL SUPPORT OF CNPQ UNDER THE PROJECT 465614/2014-0.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE ITALIAN P.R.I.N. E-LEARNING PROJECT PHRAME-PHRASEOLOGICAL COMPLEXITY MEASURES
THIS WORK WAS SUPPORTED IN PART BY THE INNOVATION CENTER FOR BIG DATA AND DIGITAL CONVERGENCE, YUAN ZE UNIVERSITY, TAOYUAN, TAIWAN, AND IN PART BY THE MINISTRY OF EDUCATION.
WE WOULD LIKE TO THANK ICOURSE163.ORG FOR PROVIDING THE ANONYMIZED LEARNING DATA, AND TEAM MEMBERS OF X-LEARNING CENTER (GSE, PEKING UNIVERSITY) FOR THE IN-DEPTH DISCUSSIONS ABOUT THE LEARNING DESIGN OF THIS MOOC. WE ACKNOWLEDGE DR. TORSTEN JUELICH FOR HIS PROFESSIONAL FEEDBACK ABOUT LANGUAGE AND LOGIC OF THE PAPER, WHICH GREATLY IMPROVED THE WRITING. THIS STUDY WAS FUNDED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NSFC-61532001) AND PEKING UNIVERSITY (NO. 2020YBC18).
THIS MATERIAL IS BASED UPON WORK SUPPORTED IN PART BY SK HYNIX INC. AND THE NATIONAL SCIENCE FOUNDATION (UNDER GRANT NO. 1633412 AND GRANT NO. 1405939).
THIS RESEARCH WAS SUPPORTED BY THE IRISH RESEARCH COUNCIL IN ASSOCIATION WITH THE NATIONAL FORUM FOR THE ENHANCEMENT OF TEACHING AND LEARNING IN IRELAND UNDER PROJECT NUMBER GOIPG/2015/3497, BY SCIENCE FOUNDATION IRELAND UNDER GRANT NUMBER 12/RC/2289, AND BY FULBRIGHT IRELAND. THE AUTHORS ARE INDEBTED TO DR. STEPHEN BLOTT WHO DEVELOPED THE GRADING PLATFORM AND DR. DARRAGH O'BRIEN, LECTURER ON THE MODULE WHICH IS THE SUBJECT OF THIS WORK, FOR THEIR HELP. WE WOULD ALSO LIKE TO THANK ALL STUDENTS WHO PARTICIPATED IN THIS INITIATIVE FOR THEIR COMMENTS AND FEEDBACK AND TO THE ANONYMOUS REVIEWERS FOR THEIR HELPFUL AND CONSTRUCTIVE FEEDBACK.
THIS WORK WAS SUPPORTED AND FUNDED BY THE LEVERHULME TRUST, OPEN WORLD LEARNING. WE WOULD ALSO LIKE TO ACKNOWLEDGE THE COSUPERVISORS OF QUAN NGUYEN, PROF. DENISE WHITELOCK AND PROF. ZDENEK ZDRAHAL. FURTHERMORE, WE ARE GRATEFUL FOR THE INPUT FROM THE OU LEARNING DESIGN TEAM.
THIS STUDY IS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61907003).
NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA, GRANT/AWARD NUMBER: 61907038; UNIVERSITYLEVEL EDUCATIONAL REFORMATION RESEARCH PROJECT FOR UNDERGRADUATE EDUCATION, ZHEJIANG UNIVERSITY, GRANT/AWARD NUMBER: ZDJG21033; GRADUATE EDUCATION RESEARCH PROJECT OF ZHEJIANG UNIVERSITY, GRANT/AWARD NUMBER: 20210308; STARTUP FUND OF THE HUNDRED TALENT PROGRAM AT THE ZHEJIANG UNIVERSITY, CHINA
THIS RESEARCH WAS FUNDED BY CORPORACION DE FOMENTO DE LA PRODUCCION (CORFO) 14ENI2-26905 "NUEVA INGENIERIA PARA EL 2030"-PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO, CHILE.
THIS WORK WAS SUPPORTED IN PART BY THE NATIONAL SCIENCE FOUNDATION OF THE UNITED STATES UNDER AWARD 935450, IN PART BY THE MIT-SPAIN ``LA CAIXA'' FOUNDATION SEED FUND, IN PART BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACION PROGRAM UNDER GRANT FJCI-2017-34926, AND IN PART BY THE RESEARCH AND DEVELOPMENT CONTRACT LAGA (LEARNING ANALYTICS AND GAME-BASED ASSESSMENT). THIS WORK INVOLVED HUMAN SUBJECTS OR ANIMALS IN ITS RESEARCH. APPROVAL OF ALL ETHICAL AND EXPERIMENTAL PROCEDURES AND PROTOCOLS WAS GRANTED BY MIT COMMITTEE ON THE USE OF HUMAN AS EXPERIMENTAL SUBJECTS UNDER APPLICATION NO. 1808472151, AND PERFORMED IN LINE WITH THE US FEDERAL REGULATION 45 CFR 46.
THIS MATERIAL IS BASED ON WORK SUPPORTED BY THE BILL AND MELINDA GATES FOUNDATION, THE DEFENSE ADVANCED RESEARCH PROJECTS AGENCY, AND NATIONAL SCIENCE FOUNDATION GRANTS NO. EEC 1329438 AND DRL 1338176. ANY OPINIONS, FINDINGS, CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE OUR OWN AND DO NOT NECESSARILY REFLECT POSITIONS OR POLICIES OF THESE AGENCIES.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2018/TCS-4307, CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS FSE AND FEDER), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), BY THE EUROPEAN COMMISSION (ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259) AND BY THE TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES.
THIS WORK HAS BEEN FOUNDED BY THE R&D PROGRAM OF MADRID (S2013/ICE-2715) AND THE SPANISH MINISTRY OF ECONOMY AND. COMPETITIVENESS PROJECT FLEXOR (TIN2014-52129-R).
THIS STUDY WAS SUPPORTED BY A GRANT FROM THE ACADEMY OF FINLAND FOR THE UNESCO PROFESSOR HEIKKI LYYTINEN (DECISION NUMBERS 292493 AND 311737), THE PROFESSOR TOMMI KARKKAINEN (DECISION NUMBERS 311877 AND 315550), AND THE PROFESSOR ULLA RICHARDSON (DECISION NUMBER 274050). THE STUDY WAS ALSO SUPPORTED BY A GRANT FROM THE FOUNDATION BOTNAR FOR THE PROFESSOR ULLA RICHARDSON (DECISION NUMBER 6066). ALL THE AUTHORS GRATEFULLY ACKNOWLEDGE THE POSTDOCTORAL RESEARCHER HARRI KETAMO FOR THE VALUABLE DISCUSSIONS RELATED TO SERIOUS GAMES AND DATA ANALYTICS.
OUR WORK HAS BEEN FUNDED BY THE FEDERAL MINISTRY OF EDUCATION AND RESEARCH OF GERMANY (BMBF) UNDER GRANT NO. 16DII111 (DEUTSCHES INTERNET-INSTITUT).
THIS WORK IS CARRIED OUT UNDER THE SMARTCU AND COVENANT UNIVERSITY DATA ANALYTICS CENTER (CUDAC) RESEARCH CLUSTERS. THIS RESEARCH IS FULLY SPONSORED BY COVENANT UNIVERSITY CENTRE FOR RESEARCH, INNOVATION AND DEVELOPMENT (CUCRID), COVENANT UNIVERSITY, OTA, NIGERIA.
THIS RESEARCH WAS FUNDED BY THE RESEARCH ENHANCEMENT GRANT SCHEME AT THE UNIVERSITY OF TASMANIA.
AUTHORS ARE GRATEFUL TO THE UNIVERSIDAD COMPLUTENSE DE MADRID FOR FUNDING THE TEACHING INNOVATION PROJECT "LEARNING ANALYTICS: CAMPUS VIRTUAL COMO FUENTE DE INFORMACION PARA CONOCER A NUESTROS ESTUDIANTES Y MEJORAR LA CALIDAD DOCENTE" (PIMCD2017-31).
THIS RESEARCH WAS FUNDED BY THE DEANSHIP OF SCIENTIFIC RESEARCH, DISTINGUISHED PROJECT, ISLAMIC UNIVERSITY OF MADINAH, KSA, UNDER GRANT NUMBER 22-2018-2019.
THIS WORK WAS SUPPORTED BY THE IBADA [GRANT 2019-2020].
THE AUTHOR THANKS THE UNIVERSITY OF SOUTHERN CALIFORNIA'S PROVOST'S POSTDOCTORAL SCHOLARS PROGRAM FOR ITS SUPPORT, AS WELL AS DR. STUART KARABENICK, DR. BARRY FISHMAN, DR. STEVEN LONN, AND DR. STEPHANIE TEASLEY, WHO NURTURED AN EARLY INTEREST IN LEARNING ANALYTICS APPLICATIONS.
THIS WORK WAS SUPPORTED BY THE INTERNATIONAL FUND FOR AGRICULTURAL DEVELOPMENT, THROUGH THE INNOVATION CHALLENGE PROJECT "LEVERAGING ARTIFICIAL INTELLIGENCE AND BIG DATA TO FOR IFAD 2.0". THE AUTHORS WISH TO THANK DAVIDE BELUCCI, VERONICA NOTARO AND GIOSU`E RUSCICA FOR THEIR SUPPORT WITH DATA COLLECTION AND PROCESSING, AND GIOVANNI CERULLI FOR HELPFUL COMMENTS.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE FINANCIAL SUPPORT OF TECLABS, TECNOLOGICO DE MONTERREY, MEXICO, IN THIS RESEARCH, ALSO WE THANK ARTURO RODRIGUEZ -LOPEZ FOR ASSISTANCE WITH THE TRANSLATION AND PROOFREADING OF THE MANUSCRIPT.
THIS WORK WAS SUPPORTED BY (SCHOOL-BASED CURRICULUM DEVELOPMENT) ONLINE OPEN COURSE CONSTRUCTION (PROJECT NO.: 201802136052), THE SECOND BATCH OF COOPERATIVE EDUCATION PROJECTS IN 2018 BY DEPARTMENT OF HIGHER EDUCATION, MINISTRY OF EDUCATION, THE PEOPLE'S REPUBLIC OF CHINA.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY 108-2511-H-009 -013 -MY3 FROM THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN.
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL CANCER INSTITUTE OF THE NATIONAL INSTITUTE FOR HEALTH VIA GRANT R01CA203861.
THIS WORK WAS SUPPORTED AND FUNDED BY THE LEVERHULME TRUST, OPEN WORLD LEARNING. WE WOULD ALSO LIKE TO ACKNOWLEDGE THE CO-SUPERVISORS OF QUAN NGUYEN - PROF. DENISE WHITELOCK AND PROF. ZDENEK ZDRAHAL. FURTHERMORE, WE ARE GRATEFUL FOR THE INPUT FROM THE OU LEARNING DESIGN TEAM.
WE WISH TO ACKNOWLEDGE THE HELP PROVIDED BY TEACHING AND LEARNING IT SERVICES, ESPECIALLY JENNIFER LOVE; AND CARL HAYNES. WEWOULD ALSO LIKE TO THANK THE CENTER FOR ACADEMIC INNOVATION FOR PROVIDING A GRADUATE FELLOWSHIP TO SUPPORT THE FIRST AUTHOR'S PARTICIPATION IN THIS PROJECT.
THE SECOND AUTHOR WAS SPONSORED BY MOST 105- 2410-H-110-019 - AND SAYLING WEN CULTURAL & EDUCATIONAL FOUNDATION AND SERVICE SCIENCE SOCIETY OF TAIWAN.
THIS WORK WAS PARTIALLY FUNDED BY THE EUROPEAN UNION IN THE CONTEXT OF THE GO-LAB INTEGRATED PROJECT AND THE NEXT-LAB INNOVATION ACTION. THE LATTER HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAM UNDER GRANT AGREEMENT NO. 731685. THIS PUBLICATION REFLECTS ONLY THE AUTHORS' VIEW AND THE EUROPEAN COMMISSION IS NOT RESPONSIBLE FOR ANY USE THAT MAY BE MADE OF THE INFORMATION IT CONTAINS.
WE WOULD LIKE TO ACKNOWLEDGE THE HELP OF VACLAV PECH FROM MPS JETBRAINS THAT ASSISTED US IN THE FINAL IMPLEMENTATION STAGES OF THE DSL DEVELOPMENT AND BRITISH TELECOMMUNICATIONS (BT) DATA SCIENCE DEPARTMENT FOR INKIND AND FINANCIAL SUPPORT FOR THIS RESEARCH.
DR. AGUILAR HAS BEEN PARTIALLY SUPPORTED BY THE PROMETEO PROJECT OF THE MINISTRY OF HIGHER EDUCATION, SCIENCE, TECHNOLOGY AND INNOVATION (SENESCYT) OF THE REPUBLIC OF ECUADOR.
THIS WORK IS CO-FUNDED BY THE EUROPEAN UNION UNDER THE PELARS PROJECT. THE FOURTH AUTHOR WAS PARTIALLY SUPPORTED BY AGENCIA ESTATAL DE INVESTIGACION (AEI) Y EL FONDO EUROPEO DE DESARROLLO REGIONAL (FEDER), TIN2016-80774-R.
THIS RESEARCH WAS SUPPORTED BY NIAAA GRANT R01AA025969 TO CATHARINE FAIRBAIRN. OUR THANKS TO NANCY BARNETT FOR HELPFUL COMMENTS ON AN EARLIER VERSION OF THIS MANUSCRIPT. C.E.F. RECEIVED TRANSDERMAL DEVICES AT DISCOUNTED RATES FROM BACTRACK FOR THE PURPOSES OF PERFORMING VALIDATION RESEARCH. BACTRACK DID NOT HAVE A ROLE IN CONDUCTING, EVALUATING OR DISSEMINATING THE RESEARCH. THE AUTHORS HAVE NO COMPETING INTERESTS TO DECLARE.
MANY THANKS TO DAVID ADAMS AND THE ENGINEERING STAFF AT THE OFFICE OF THE VICE PROVOST FOR TEACHING AND LEARNING FOR EXCEEDINGLY GENEROUS SUPPORT WITH OPEN EDX. WE ARE GRATEFUL FOR THE ENTHUSIASM AND PATIENCE OF THE INSTRUCTORS WHO USED OARS AND MADE THIS RESEARCH POSSIBLE. WE ALSO THANK THE VOLUNTEERS, PUBLICATIONS SUPPORT AND STAFF, WHO WROTE AND PROVIDED HELPFUL COMMENTS ON PREVIOUS VERSIONS OF THIS DOCUMENT. THIS RESEARCH WAS SUPPORTED BY NSF AWARD 1443068.
THIS WORK IS SUPPORTED BY THE INNOVATION TECHNOLOGY FUND OF HONG KONG UNDER GRANT NO. ITS/388/17FP.
THIS WORK WAS SUPPORTED BY A GRANT OF THE ROMANIAN NATIONAL AUTHORITY FOR SCIENTIFIC RESEARCH AND INNOVATION, CNCS - UEFISCDI, PROJECT NUMBER PN-III 69PCCDI/2018, LIB2LIFE - "REVITALIZING LIBRARIES AND CULTURAL HERITAGE THROUGH ADVANCED TECHNOLOGIES". THE AUTHORS ARE THANKFUL TO LARISE LUCIA STAVARACHE FOR CRAWLING THE ANALYZED DATA, AND TO AMBAR MURILLO MONTES DE OCA FOR DILIGENT PROOFREADING AND THOUGHTFUL COMMENTS ON THE MANUSCRIPT.
THE AUTHORS WOULD LIKE TO THANK THE MINISTRY OF SCIENCE AND TECHNOLOGY OF THE REPUBLIC OF CHINA, TAIWAN, FOR FINANCIAL SUPPORT (MOST 104-2511-S-008-008-MY3)
THIS RESEARCH WAS PARTLY FUNDED BY UNIVERSIDAD POLITECNICA DE MADRID, GRANT NUMBER IE1819.0904. THIS PAPER IS SUPPORTED BY THE ROBOSTEAM ERASMUS+ KA201 PROJECT WITH REFERENCE 2018-1-ES01-KA201-050939.
THIS WORK WAS FUNDED BY THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THIS PROJECT HAS BEEN FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION. THIS PUBLICATION REFLECTS ONLY THE VIEWS OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS RESEARCH WAS MAINLY SUPPORTED BY STRATEGIC INTERNATIONAL RESEARCH COOPERATIVE PROGRAM, JAPAN SCIENCE AND TECHNOLOGY AGENCY (JST) REGARDING "SECURITY IN THE INTERNET OF THINGS SPACE".
THIS RESEARCH HAS BEEN SUPPORTED BY DELFT DATA SCIENCE, THE LDE CENTRE FOR EDUCATION AND LEARNING, NWO SEARCHX (639.022.722) AND NWO ASPASIA (015.013.027).
THE PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT IN-AID FOR SCIENTIFIC RESEARCH NO. 16H03078 AND NO. 17K12947 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS STUDY WAS SUPPORTED BY FUNDING FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC 8952011-1006). ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR(S) AND DO NOT NECESSARILY REFLECT THE VIEWS OF SSHRC.
THIS RESEARCH WAS PARTLY FUNDED BY THE AUTONOMOUS COMMUNITY OF MADRID, E-MADRID PROJECT, NUMBER S2009/TIC-1650.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE EUROPEAN UNION IN THE CONTEXT OF GO-LAB, NEXT-LAB, GO-GA, AND CEITER (FP7 GRANT AGREEMENT NO. 317601, AND HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENT NOS. 731685, 781012, AND 669074); THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES (GRANT AGREEMENT NO. TIN2017-85179-C3-2-R); THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES (GRANT AGREEMENT NO. PID2020-112584RB-C32); AND THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL GOVERNMENT OF CASTILE AND LEON (GRANT AGREEMENT NO. VA257P18).
THIS RESEARCH WAS SUPPORTED BY HONG KONG RESEARCH GRANTS COUNCIL (GRANTS NO. 27606915 AND NO. 17608318) AND BY THE PUBLIC POLICY RESEARCH FUNDING SCHEME (PROJECT NUMBER: 2017.A8.073.18C) FROM THE POLICY INNOVATION AND CO-ORDINATION OFFICE OF THE GOVERNMENT OF THE HKSAR.
THIS WORK WAS SUPPORTED BY AGE-WELL NCE INC., A MEMBER OF THE GOVERNMENT OF CANADA'S NETWORKS OF CENTRES OF EXCELLENCE.
THIS WORK IS FUNDED BY THE LEVERHULME OPEN WORLD LEARNING GRANT AT THE OPEN UNIVERSITY UK.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2019S1A5A2A03052192).
THIS RESEARCH IS SUPPORTED BY JSPS (JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE) KAKENHI GRANT NUMBER 16H02923.
THIS WORK WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NO. 62037001, 62007031 AND 61877020), AND THE KEY RESEARCH AND DEVELOPMENT PROGRAM OF ZHEJIANG PROVINCE (NO. 2021C03141).
WE THANK THE ORGANISERS OF THE BOOST 2019 WORKSHOP AT MIT FOR A VIBRANT SCIENTIFIC ENVIRONMENT THAT SPARKED THE DISCUSSION ABOUT THIS PROJECT. WE ARE ALL THANKFUL TO MATTEO CACCIARI FOR MULTIPLE INTERACTIONS AND INTERESTING DISCUSSIONS. WE THANK SIMONE CALETTI, ANDREA COCCARO, ANDREW LARKOSKI, BEN NACHMAN, AND JESSE THALER FOR HELPFUL COMMENTS ON THE MANUSCRIPT. SM AND GIS WISH TO THANK IPHT SACLAY FOR HOSPITALITY DURING THE COURSE OF THIS WORK. THE WORK OF SM IS SUPPORTED BY UNIVERSITA DI GENOVA UNDER THE CURIOSITY-DRIVEN GRANT "USING JETS TO CHALLENGE THE STANDARD MODEL OF PARTICLE PHYSICS" AND BY THE ITALIAN MINISTRY OF RESEARCH (MIUR) UNDER GRANT PRIN 20172LNEEZ. GK ACKNOWLEDGES SUPPORT BY THE DEUTSCHE FORSCHUNGSGEMEINSCHAFT (DFG, GERMAN RESEARCH FOUNDATION) UNDER GERMANY'S EXCELLENCE STRATEGY -EXC 2121 "QUANTUM UNIVERSE" -390833306. GRS'S WORK HAS BEEN SUPPORTED IN PART BY THE FRENCH AGENCE NATIONALE DE LA RECHERCHE, UNDER GRANT ANR-15-CE31-0016.
WE WOULD LIKE TO THANK OUR STUDENT ALEXANDER RUPPERT FOR HIS CONTRIBUTIONS TOWARDS THE IMPLEMENTATION OF SWEVA AND WE ARE GRATEFUL FOR THE FEEDBACK RECEIVED IN OUR EVALUATION. WE ARE ESPECIALLY THANKFUL FOR THE USEFUL AND SUPPORTIVE REMARKS EXPRESSED BY OUR REVIEWERS; THEY HELPED POSITIONING OUR APPROACH IN THE WIDER CONTEXT OF VISUAL LEARNING ANALYTICS. THE WORK HAS RECEIVED FUNDING FROM THE EUROPEAN COMMISSION'S FP7 IP LEARNING LAYERS UNDER GRANT AGREEMENT NO, 318209 AND FROM THE EUROPEAN RESEARCH COUNCIL UNDER THE EUROPEAN UNION'S HORIZON 2020 PROGRAMME THROUGH THE PROJECT "WEKIT" (GRANT NO. 687669).
THE AUTHORS THANK THE ASSISTANCE OF MARIA LUISA BERDUD, DIRECTOR OF THE TIC SERVICE IN FUNDACION SINDROME DE DOWN DE MADRID, FOR HER ASSESSMENT IN CHOOSING THE USERS, PROVIDING THE FACILITIES FOR THE RESEARCH AND HER COMMITMENT WITH THE PROJECT. THE CEIEC INSTITUTE HAS BEEN PARTIALLY FUNDED BY THE FRANCISCO DE VITORIA UNIVERSITY (UFV-2015-05). THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), BY THE MINISTRY OF EDUCATION (TIN2013-46149-C2-1-R, TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259).
THE AUTHORS ARE GRATEFUL TO THE DEANSHIP OF SCIENTIFIC RESEARCH AT KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA FOR FUNDING THIS WORK THROUGH THE VICE DEANSHIP OF SCIENTIFIC RESEARCH CHAIRS.
WE APPRECIATE THE ASSISTANCE FROM PHOTRON CO., LTD. AND SRA WEST JAPAN, INC. THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 26730173.
THIS RESEARCH WAS SUPPORTED BY NATURAL SCIENCES AND ENGINEERING RESEARCH COUNCIL OF CANADA (NSERC) AND SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC).
THIS STUDY IS SUPPORTED IN PART BY THE NATIONAL SCIENCE COUNCIL OF THE REPUBLIC OF CHINA. (MOST 106-2511-S-008-006 AND MOST 106-2622-S-008 -002 -CC3)
THIS WORK IS SUPPORTED IN PART BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS (OPEN CO-CREATION PROJECT - TIN2014-53082-R). CECILIA, SILVIA, AND RAMON BELONG TO THE BCDS GROUP (REF. GRCT40) UNIVERSITY OF GIRONA (UDG) - DURSI (CSI -SGR-1469). THANKS TO THE UDG MPCUDG2016. CECILIA HAS FINANCIAL SUPPORT UNDER BR2014 - UDG. SILVIA THANKS TO THE CO-CREEMOS PROJECT (RES. 386, FEB. 2016 - TECNOLOGICO DE COMFENALCO). SABINE ACKNOWLEDGES THE SUPPORT FROM NSERC.
THE LACE EVIDENCE HUB IS POWERED BY WORDPRESS AND BASED ON THE OER RESEARCH HUB DEVELOPED BY ROB FARROW AND MARTIN HAWKSEY IN THE INSTITUTE OF EDUCATIONAL TECHNOLOGY AT THE OPEN UNIVERSITY AS PART OF A PROJECT FUNDED BY THE HEWLETT FOUNDATION. THE EUROPEAN COMMISSION SEVENTH FRAMEWORK PROGRAMME FUNDS THE LACE PROJECT: GRANT NUMBER 619424.
THIS WORK WAS SUPPORTED BY THE KENNISNET.
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE ERASMUS+ PROJECT FITPED - WORK-BASED LEARNING IN FUTURE IT PROFESSIONALS EDUCATION (ERASMUS+ PROGRAMME GRANT NO. 2018-1-SK01-KA203-046382) AND PROJECT INNOVATIVE METHODS IN PROGRAMMING EDUCATION IN THE UNIVERSITY EDUCATION OF TEACHERS AND IT PROFESSIONALS (KEGA 029UKF-4/2018).
THE AUTHORS WOULD LIKE TO THANK ALL THE PARTICIPANTS OF THIS STUDY. THIS WORK WAS CARRIED OUT DURING THE TENURE OF AN ERCIM "ALAIN BENSOUSSAN" FELLOWSHIP PROGRAMME. THIS WORK HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENTS NO. 751550, AND BY THE NORWEGIAN RESEARCH COUNCIL UNDER THE PROJECT FUTURE LEARNING (NUMBER: 255129/H20).
THIS WORK IS PART OF THE EMPLOYID PROJECT, WHICH HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S SEVENTH FRAMEWORK PROGRAMME FOR RESEARCH, TECHNOLOGICAL DEVELOPMENT AN DEMONSTRATION UNDER GRANT AGREEMENT NO. 619619.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP16K16331, JP16H03082 AND JP17H01998.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION (GRANT AGREEMENT NOS. 731685 AND 669074).
THIS WORK IS SUPPORTED BY THE ERDF - EUROPEAN REGIONAL DEVELOPMENT FUND THROUGH THE COMPETE PROGRAMME (OPERATIONAL PROGRAMME FOR COMPETITIVENESS) AND BY NATIONAL FUNDS THROUGH THE FCT (PORTUGUESE FOUNDATION FOR SCIENCE AND TECHNOLOGY) WITHIN PROJECT "REMINDS/UTAP-ICDT/EEICTP/0022/2014".
INSTITUTE OF MUSEUM AND LIBRARY SERVICES, GRANT/AWARD NUMBER: LG-96-18-0044-18
THE PAPER IS PARTLY SUPPORTED WITHIN THE PROJECT MU19-FTF-001 "INTELLIGENT DATA ANALYSIS FOR IMPROVING THE LEARNING OUTCOMES" OF THE SCIENTIFIC RESEARCH FUND AT THE UNIVERSITY OF PLOVDIV "PAISII HILENDARSKI".
AUTHORS ACKNOWLEDGE TO ALL TEACHERS TAKING PART IN THIS PROCESS. CECILIA AVILA AND RAMON FABREGAT ACKNOWLEDGE THE SUPPORT FROM THE BCDS RESEARCH GROUP (REF. GRCT40), WHICH IS PART OF THE DURSI CONSOLIDATED RESEARCH GROUP SMART IT ENGINEERING AND SERVICES (SITES) (REF. 2017 SGR1551). CECILIA AVILA HAD FINANCIAL SUPPORT UNDER THE GRANT BR2014 OF THE UNIVERSITY OF GIRONA. SILVIA BALDIRIS ACKNOWLEDGES THE SUPPORT FROM THE SCHOOL OF ENGINEERING AND TECHNOLOGY FROM THE INTERNATIONAL UNIVERSITY OF LA RIOJA. SABINE GRAF ACKNOWLEDGES THE SUPPORT FROM NSERC.
THIS RESEARCH IS PARTIALLY FUNDED BY PROJECT TIN2016-80515-R "SERVICE PLATFORM BASED ON MULTIMODAL ANALYSIS FOR SELF-REGULATED LEARNING" FROM THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS.
\THIS RESEARCH WAS FUNDED BY SECRETARIAT OF UNIVERSITIES AND RESEARCH OF THE DEPARTMENT OF BUSINESS AND KNOWLEDGE OF THE GENERALITAT DE CATALUNYA AND RAMON LLULL UNIVERSITY, WITH THE GRANT NUMBER 2020-URL-PROJ-058.
THE JACKSON HEART STUDY (JHS) IS SUPPORTED AND CONDUCTED IN COLLABORATION WITH JACKSON STATE UNIVERSITY (HHSN268201800013I), TOUGALOO COLLEGE (HHSN268201800014I), THE MISSISSIPPI STATE DEPARTMENT OF HEALTH (HHSN268201800015I/HHSN26800001), AND THE UNIVERSITY OF MISSISSIPPI MEDICAL CENTER (HHSN268201800010I, HHSN268201800011I, AND HHSN268201800012I) CONTRACTS FROM THE NATIONAL HEART, LUNG, AND BLOOD INSTITUTE (NHLBI) AND THE NATIONAL INSTITUTE FOR MINORITY HEALTH AND HEALTH DISPARITIES (NIMHD). THE AUTHORS ALSO WISH TO THANK THE STAFF AND PARTICIPANTS OF THE JHS. GRANTS WERE RECEIVED FROM THE MINISTRY OF HEALTH ANDWELFARE (MOHW104-TDUB-211-113-003, MOHW106-TDU-B-211-113001) AND AN INTRAMURAL GRANT FROM NATIONAL YANG-MING UNIVERSITY (E107F-M01-0501). THIS WORK IS PARTICULARLY SUPPORTED BY "YIN YEN-LIANG FOUNDATION DEVELOPMENT AND CONSTRUCTION PLAN" OF THE SCHOOL OF MEDICINE, NATIONAL YANG-MING UNIVERSITY.
THE AUTHORS WOULD LIKE TO THANK THE REST OF THE AFEL CONSORTIUM. THIS WORK WAS SUPPORTED BY THE KNOW-CENTER GRAZ, THE SCIENCE FOUNDATION IRELAND (SFI) INSIGHT CENTRE FOR DATA ANALYTICS AND THE EUROPEAN-FUNDED PROJECT AFEL (GA687916). THE KNOW-CENTER GRAZ IS FUNDED WITHIN THE AUSTRIAN COMET PROGRAM -COMPETENCE CENTERS FOR EXCELLENT TECHNOLOGIES -UNDER THE AUSPICES OF THE AUSTRIAN MINISTRY OF TRANSPORT, INNOVATION AND TECHNOLOGY, THE AUSTRIAN MINISTRY OF ECONOMICS AND LABOR AND BY THE STATE OF STYRIA. COMET IS MANAGED BY THE AUSTRIAN RESEARCH PROMOTION AGENCY (FFG).
SUPPORT FOR THIS RESEARCH HAS BEEN PROVIDED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING.
THE WORK PRESENTED IN THIS ARTICLE HAS BEEN PARTIALLY CO-FUNDED BY THE EUROPEAN COMMISSION IN THE CONTEXT OF THE GO-LAB PROJECT (GRANT AGREEMENT NO. 317601) UNDER THE INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) THEME OF THE 7TH FRAMEWORK PROGRAMME FOR R&D (FP7). THE FIRST AND SECOND AUTHORS' CONTRIBUTION IN THIS WORK HAS BEEN ALSO PARTIALLY CO-FUNDED BY THE GREEK GENERAL SECRETARIAT FOR RESEARCH AND TECHNOLOGY, UNDER THE MATCHING FUNDS 2014-2016 FOR THE EU PROJECT "INSPIRING SCIENCE: LARGE SCALE EXPERIMENTATION SCENARIOS TO MAINSTREAM ELEARNING IN SCIENCE, MATHEMATICS AND TECHNOLOGY IN PRIMARY AND SECONDARY SCHOOLS" (PROJECT NUMBER: 325123). THE SECOND AUTHOR'S CONTRIBUTION IN THIS WORK HAS BEEN ALSO PARTIALLY CO-FUNDED BY THE EUROPEAN COMMISSION IN THE CONTEXT OF THE "LEARN2ANALYZE" PROJECT (PROJECT NUMBER: 588067-EPP-1-2017-1-EL-EPPKA2-KA) UNDER THE ERASMUS + KNOWLEDGE ALLIANCE PROGRAM. THIS ARTICLE REFLECTS THE VIEWS ONLY OF THE AUTHORS AND IT DOES NOT REPRESENT THE OPINION OF NEITHER THE EUROPEAN COMMISSION NOR THE GREEK GENERAL SECRETARIAT FOR RESEARCH AND TECHNOLOGY, AND THE EUROPEAN COMMISSION AND THE GREEK GENERAL SECRETARIAT FOR RESEARCH AND TECHNOLOGY CAN NOT BE HELD RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENT.
THE PAPER IS PART OF THE WORK SUPPORTED BY THE OFFICE OF NAVAL RESEARCH GRANT NO. N00014-15-1-2789
LEVERHULME TRUST THE WORK BY QUAN NGUYEN WAS FUNDED BY THE LEVERHULME TRUST RESEARCH PROJECT GRANT OPEN WORLD LEARNING.
FUNDING FOR THIS PROJECT WAS PROVIDED BY BLANK SLATE TECHNOLOGIES LLC.
THIS EXPERIMENT WAS KINDLY SUPPORTED BY A GRANT FROM THE MINISTRY OF SCIENCE AND TECHNOLOGY IN TAIWAN. (GRANT NUMBER: MOST106-2410-H-415-024)
WE WOULD LIKE TO EXPRESS OUR GRATITUDE TO ALL PARTICIPANTS AT THE TWO UNIVERSITIES WHO TOOK PART IN THE STUDY AND ESPECIALLY TO THE UNIT COORDINATORS AT BOTH SITES FOR GIVING US ACCESS TO THE STUDENTS IN THEIR CLASSES. WE APPRECIATE FUNDING FOR THE RESEARCH FROM THE STEM EDUCATION FUTURES RESEARCH CENTRE IN THE FACULTY OF ARTS & SOCIAL SCIENCES AT THE UNIVERSITY OF TECHNOLOGY SYDNEY.
THE DEVELOPMENT AND THE EVALUATION OF THE INTERACTIVE LEARNING TOOL WAS PERFORMED AS PART OF THE RESEARCH PROJECT SAIL-M (SEMI-AUTOMATIC ANALYSIS OF INDIVIDUAL LEARNING PROCESSES IN MATHEMATICS) FUNDED BY THE GERMAN FEDERAL MINISTRY OF EDUCATION AND RESEARCH IN THE SUPPORT PROGRAM "HIGHER EDUCATION RESEARCH AS A CONTRIBUTION TO THE PROFESSIONALIZATION OF HIGHER EDUCATION -FUTURE WORKSHOP HIGHER EDUCATION".
THE AUTHORS WISH TO ACKNOWLEDGE THAT THIS WORK IS FUNDED BY THE RESEARCH GRANTS COUNCIL OF THE HKSAR GOVERNMENT, #T44-707/16/N, UNDER THE THEME BASED RESEARCH SCHEME.
THIS WORK IS SUPPORTED BY THE BASQUE GOVERNMENT (IT980-16), THE UPV/EHU (EHUA 16/22) AND THE VICE-CHANCELLOR FOR INNOVATION, SOCIAL ENGAGEMENT AND CULTURAL ACTION OF THE UPV/EHU THROUGH THE SAE-HELAZ (HBT-ADITUAK 2018-19/6).
THIS WORK WAS FUNDED BY 2019 COMPREHENSIVE DISCIPLINE CONSTRUCTION FUND OF FACULTY OF EDUCATION, BEIJING NORMAL UNIVERSITY.
THE PROJECT IS A EUROPEAN UNION RESEARCH PROJECT FOR SMALL OR MEDIUM-SCALE FOCUSED RESEARCH PROJECT (STREP) PART OF THE FP7-ICT-2013-11, OBJECTIVE ICT-2013.8.2 TECHNOLOGY-ENHANCED LEARNING. THE GRANT AGREEMENT NUMBER IS 619738; SEE [1].
WE THANK ALL EVALUATION PARTICIPANTS FOR THEIR MOST VALUABLE FEEDBACK. THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN COMMUNITY SEVENTH FRAMEWORK PROGRAMME (FP7/2007-2013) UNDER GRANT AGREEMENT NO. 231396 (ROLE). KATRIEN VERBERT IS A POST-DOCTORAL FELLOW OF THE RESEARCH FOUNDATION-FLANDERS (FWO).
THE AUTHORS ALSO WISH TO THANK THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS FOR THEIR SUPPORT OF SNOLA (SPANISH NETWORK OF LEARNING ANALYTICS), OFFICIALLY RECOGNIZED AS A NATIONAL THEMATIC NETWORK OF EXCELLENCE (TIN2015-71669-REDT).
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. IIS-1321045. IT HAS BEEN EXCERPTED AND ADAPTED WITH PERMISSION FROM: HUNDHAUSEN, C., CARTER, A. & OLIVARES, D. IDE-BASED LEARNING ANALYTICS FOR COMPUTING EDUCATION: A PROCESS MODEL, CRITICAL REVIEW, AND RESEARCH AGENDA. ACM TRANSACTIONS ON COMPUTING EDUCATION (TOCE), 17(3), 11, (C) 2017 ACM, INC. DOI: HTTPS://DOI.ORG/10.1145/3105759.
THIS WORK WAS PARTIALLY SUPPORTED BY JST PRESTO GRANT NUMBER JPMJPR1505, "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), AND KYUSHU UNIVERSITY INTERDISCIPLINARY PROGRAMS IN EDUCATION AND PROJECTS IN RESEARCH DEVELOPMENT, JAPAN.
WE WOULD LIKE TO THANK THE MULTIPLE REVIEWERS CONTRIBUTING TO THIS SPECIAL ISSUES WITH THEIR VALUABLE HELP WITH SELECTING AND ENHANCING THE PAPERS IN THE SPECIAL ISSUE. THIS EDITORIAL WORK HAS BEEN POSSIBLE THANKS TO THE SUPPORT OF THE SPANISH MINISTRY (TIN2014-53199-C3-3-R, MDM-2015-0502), RECERCAIXA (COT), NATIONAL SCIENCE FOUNDATION UNDER DRL-1252297, AND THE EUROPEAN UNION IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NO. 669074 AND 731685).
THIS WORK WAS SUPPORTED BY THE EUROPEAN COMMISSION [PROJECT NUMBER: 2015-BE02-KA203-012317]. THE INFORMATION IN THIS RESEARCH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS WORK WAS PARTIALLY FUNDED BY: FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES-AGENCIA ESTATAL DE INVESTIGACION, THROUGH THE PROJECT SMARTLET (TIN2017-85179-C3-1-R); THE COMMUNITY OF MADRID THROUGH ITS REGIONAL PROJECT "EMADRID" (S2018/TCS-4307); THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION THROUGH THE INNOVAT PROJECT (598758-EPP-1-2018-1-AT-EPPKA2-CBHE-JP).
THIS RESEARCH WAS PARTIALLY SUPPORTED BY GRANT 108-2511-H-009 -013 -MY3 FROM THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN.
THIS WORK WAS SUPPORTED BY THE CENTRE FOR INNOVATION IN LEARNING AND EDUCATION (CILE), A CATALYST OFS FUNDED PROJECT. THE JOINT ASTON/CRANFIELD VIRTUAL CENTRE AIMS TO DEVELOP NEW KNOWLEDGE IN INNOVATIVE EDUCATION, BUSINESSENGAGED EDUCATIONAL DESIGN AND INNOVATIVE DELIVERY MODES IN UNDERGRADUATE PROVISION WITHIN UK HIGHER EDUCATION.
THIS WORK WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 61702207, L1724007), HUBEI PROVINCIAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 2018CFB518, 2018CFB404, 2017CFB504) AND FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES (GRANT NO. CCNU18QN009, CCNU16A05046).
THIS WORK WAS SUPPORTED BY MINISCIENCES -THE TRAINING PROGRAM "HIGH LEVEL HUMAN CAPITAL FOR THE DEPARTMENT OF NORTE DE SANTANDER" CALL 753 OF COLCIENCIAS, AND PARTIALLY SUPPORTED BY CNPQ (BRAZILIAN NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT) [EDITAL UNIVERSAL, PROC.404369/2016-2] [DT-2 PRODUCTIVITY IN TECHNOLOGICAL DEVELOPMENT AND INNOVATIVE EXTENSION SCHOLARSHIP, PROC. 315445/20181 AND COLCIENCIAS -THE RESEARCH PROGRAM "RECONSTRUCTION OF THE SOCIAL FABRIC IN POST-CONFLICT ZONES IN COLOMBIA" SIGP CODE: 57579 WITH THE RESEARCH PROJECT "TEACHING STRENGTHENING FROM INFORMATIONAL MEDIA LITERACY AND CTEL, AS A DIDACTIC-PEDAGOGICAL STRATEGY AND SUPPORT FOR THE RECOVERY OF TRUST IN THE FABRIC SOCIAL AFFECTED BY THE CONFLICT "SIGP CODE 58950 FUNDED WITH THE COLOMBIA CIENTIFICA CALL, [CONTRACT NO FP44842-213-2018].
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE UNIVERSITY OF IOWA'S ACADEMIC TECHNOLOGY ADVISORY COMMITTEE, WHICH AWARDED A GRANT THAT ASSISTED WITH THE RESEARCH AND DEVELOPMENT OF ELEMENTS OF SUCCESS.
THIS RESEARCH WAS SUPPORTED BY THE FOLLOWING GRANTS JSPS 20K20131, 20H01722, 16H06304 AND SPIRITS 2020 OF KYOTO UNIVERSITY,
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. (1500195).
THIS STUDY IS SPONSORED BY PEAK DISCIPLINE CONSTRUCTION PROJECT OF EDUCATION AT EAST CHINA NORMAL UNIVERSITY.
THIS WORK WAS SUPPORTED BY A GRANT FROM THE NATIONAL RESEARCH FOUNDATION OF KOREA, FUNDED BY THE KOREAN GOVERNMENT (NRF-2013S1A5A2A03044140).
THIS STUDY WAS SUPPORTED BY THE ISRAEL MINISTRY OF EDUCATION, THE ISRAEL MINISTRY OF IMMIGRATION, AND THE OPEN UNIVERSITY RESEARCH FUND (GRANT NO. 507441).
THIS WORK WAS SUPPORTED BY THE BASQUE GOVERNMENT THROUGH ADIAN, UNDER GRANT IT980-16, AND BY MCIU/AEI/FEDER, UE, UNDER GRANT RTI2018-096846-B-C21.
THIS STUDY WAS FUNDED BY NATIONAL AGENCY FOR RESEARCH AND DEVELOPMENT (ANID)-SCHOLARSHIP PROGRAM/DOCTORADO NACIONAL 2015-21150985 AND SUPPORTED BY NATIONAL AGENCY FOR RESEARCH AND DEVELOPMENT (ANID)/FONDECYT-CHILE REGULAR PROJECT-1200206, ESCUELA DE INGENIERIA UC/INVESTIGACION EN PREGRADO (IPRE) 2019-1546 AND DIRECCION DE INVESTIGACION DE LA UNIVERSIDAD DE CUENCA (DIUC) UNDER THE PROJECT "ANALITICA DE APRENDIZAJE PARA EL ESTUDIO DE ESTRATEGIAS DE APRENDIZAJE AUTORREGULADO EN UN CONTEXTO DE APRENDIZAJE HIBRIDO" (DIUC_XVIII_2019_54).
WE WISH TO THANK DR. RYAN BAKER AND HIS LEARNING ANALYTICS LAB FOR THIS COLLABORATION AND PROVIDING THE PERFORMANCE DATA FROM HIS BIG DATA AND EDUCATION MOOC FROM THE UNIVERSITY OF PENNSYLVANIA. DAVID JOHN LEMAY WAS AWARDED A POSTDOCTORAL FELLOWSHIP (56-2019-0651) FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL, CANADA.
WE WOULD LIKE TO THANK PATRICK JERMANN FOR HELPING US TO PERFORM A PRE-EXPERIMENT. WE ARE GRATEFUL TO THE SWISS NATIONAL SCIENCE FOUNDATION FOR SUPPORTING THIS PROJECT THROUGH THE NATIONAL CENTRE OF COMPETENCE IN RESEARCH ROBOTICS.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANTS IIS-1247126, AND IIS-1528044. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF.
DR. AGUILAR HAS BEEN PARTIALLY SUPPORTED BY THE PROMETEO PROJECT OF THE MINISTRY OF HIGHER EDUCATION, SCIENCE, TECHNOLOGY AND INNOVATION (SENESCYT) OF THE REPUBLIC OF ECUADOR.
THE AUTHORS WOULD LIKE TO THANK THE PARTICIPANTS AND ORGANIZERS OF THE 2017 WORKSHOP ON GRAPH-BASED EDUCATIONAL DATA MINING [37] FOR THEIR FEEDBACK ON AN INITIAL VERSION OF THIS WORK, AS WELL AS THE MICHIGAN INSTITUTE FOR DATA SCIENCE (MIDAS) FOR FUNDING UNDER THE HOLISTIC MODELING OF EDUCATION (HOME) GRANT.
THIS WORK IS SUPPORTED AND CO-FUNDED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION UNDER THE PROJECT NUMBER 562236-EPP-1-2015-1-EL-EPPKA3-PI-FORWARD, PBL3.0. THE EUROPEAN COMMISSION SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS WORK WAS SUPPORTED BY AGE-WELL NCE INC., A MEMBER OF THE GOVERNMENT OF CANADA'S NETWORKS OF CENTRES OF EXCELLENCE PROGRAM.
THE AUTHORS THANK RI ROMANO OF MIT AND TOE OO ZAW OF SUTD FOR THEIR HELP IN COLLECTING THE DATA USED IN THE EXAMPLES. THIS WORK WAS SUPPORTED IN PART BY THE INTERNATIONAL DESIGN CENTER AS PART OF THE MIT-SUTD COLLABORATION.
THIS RESEARCH IS SUPPORTED BY THE SOUTH KOREAN MINISTRY OF SCIENCE, ICT AND FUTURE PLANNING THROUGH THE DEVELOPMENT OF TEACHING & LEARNING PLATFORM AND LEARNING ANALYTICS PROJECT (I0114-14-1016).
WE ACKNOWLEDGE THE INNOVATION AND TECHNOLOGY COMMISSION OF THE HKSAR GOVERNMENT FOR FUNDING THIS STUDY (INNOVATIVE TECHNOLOGY FUND, GRANT NUMBER ITS/206/15FP). WE ALSO THANK THE SIX MSC ITE STUDENTS AT HKU WHO HELPED TO PILOT THE LDS PATTERN LANGUAGE, AND THE INSTRUCTOR AND INSTRUCTIONAL DESIGNERS OF THE JAVA MOOC COURSE, FOR THEIR KIND SUPPORT TO THE STUDY. WE ARE ALSO GRATEFUL TO THE TWO ANONYMOUS REVIEWERS WHO GAVE VALUABLE FEEDBACK TO GUIDE THE REVISION. FINALLY, WE WOULD LIKE TO EXPRESS OUR DEEP APPRECIATION TO PROFESSOR PETER GOODYEAR AT THE UNIVERSITY OF SYDNEY FOR HIS INSIGHTFUL COMMENTS ON AN EARLIER VERSION OF THIS PAPER.
THIS RESEARCH IS CO-FUNDED BY THE ERASMUS+ PROGRAM OF THE EUROPEAN UNION (562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD). WE THANK KURT DE WIT, TINE OVERLOOP AND MAARTEN PINXTEN FOR THEIR ASSISTANCE AND ADVICE AND ICTS FOR PROVIDING THE TECHNICAL INFRASTRUCTURE TO SUPPORT THE DASHBOARD.
THIS WORK WAS SUPPORTED BY RESEARCH GRANTS NO. 562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD OF THE EUROPEAN COMISSION, TIN2014-53199-C3-1-R, TIN2015-66731-C2-1-R AND TIN2015-66731-C2-2-R OF THE MINISTRY OF ECONOMY AND COMPETITIVENESS, IT722-13 OF THE BASQUE GOVERNMENT, PPEII-2014-012A AND PPII11-0013-1219 OF THE CASTILLA - LA MANCHA GOVERNMENT, S2013/ICE-2715 OF THE REGIONAL GOVERNMENT OF MADRID, UFI11/45 OF THE BASQUE COUNTRY UNIVERSITY, 30VCPIGI15 OF THE UNIVERSIDAD REY JUAN CARLOS AND OBE05 OF THE FUNDACION CAJACANARIAS, AS WELL AS THE THEMATIC NETWORK CYTED 513RT0481.
THE WORK WAS SUPPORTED BY FUNDING FROM THE STIRLING ENHANCEMENT OF LEARNING FUND AND THE QUALITY ASSURANCE AGENCY 0003048.
WE THANK ABDEL-RAHMAN H. AHMED AND CINDY TIPPER FOR THEIR KIND HELP WITH THIS WORK. WE WOULD ALSO LIKE TO THANK THE PARTICIPATING TEACHERS AND STUDENTS. THIS WORK WAS FUNDED BY AN NSF GRANT TO THE PITTSBURGH SCIENCE OF LEARNING CENTER (NSF AWARD SBE083612), AND BY IES, THROUGH GRANT R305B150008 TO CMU. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT THE VIEWS OF THE NSF, IES, OR THE U.S. DEPARTMENT OF EDUCATION.
THIS WORK WAS SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF) GRANT FUNDED BY THE KOREA GOVERNMENT (MSIP) (NO. 2016015499). ALSO, THIS WORK WAS SUPPORTED BY RESEARCH PROJECTS FOR SENIOR RESEARCHERS THROUGH THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND NRF (NATIONAL RESEARCH FOUNDATION OF KOREA) (NO. 2017-2017008886).
OPEN ACCESS FUNDING PROVIDED THANKS TO THE CRUE-CSIC AGREEMENT WITH SPRINGER NATURE. THIS WORK WAS PARTIALLY FUNDED BY THE MADRID REGIONAL GOVERNMENT THROUGH THE E-MADRID-CM PROJECT UNDER GRANT S2018/TCS-4307, A PROJECT WHICH IS CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS (FSE AND FEDER). PARTIAL SUPPORT HAS ALSO BEEN RECEIVED FROM THE EUROPEAN COMMISSION THROUGH THE ERASMUS + STRATEGIC PARTNERSHIPS FOR HIGHER EDUCATION PROJECT TEASPILS (2020-1-ES01-KA203-082258). THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS AND FUNDERS CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THE AUTHOR'S RESEARCH IS SUPPORTED BY THE EXTENSION SCHOOL OF THE DELFT UNIVERSITY OF TECHNOLOGY.; THE AUTHOR'S RESEARCH IS SUPPORTED BY THE LEIDEN-DELFTERASMUS CENTRE FOR EDUCATION AND LEARNING.
THIS WORK HAS BEEN PARTIALLY SUPORTED BY THE UNIVERSITY OF PIRAEUS RESEARCH CENTRE AND BY THE GREEK SECRETARIAT OF RESEARCH AND TECHNOLOGY THROUGH A MATCHING FUNDS GRANT FOR PROJECT SAURON.
THIS RESEARCH IS SUPPORTED BY JOHN S DUNN RESEARCH FOUNDATION AND TT & WF CHAO CENTER FOR BRAIN. THE AUTHORS WOULD LIKE TO THANK OUR PHYSICIAN COLLABORATORS AND HOSPITAL IT COLLEAGUES AT THE HOUSTON METHODIST HOSPITAL DURING THE IMPLEMENTATION OF THE PRESENTED FRAMEWORK.
PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO.18H04125 AND NO. 16H06304 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE, AND TECHNOLOGY (MEXT) IN JAPAN.
THISWORK WAS SUPPORTED BY JST PRESTOGRANT NUMBER JPMJPR1505, AND JSPS KAKENHI GRAND NUMBER JP16H06304, JAPAN.
THIS WORK WAS FUNDED BY THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THIS PROJECT HAS BEEN FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION. THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHOR, AND THE COMMISSION AND THE AGENCY CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS STUDY WAS CARRIED OUT WITHIN IMEC'S SMART EDUCATION RESEARCH PROGRAM, WITH SUPPORT FROM THE FLEMISH GOVERNMENT.
THIS WORK IS FUNDED BY NSF AWARDS #1433838 AND #1325004.
THIS WORK HAS BEEN SUPPORTED THROUGH GRANTS BY THE GERMAN MINISTRY FOR EDUCATION AND RESEARCH AS BERLIN BIG DATA CENTER BBDC (FUNDING MARK 01IS14013A). AN EARLIER VERSION [1] OF THIS PAPER WAS PRESENTED AT ICDE 2016.
WE THANK THE CARL WIEMAN SCIENCE EDUCATION INITIATIVE AT THE UNIVERSITY OF BRITISH COLUMBIA, SUPPORTED IN PART BY A GENEROUS DONATION FROM PROFESSOR DAVID CHERITON (STANFORD UNIVERSITY), THAT FUNDED THIS WORK. WE WOULD ALSO LIKE TO THANK COSTANZA PICCOLO FOR FEEDBACK ON THE MANUSCRIPT, AND THE REVIEWERS FOR THEIR ADDITIONAL HELPFUL SUGGESTIONS.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE COUNCIL, TAIWAN UNDER PROJECT NUMBERS MOST-107-2511-H-224-007MY3 AND MOST-106-2511-S-224-005-MY3. THIS WORK WAS ALSO PARTIALLY SUPPORTED BY DOCTORAL FOUNDATION PROJECT, BUSINESS SCHOOL [GRANT NUMBER 4033/718011], SHANDONG UNIVERSITY OF TECHNOLOGY, CHINA.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), BY THE EUROPEAN COMMISSION (BEACONING H2020-ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259) AND BY THE TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES.
THIS WORK WAS PARTLY FUNDED BY THE ELEARN CENTER FROM THE UOC, THE SMARTLEARN AND SOM RESEARCH GROUPS, AND THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P "ICT-FLAG" (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION). SUBMITTED 10 JUNE 2016. PUBLISHED AS RESUBMITTED BY THE AUTHORS 13 AUGUST 2016.
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN COMMUNITY'S SEVENTH FRAMEWORK PROGRAMME (FP7/2007-2013) UNDER GRANT AGREEMENT NO 318499 - WESPOT PROJECT. KATRIEN VERBERT IS A POSTDOCTORAL FELLOW OF THE RESEARCH FOUNDATION FLANDERS (FWO).
THIS WORK WAS REALIZED IN THE COURSE OF THE INTERDISCIPLINARY PROJECT QUALILESO THAT IS FUNDED BY THE AUSTRIAN RESEARCH PROMOTION AGENCY (FFG). THEREBY THE DEPARTMENT OF SOCIOLOGY OF THE UNIVERSITY OF GRAZ COOPERATES WITH THE BUSINESS PARTNER WOHLHART LEARNING SOFTWARE IN ORDER TO ESTABLISH A QUALITY MANAGEMENT SYSTEM THAT INCLUDES LEARNING ANALYTICS ELEMENTS.
THIS WORK HAS BEEN SUPPORTED BY THE EUROPEAN DATA SCIENCE ACADEMY (EDSA) PROJECT, AND BY EIT DIGITAL, THE KNOWLEDGE AND INNOVATION COMMUNITY OF THE EUROPEAN INSTITUTE OF INNOVATION & TECHNOLOGY.
CMUP'S AUTHOR WAS PARTIALLY SUPPORTED BY CMUP (UID/MAT/00144/2013), WHICH IS FUNDED BY FCT (PORTUGAL) WITH NATIONAL (MEC) AND EUROPEAN STRUCTURAL FUNDS (FEDER), UNDER THE PARTNERSHIP AGREEMENT PT2020.
THIS PROJECT IS SUPPORTED BY GRANTS M4081917 AND M4081918 FROM THE CENTRE FOR RESEARCH AND DEVELOPMENT IN LEARNING AT NTU (CRADLE@NTU).
WE THANK OUR COLLEAGUES, LUCCA ELOY, CAROLINE REINHARDT, AND AMANDA MICHAELS, FOR THEIR HELP WITH DATA COLLECTION AND PROCESSING. THE WORK WAS SUPPORTED BY NATIONAL SCIENCE FOUNDATION (NSF DUE 1745442) AND INSTITUTE OF EDUCATION SCIENCES (IES R305A170432). ANY OPINIONS, FINDINGS AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE FUNDING AGENCIES.
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE ERASMUS+ PROGRAMME, KEY ACTION 2 STRATEGIC PARTNERSHIPS, OF THE EUROPEAN UNION UNDER GRANT AGREEMENT 2015-1-UK01-KA203-013767 ABLE PROJECT.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY GOOGLE CLOUD.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE REGIONAL GOVERNMENT OF MADRID (EMADRID S2018/TCS-4307, CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS FSE AND FEDER), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R) AND BY THE TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES.
THE PRESENTED RESULTS WERE FINANCIALLY SUPPORTED BY THE EU FP7 -TECHNOLOGY ENHANCED LEARNING PROGRAM, NO.: 619738 WITH THE ACRONYM PELARS - PRACTICE- BASED EXPERIENTIAL LEARNING ANALYTICS [1].
THIS WORK WAS SUPPORTED IN PART BY NSF IIS-1447788. THE GUEST EDITOR COORDINATING THE REVIEW OF THIS PAPER AND APPROVING IT FOR PUBLICATION WAS DR. RICHARD G. BARANIUK. (CORRESPONDING AUTHOR: NICHOLAS D. SIDIROPOULOS.)
WE WOULD LIKE TO THANK THE GOVERNMENT OF ARAGON, THE EUROPEAN SOCIAL FUND AND THE MINISTRY OF EDUCATION OF THE REGION OF CASTILLA-LEON FOR THEIR SUPPORT. FINALLY, THE AUTHORS WOULD LIKE TO EXPRESS THEIR GRATITUDE TO THE RESEARCH GROUPS (LITI, HTTP://WWW.LITI.ES; GIDTIC, HTTP://GIDTIC.COM AND GRIAL, HTTP://GRIAL.USAL.ES).
THE AUTHORS HAVE NO CONFLICT OF INTEREST. INITIAL FINDINGS FROM THIS STUDY WERE PRESENTED AT THE 8TH ANNUAL CONFERENCE OF THE AUSTRALIAN AND NEW ZEALAND ASSOCIATION OF CLINICAL ANATOMISTS AT DUNEDIN, NEW ZEALAND (2011). SUBSEQUENT RESULTS WERE PRESENTED AT THE 1ST INTERNATIONAL CONFERENCE ON EDUCATIONAL STUDIES AT JOHOR BAHRU, MALAYSIA (2015) AND THE 7TH ASIA PACIFIC CONGRESS OF CLINICAL ANATOMISTS AT SINGAPORE (2016). THE RESOURCE RECEIVED THE MEDICAL STUDENTS' ASSOCIATION AWARD FOR TEACHING INNOVATION IN 2011 AND THE UNIVERSITY OF OTAGO'S AWARD FOR ENHANCING TEACHING AND LEARNING WITH TECHNOLOGY IN 2014.
THE PAPER IS PART OF THE WORK SUPPORTED BY THE OFFICE OF NAVAL RESEARCH GRANT NO. N00014-15-1-2789.
THE RESEARCH THAT LED TO THESE RESULTS WAS FUNDED BY THE MINISTRY OF SCIENCE, RESEARCH AND THE ARTS OF THE FEDERAL STATE OF BADEN-WURTTEMBERG (GERMANY) AS PART OF THE FORDIGITAL RESEARCH ALLIANCE. PARTIAL FINANCIAL SUPPORT FOR THE STUDY WAS RECEIVED FROM THE EDU INSTITUTE OF HIGHER EDUCATION.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NO. 669074 AND 731685).
OPEN ACCESS FUNDING PROVIDED BY GRAZ UNIVERSITY OF TECHNOLOGY. THIS RESEARCH PROJECT IS SUPPORTED BY THE EUROPEAN COMMISSION ERASMUS + PROGRAMME IN THE FRAMEWORK OF THE PROJECT IDERBLOG UNDER GRANT VG-SPS-SL-14-001616-3. FOR MORE INFORMATION ABOUT THE IDERBLOG-PROJECT AND ITS PROJECT PARTNERS FROM GERMANY: GROS, M., ADOLPH, H., STEINHAUER, N. (LPM SAARLAND;)<SUP>12</SUP> BIERMEIER, S., ANKNER, L. (ALBERT-WEISGERBER-SCHULE, ST. INGBERT;)<SUP>13</SUP> FROM BELGIUM: HUPPERTZ, A., CORMANN, M. (GS RAEREN;)<SUP>14</SUP> FROM AUSTRIA: EBNER, M., TARAGHI, B., EBNER, M. (TU GRAZ;)<SUP>15</SUP> GABRIEL, S., WINTSCHNIG, M. (KPH WIEN/KREMS;)<SUP>16</SUP> ASPALTER, CH., MARTICH, S., ULLMANN, M. (PH WIEN;)<SUP>17</SUP> EDTSTADLER, K. (PH STEIERMARK,)<SUP>18</SUP> PLEASE VISIT THE WEBSITE: HTTP://IDERBLOG.EU/ (GERMAN LANGUAGE ONLY).
THE EFFORTS OF M. SCHEFFEL, H. DRACHSLER AND S. TERNIER HAVE PARTLY BEEN FUNDED BY THE ECO PROJECT (GRANT NO. 21127) AND THE LACE PROJECT (GRANT NO. 619424).
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (T1N2017-89238-R), BY THE EUROPEAN COMMISSION (ERASMUS+ IMPRESS 2017-1-NLO1-KA203035259).
THIS RESEARCH WAS SUPPORT IN PART BY A GRANT FROM THE RESEARCH COUNCIL OF NORWAY (NFR-FINNUT GRANT 283520 "TEACH21ST"). THE COUNCIL HAD NO ROLE IN THE DESIGN OR IMPLEMENTATION OF THE STUDY OR IN THE INTERPRETATION OR REPORTING OF RESULTS. THE FUNDERS HAD NO INVOLVEMENT IN OR INFLUENCE ON THE CONCEPTUALISATION, DESIGN OR REPORTING OF THE RESEARCH.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: PARTS OF THIS RESEARCH WERE FUNDED BY THE FORDHAM UNIVERSITY SCHOOL OF LAW AND THE UNIVERSITY OF MICHIGAN SCHOOL OF INFORMATION.
THIS STUDY WAS FUNDED BY THE KEY RESEARCH PROJECT OF EDUCATION SUPPORTED BY NATIONAL SOCIAL SCIENCE FOUNDATION OF CHINA, ACA170010.
THIS WORK WAS PARTLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S)16H06304 AND NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 17H01842.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE FELLOWSHIP 310060/2018-4 OF THE NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT -CNPQ, AND BY THE FELLOWSHIP 88882.347595/2019-01 OF THE HIGHER EDUCATION PERSONNEL IMPROVEMENT COORDINATION -CAPES, BRAZIL.
THIS RESEARCH WAS SUPPORTED BY NATIONAL SCIENCE FOUNDATION UNDER GRANT 1561676 AND THE CHINA SCHOLARSHIP COUNCIL UNDER GRANT 201806040180.
AUTHORS WISH TO THANK UNIVERSITY OF ZARAGOZA (VICERRECTORADO DE POLITICA ACADEMICA) FOR FINANCIAL SUPPORT THROUGH THE PROJECT PIIDUZ_17_324.
THIS RESEARCH PROJECT IS SUPPORTED BY THE EUROPEAN COMMISSION ERASMUS+ PROGRAM IN THE FRAMEWORK OF THE PROJECT IDERBLOG UNDER GRANT VG-SPS-SL-14-001616-3.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), BY THE EUROPEAN COMMISSION (BEACONING H2020-ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259).
THE WORK DESCRIBED IN THIS PAPER IS FULLY SUPPORTED BY THE GRANT FROM RESEARCH GRANTS COUNCIL OF THE HKSAR (REF.: UGC/FDS11/E02/15).
THIS RESEARCH IS PARTIALLY FUNDED BY GRANTS FROM THE SERBIAN MINISTRY OF EDUCATION AND SCIENCE, CONTRACT NOS. TR 32013 AND EU FUNDED, LIFELONG LEARNING PROGRAMME, PROJECT NUMBER-519141-LLP-1-2011-1-ES-KA3-KA3MP.
THIS PAPER WAS SUPPORTED IN PART BY THE ONLINE EDUCATION RESEARCH FUND OF THE MINISTRY OF EDUCATION (NO. 2016YB135).
THIS WORK WAS SUPPORTED BY NFSC UNDER GRANTS 61876039 AND 61571137, SHANGHAI PUJIANG PROGRAM (17PJ1400800), AND SHANGHAI INSTITUTE OF INTELLIGENT ELECTRONICS AND SYSTEMS.
THIS WORK HAS BEEN SUPPORTED BY VIETNAM NATIONAL UNIVERSITY, HANOI (VNU) UNDER PROJECT QG.20.57
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN UNION: INVESTITION IN UNSERE ZUKUNFT . EUROPAISCHER FONDS FUR REGIONALE ENTWICKLUNG.
THIS WORK IS PARTIALLY SUPPORTED BY A TEACHING DEVELOPMENT GRANT FROM THE UNIVERSITY OF HONG KONG.
THIS WORK HAS BEEN POSSIBLE BY THE SUPPORT OF THE ELEARN CENTER OF THE UOC AND THE FUNDING FOR THE PROJECT OF THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS WITH REFERENCE FFI2013-47126-P.
THIS WORK WAS SUPPORTED IN PART BY NSF(1447788, 1704074, 1757916, 1834251), ARMY RESEARCH OFFICE(W911NF1810344), INTEL CORP, AND THE DIGITAL TECHNOLOGY CENTER AT THE UNIVERSITY OF MINNESOTA. ACCESS TO RESEARCH AND COMPUTING FACILITIES WAS PROVIDED BY THE DIGITAL TECHNOLOGY CENTER AND THE MINNESOTA SUPERCOMPUTING INSTITUTE. HTTP://WWW.MSI.UMN.EDU
WE WOULD LIKE TO THANK THE PRINCIPLES OF MACROECONOMICS MOOC COORDINATOR NILSS OLEKALNS FOR PARTNERING WITH US. ALSO, WE WOULD LIKE TO THANK COLIN TATHAM AND SADIA NAWAZ FOR RETRIEVING THE DATA FROM THE COURSERA PLATFORM. THIS RESEARCH IS PART OF PAULA DE BARBA'S PHD PROGRAM, WHICH IS FUNDED BY THE UNIVERSITY OF MELBOURNE, THE MELBOURNE NETWORKED SOCIETY INSTITUTE AND THE SCIENCE OF LEARNING RESEARCH CENTRE, AUSTRALIA (SR120300015).
THIS WORK HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S SEVENTH FRAMEWORK PROGRAMME FOR RESEARCH, TECHNOLOGICAL DEVELOPMENT AND DEMONSTRATION UNDER GRANT AGREEMENTS NO. 610889 (FORGE).
THIS PROJECT WAS SUPPORTED THROUGH A DATA CONSORTIUM FELLOWSHIP (NSF 112-1549112). WE THANK MIKE TISSENBAUM AND MATTHEW BERLAND FOR CHOOSING OUR PROJECT TO RECEIVE A FELLOWSHIP. WE THANK DON DAVIS AND THE SONA TEAM FOR SUPPORT AND USE OF THE COUNSELING AND PSYCHOLOGICAL SERVICES RESEARCH PARTICIPANT SYSTEM. WE THANK MERRIN OLIVER FOR HER HELP WITH DATA COLLECTION.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANTS DUE 1347722 AND CMMI 1150490.
THIS WORK WAS PARTIALLY FUNDED BY FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES - AGENCIA ESTATAL DE INVESTIGACION/PROJECT SMARTLET (TIN2017-85179-C3-1-R), AND BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE PROJECT E-MADRID-CM (S2018/TCS-4307). THE LATTER IS ALSO CO-FINANCED BY THE STRUCTURAL FUNDS (FSE AND FEDER). THIS WORK RECEIVED ALSO PARTIAL SUPPORT BY MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES, UNDER AN FPU FELLOWSHIP (FPU016/00526).
THIS RESEARCH WORK IS FUNDING FROM THE METAEDUCATION PROJECT (2015{2018) WHICH IS SUPPORTED BY THE INVESTISSEMENT D'AVENIR PROGRAMME OF FRENCH GOVERNMENT.
THIS RESEARCH WAS CO-FUNDED BY THE SUPPORT OF THE SECRETARIA D'UNIVERSITATS I RECERCA OF THE DEPARTMENT OF BUSINESS AND KNOWLEDGE OF THE GENERALITAT DE CATALUNYA WITH THE HELP OF 2017 SGR 934.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304 AND JSPS KAKENHI RESEARCH ACTIVITY START-UP GRANT NUMBER 18H05746 (F.Y.2018), 19K20942 (F.Y.2019).
THIS WORK WAS SUPPORTED BY A PROJECT (SCB16036) FUNDED BY THE USDA CALIFORNIA DEPARTMENT OF FOOD AND AGRICULTURE (CDFA) SPECIALTY CROP BLOCK GRANT PROGRAM. RESEARCH CONDUCTED UNDER AGRICULTURAL EXPERIMENTAL STATION PROJECTS CA-D-PLS-2016-H TO PB AND CA-D-LAW-2296-H TO YJ.
THE GO-LAB PROJECT IS PARTIALLY FUNDED BY THE EUROPEAN UNION (GRANT AGREEMENT NO. 317601) UNDER THE INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) THEME OF THE 7TH FRAMEWORK PROGRAMME FOR R&D (FP7). THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EUROPEAN UNION, AND THE EUROPEAN UNION IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENT.
THIS RESEARCH IS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NO. 61703357) AND THE RESEARCH GRANTS COUNCIL OF THE HONG KONG S.A.R., CHINA (NO. HKU 17607018).
THIS RESEARCH WAS SUPPORTED BY A GRANT FROM MED-U. THE CONTENT IS SOLELY THE RESPONSIBILITY OF THE AUTHORS AND DOES NOT NECESSARILY REPRESENT THE OFFICIAL VIEW OF MED-U.
THIS WORK WAS FUNDED BY THE RCUK DIGITAL ECONOMY PROGRAMME. THE DIGITAL ECONOMY THEME IS A RESEARCH COUNCILS UK CROSS COUNCIL INITIATIVE LED BY EPSRC AND CONTRIBUTED TO BY AHRC, ESRC, AND MRC. THIS WORK WAS SUPPORTED BY THE EPSRC, GRANT NUMBER EP/G036926/1.
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF GRANT AWARD NUMBER 1522990).
THIS WORK WAS SUPPORTED IN PART BY THE U.S. NATIONAL SCIENCE FOUNDATION THROUGH GRANTS IIS-1455886 AND DUE-1833129, AND THE SCHLINDWEIN FAMILY TEL AVIV UNIVERSITY -NOTRE DAME RESEARCH COLLABORATION, UNITED STATES GRANT. HAOZHANG DENG, XUEMENG WANG, ZHIYI GUO, AND ASHLEY DECKER CONDUCTED THIS WORK AS AN UNDERGRADUATE RESEARCH PROJECT AT THE UNIVERSITY OF NOTRE DAME DURING SUMMER 2019. WE ALSO THANK THE FOLLOWING COLLABORATORS: J. DANIEL GEZELTER, KELLEY M. H. YOUNG, KEVIN BARRY, MARK GUNTY, AND CATLIN SCHALK.
PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANTS -INAID FOR SCIENTIFIC RESEARCH NOS. 21H00905 AND 18H04125 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN. WE WOULD LIKE TO THANK ALL THE PEOPLE WHO PREPARED AND REVISED PREVIOUS VERSIONS OF THIS DOCUMENT.
THIS RESEARCH IS PERFORMED IN THE FRAME OF COLLABORATION OF THE UNIVERSITY OF PATRAS WITH ONLINE PLATFORM MATHESIS.CUP.GR. SUPPLY OF MOOCS DATA, BY MATHESIS IS GRATEFULLY ACICNOWLEDGED. DOCTORAL SCHOLARSHIP "STRENGTHENING IIUMAN RESOURCES RESEARCH POTENTIAL VIA DOCTORATE RESEARCH 2ND CYCLE" (MIS -5000432), IMPLEMENTED BY THE STATE SCHOLARSHIPS FOUNDATION (IKY) IS ALSO GRATEFULLY ACKNOWLEDGED. THIS RESEARCH HAS ALSO BEEN PARTIALLY FUNDED BY THE SPANISH STATE RESEARCH AGENCY (AEI) UNDER PROJECT GRANTS TIN2014-53199-C3 -2-R AND TIN2017-85179-C3 -2-R, THE REGIONAL GOVERNMENT OF CASTILLA Y LEON GRANT VA082U16, THE EC GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA.
THIS PAPER IS PART OF AN INSTITUTIONAL RESEARCH MADE POSSIBLE THROUGH A GRANT (CODE: RF16IRA01) PROVIDED BY THE SINGAPORE UNIVERSITY OF SOCIAL SCIENCES, SINGAPORE.
THIS RESEARCH, 'GEOSPATIAL BIG DATA MANAGEMENT, ANALYSIS AND SERVICE PLATFORM TECHNOLOGY DEVELOPMENT', WAS SUPPORTED BY THE MOLIT(THE MINISTRY OF LAND, INFRASTRUCTURE AND TRANSPORT), KOREA, UNDER THE NATIONAL SPATIAL INFORMATION RESEARCH PROGRAM SUPERVISED BY THE KAIA(KOREA AGENCY FOR INFRASTRUCTURE TECHNOLOGY ADVANCEMENT)"(17NSIP-B081011-04)
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND, IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT NO. 669074 AND 731685).
THIS RESEARCH WAS SUPPORTED BY THE EUROPEAN UNION IN THE CONTEXT OF THE GO-LAB PROJECT (GRANT AGREEMENT NO. 317601) UNDER THE INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) THEME OF THE 7TH FRAMEWORK PROGRAM FOR R& D (FP7), A MARIE CURIE FELLOWSHIP WITHIN THE 7TH EUROPEAN COMMUNITY FRAMEWORK PROGRAM (MIOCTI, FP7-PEOPLE-2012IEF PROJECT NO. 327384), AND DUAL-T, A LEADING HOUSE FUNDED BY THE SWISS STATE SECRETARIAT FOR EDUCATION, RESEARCH AND INNOVATION (SERI).
THIS WORK HAS BEEN FINANCIALLY SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA UNDER GRANTS 61502195 AND 61772012, THE TECHNOLOGICAL INNOVATION PROJECTS OF HUBEI PROVINCE (MAJOR PROGRAM) UNDER GRANT 2017ACA105, THE NATURAL SCIENCE FOUNDATION OF HUBEI PROVINCE UNDER GRANTS 2018CFB691 AND 2017CFB504, THE SELF-DETERMINED RESEARCH FUNDS OF CCNU FROM THE COLLEGES' BASIC RESEARCH AND OPERATION OF MOE UNDER GRANTS CCNU16GD026 AND CCNU16A05022, AND THE NATURAL SCIENCE FOUNDATION OF ANHUI PROVINCE OF CHINA UNDER GRANT 1808085QF212.
THIS WORK WAS PARTLY FUNDED BY THE NATIONAL SCIENCE FOUNDATION (DRL-0918409, DRL-0946372, DRL-1247262, DRL-1418288, DRL1661036, DRL-1713110, DUE-0919347, DUE-1225885, EEC1232656, EEC-1340402, REC-0347000), THE MACARTHUR FOUNDATION, THE SPENCER FOUNDATION, THE WISCONSIN ALUMNI RESEARCH FOUNDATION, AND THE OFFICE OF THE VICE CHANCELLOR FOR RESEARCH AND GRADUATE EDUCATION AT THE UNIVERSITY OF WISCONSIN-MADISON. THE OPINIONS, FINDINGS, AND CONCLUSIONS DO NOT REFLECT THE VIEWS OF THE FUNDING AGENCIES, COOPERATING INSTITUTIONS, OR OTHER INDIVIDUALS.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION IN THE CONTEXT OF CEITER (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENT NO. 669074).
THIS RESEARCH WAS FUNDED BY THE BILL AND MELINDA GATES FOUNDATION AND THE MINISTRY OF SCIENCE AND TECHNOLOGY (MOST), TAIWAN, UNDER GRANT CONTRACT NO. 104-2918-I-018-008 AND 105-2511-S-018-015-MY5.
THIS RESEARCH WAS FUNDED BY A VENI GRANT AWARDED TO DR. MOLENAAR BY THE NETHERLANDS ORGANIZATION FOR SCIENTIFIC RESEARCH (PROJECT #45116-017). THE AUTHORS WOULD LIKE TO THANK THE SCHOOLS, TEACHERS AND STUDENTS FOR THEIR PARTICIPATION AND JORIEKE WILLEMS, RICK DIJKSTRA AND FRED HASSELMAN FOR THEIR SUPPORT IN THE DATA COLLECTION, PROCESSING AND ANALYSIS.
THIS WORK WAS PARTIALLY SUPPORTED BY DIUDA (DIRECCION DE INVESTIGACION DE LA UNIVERSIDAD DE ATACAMA) REGULAR PROJECT OF THE UNIVERSITY OF ATACAMA, NO. 22386 AND BY CORFO (CORPORACION DE FOMENTO DE LA PRODUCCION) PROJECT "NEW ENGINEERING 2030'' 14ENI2-26905, OF THE PONTIFICAL CATHOLIC UNIVERSITY OF VALPARAISO.
THE AUTHORS WOULD LIKE TO THANK PROFESSOR JOHN BACON-SHONE AND ASSOCIATE PROFESSOR JIANWEN FANG FOR THEIR KIND ADVICE ON PROCESSING THE SOCIAL NETWORK ANALYSIS. WITH THEIR HELP, THIS STUDY IS MORE COMPREHENSIVE IN UNDERSTANDING THE IMPACT OF GAMIFICATION ON ONLINE DISCUSSION. THIS STUDY IS SUPPORTED IN PART BY THE UNIVERSITY OF HONG KONG UNDER A TEACHING DEVELOPMENT GRANT (2014-2017). ASSOCIATE PROFESSOR KHE FOON HEW IS THE PRINCIPAL INVESTIGATOR OF THIS PROJECT.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 18K11588.
THIS STUDY IS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NSFC) "OPTIMAL DESIGN AND DATA ANALYSIS OF SEVERAL KINDS OF FACTOR TESTS" [GRANT NUMBER 11771250]; SHANDONG PROVINCIAL SOCIAL SCIENCE PLANNING AND MANAGEMENT OFFICE "EDUCATIONAL DECISION PLATFORM ARCHITECTURE SUPPORTED BY BIG DATA" [GRANT NUMBER 19CZKJ08]; SHANDONG PROVINCE QUALITY CORE CURRICULUM OF POSTGRADUATE EDUCATION "ADVANCED SOFTWARE ENGINEERING" [GRANT NUMBER SDYKC18079]; NATURAL SCIENCE FOUNDATION OF SHANDONG PROVINCE "SOCIAL CLOTHING RESEARCH ANDAPPLICATION OF DECISION-MAKING MECHANISM OF SERVICE RECOMMENDATION" [GRANT NUMBER ZR2016FM45].
THIS RESEARCH HAS BEEN FULLY FUNDED BY THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT 793317, AND PARTIALLY FUNDED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES UNDER PROJECT GRANTS TIN2017-85179-C3-2-R AND TIN2014-53199-C3-2-R, BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL MINISTRY OF EDUCATION OF CASTILE AND LEON UNDER PROJECT GRANT VA257P18, BY THE EUROPEAN COMMISSION UNDER PROJECT GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA.
THIS WORK WAS SUPPORTED IN PART BY ZOOMI, INC., UNDER GRANTS NSF CNS-1347234 AND ARO W911 NF-14-1-0190. THE GUEST EDITOR COORDINATING THE REVIEW OF THIS PAPER AND APPROVING IT FOR PUBLICATION WAS PROF. MIHAELA VAN DER SCHAAR. (CORRESPONDING AUTHOR: CHRISTOPHER G. BRINTON.)
THIS WORK WAS PARTIALLY SUPPORTED BY THE INSTITUTIONAL RESOURCES FOR RESEARCH BY THE CZECH TECHNICAL UNIVERSITY IN PRAGUE, CZECH REPUBLIC AND THE MINISTRY OF EDUCATION, YOUTH AND SPORTS FROM THE NATIONAL PROGRAMME OF SUSTAINABILITY (NPU II) PROJECT "IT4INNOVATIONS EXCELLENCE IN SCIENCE - LQ1602".
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS WORK WAS SUPPORTED BY THE ISRAEL MINISTRY OF EDUCATION, UNDER THE GRANT "INTEGRATING MATHEMATICAL APPLETS IN THE TEACHING SEQUENCE" AND THE AUTHORS ARE THANKFUL FOR THIS GENEROUS SUPPORT.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE GREAT SUPPORT AND FUNDING OF THIS PROJECT PROVIDED BY THE UNIVERSITY OF SOUTHERN QUEENSLAND THROUGH THE OFFICE FOR THE ADVANCEMENT OF LEARNING AND TEACHING AND THE EXCELLENT SUPPORT OF DR MEGAN AXELSEN (RESEARCH ASSISTANT).
THIS WORK HAS BEEN CARRIED OUT IN THE SCOPE OF THE H2020 SECURELOT PROJECT, WHICH IS FUNDED BY THE EUROPEAN COMMISSION IN THE SCOPE OF ITS 142020 PROGRAMME (CONTRACT NUMBER 779899). THE AUTHORS ACKNOWLEDGE VALUABLE HELP AND CONTRIBUTIONS FROM ALL PARTNERS OF THE PROJECT.
THIS RESEARCH WAS SUPPORTED BY COVENANT UNIVERSITY, NIGERIA. THE COMMENTS OF THE ANONYMOUS REVIEWERS ARE ALSO GREATLY APPRECIATED.
THE RESEARCH REPORTED HERE IS SUPPORTED BY THE CENTRE FOR RESEARCH AND DEVELOPMENT IN LEARNING, NANYANG TECHNOLOGICAL UNIVERSITY (CRADLE@NTU).THE RESEARCH TEAM WOULD ALSO LIKE TO THANK THE TEACHING STAFF AND STUDENTS WHO PARTICIPATED IN THIS STUDY.
THIS WORK WAS FUNDED IN PART BY THE NATIONAL SCIENCE FOUNDATION (DRL-0918409, DRL-0946372, DRL-1247262, DRL-1418288, DRL1661036, DRL-1713110, DUE-0919347, DUE-1225885, EEC1232656, EEC-1340402, REC-0347000), THE MACARTHUR FOUNDATION, THE SPENCER FOUNDATION, THE WISCONSIN ALUMNI RESEARCH FOUNDATION, AND THE OFFICE OF THE VICE CHANCELLOR FOR RESEARCH AND GRADUATE EDUCATION AT THE UNIVERSITY OF WISCONSIN-MADISON. THE OPINIONS, FINDINGS, AND CONCLUSIONS DO NOT REFLECT THE VIEWS OF THE FUNDING AGENCIES, COOPERATING INSTITUTIONS, OR OTHER INDIVIDUALS.
THIS PAPER WAS FUNDED BY THE DEANSHIP OF SCIENTIFIC RESEARCH (DSR), KING ABDULAZIZ UNIVERSITY, JEDDAH, UNDER GRANT NO. (15-611-D1432). THE AUTHORS, THEREFORE, ACKNOWLEDGE WITH THANKS DSR TECHNICAL AND FINANCIAL SUPPORT.
THIS WORK WAS EMBEDDED IN THE "INDUSTRIAL-ELAB" PROJECT AND IT IS PARTIALLY FUNDED BY THE GERMAN FEDERAL MINISTRY OF EDUCATION AND RESEARCH (FUNDING NUMBER 16DHL1033).
THIS WORK WAS SUPPORTED IN PART UNDER THE HOLISTIC MODELING OF EDUCATION (HOME) PROJECT FUNDED BY THE MICHIGAN INSTITUTE FOR DATA SCIENCE (MIDAS).
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20).
AUTHORS WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF THE ENMOLABS RESEARCH PROJECT FOR THE PERIOD 2019-2020 FROM UNED; ANOTHER PROJECT FOR THE PERIOD 2017-2018 FROM THE COMPUTER SCIENCE ENGINEERING SCHOOL (ETSI INFORMATICA) IN UNED; AND THE REGION OF MADRID FOR THE SUPPORT OF E-MADRID-CM NETWORK OF EXCELLENCE (S2018/TCS-4307). THE AUTHORS ALSO ACKNOWLEDGE THE SUPPORT OF SNOLA, OFFICIALLY RECOGNIZED THEMATIC NETWORK OF EXCELLENCE (TIN2015-71669-REDT) BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS.
WE WANT TO ACKNOWLEDGE SUPPORT FROM THE MIT-SPAIN ''LA CAIXA'' FOUNDATION SEED FUND AND THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACI\'ON PROGRAM (FJCI-2017-34926).
THIS RESEARCH IS SUPPORTED BY A SSHRC STANDARD RESEARCH GRANT [435-2012-0529] AWARDED TO A.F. HADWIN AND A SSHRC MASTER'S GRANT AWARDED TO R.L. EDWARDS.
THIS WORK WAS CO-FUNDED BY THE ERASMUSTHORNPROGRAMME OF THE EUROPEAN UNION (562167EPP-1-2015-1-BE-EPPKA3-PI-FORWARD).
THIS RESEARCH IS PART OF THE LEADING HOUSE DUAL-T, A RESEARCH PROJECT FUNDED BY THE SWISS STATE SECRETARIAT FOR EDUCATION, RESEARCH AND INNOVATION (SERI).
THIS WORK WAS PARTIALLY FUNDED BY: THE SPANISH COMPETITIVENESS AND ECONOMY MINISTRY THROUGH PROJECTS "RESET-UC3M: REFORMULANDO ECOSISTEMAS ESCALABLES EDUCATIVOS" (TIN-2014-53199-C3-1-R) AND "HERMES-SMARTDRIVER. CONDUCCION EFICIENTE Y PROCESAMIENTO SEMANTIC DE LA INFORMACION" (TIN2013-46801-C4-2-R); AND BY THE COMMUNITY OF MADRID THROUGH ITS REGIONAL PROJECT "EMADRID" (S2013/ICE-2715).
THIS WORK HAS BEEN SUPPORTED BY THE HUBBLE PROJECT (ANR-14CE24-0015).
THIS WORK WAS FUNDED BY A UNIVERSITY OF SURREY ACCESS GRANT.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE PROF. DR. DR. HERIBERT POPP, PROF. DR. CEZAR IONESCU, DR. ALI FALLAH TEHRANI TANYA MARIN-WEIGELT, JULIANE BREIT AND KATHRIN AUER FROM DIT, AND PROF. DR. ENG. DAN STOICHESCU FROM UPB FOR THEIR VALUABLE SUPPORT. I WOULD LIKE TO EXPRESS MY GRATITUDE TO MSC. LEON BINDER, AND ALL PARTICIPANT DIT STUDENTS. FURTHERMORE, THE PROJECT "DIGITAL KNOWLEDGE MANAGEMENT" OF THE BAVARIAN MINISTRY OF CULTURE AND THE "SMART VHB" PROJECT OF THE "VIRTUAL UNIVERSITY OF BAVARIA" FOR FUNDING THIS RESEARCH.
THIS WORK WAS SUPPORTED BY THE GALICIAN REGIONAL GOVERNMENT UNDER PROJECTS ED431B 2017/67 AND ED431D 2017/12.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE FP7 2008-212578 LTFLL PROJECT, BY THE 644187 EC H2020 RAGE PROJECT, AS WELL AS BY UNIVERSITY POLITEHNICA OF BUCHAREST THROUGH THE "EXCELLENCE RESEARCH GRANTS" PROGRAM UPB GEX 12/26.09.2016.
THE AUTHORS WOULD LIKE TO THANK THE UNIVERSITY GRANTS COMMITTEE OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION AND HONG KONG BAPTIST UNIVERSITY FOR FUNDING THIS PROJECT. WE WOULD ALSO LIKE TO EXPRESS OUR GRATITUDE AND APPRECIATION TO OUR PROJECT COLLABORATORS IN THE THREE PARTNER INSTITUTIONS, THE CHINESE UNIVERSITY OF HONG KONG, THE EDUCATION UNIVERSITY OF HONG KONG, AND THE HONG KONG POLYTECHNIC UNIVERSITY. A SPECIAL VOTE OF THANKS SHOULD BE REGISTERED FOR MS GRACE NG, DR. ISAAC CHAN, MISS ERICA ZHONG AND MR REX CHIU OF THE CENTRE FOR HOLISTIC TEACHING AND LEARNING AT HKBU FOR THEIR SUPPORT IN THIS PROJECT AND IN THE PREPARATION OF THIS MANUSCRIPT.
THIS WORK WAS FUNDED BY MCMASTER INSTITUTE FOR RESEARCH ON AGING (MIRA) AND MACDATA INSTITUTE.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) OF THE UNITED STATES UNDER GRANT NUMBERS 1512868, 1348530 AND 1503196. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER, HOWEVER, ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF. THE AUTHORS ARE INDEBTED TO JOYCE MASSICOTTE, ELENA SEREIVIENE, JIE CHAO, XUDONG HUANG, AND COREY SCHIMPF FOR ASSISTANCE AND SUGGESTIONS.
THIS WORK IS CO-FUNDED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION. PROJECT: STELA 62167-EPP-1-2015-BE-EPPKA3-PI-FORWARD.; THE AUTHOR'S RESEARCH IS SUPPORTED BY THE LEIDEN-DELFT-ERASMUS CENTRE FOR EDUCATION AND LEARNING.; THE AUTHOR'S RESEARCH IS SUPPORTED BY THE EXTENSION SCHOOL OF THE DELFT UNIVERSITY OF TECHNOLOGY.
THIS STUDY IS FUNDED BY JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE (JSPS) GRANT NUMBER: JP19H01716, 16H06304, JST AIP GRANT NO. JPMJCR19U1.
THIS WORK HAS BEEN SUPPORTED BY THE "EMADRID" PROJECT (REGIONAL GOVERNMENT OF MADRID) UNDER GRANT S2013/ICE-2715, THE "RESET" PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT TIN2014-53199-C3-1-R, THE IRENE PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT PT-2012-1036-370000 AND THE EUROPEAN ERASMUS+ SHEILA PROJECT UNDER GRANT 562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD.
THIS WORK HAS BEEN PARTIALLY FUNDED BY UNIVERSITY POLITEHNICA OF BUCHAREST, THROUGH THE "EXCELLENCE RESEARCH GRANTS" PROGRAM, UPB - GEX. IDENTIFIER: UPB-EXCELEN.A-2016 "CONSTRUIREA SI EXPLOATAREA PROFILULUI UTILIZATORILOR IN MEDII DE INVATARE VIRTUALE: METODE, IMPLICATII PSIHOSOCIALE SI CONSECINTE UTILIZAND TEHNICI DE ANALIZA AVANSATA A DATELOR - LEPROVE (LEARNING PROFILING IN VIRTUAL ENVIRONMENTS)", CONTRACT NUMBER 83/26.09.2016, CODE 303. (LEPROVE).
THIS WORK WAS PARTLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) 16H06304, NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0, HACETTEPE UNIVERSITY SCIENTIFIC RESEARCH PROJECTS COORDINATION CENTER GRANT NUMBER SBI-2017-16268 AND JSPS KAKENHI RESEARCH ACTIVITY START-UP GRANT NUMBER 18H05746.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE INTUITEL PROJECT (FP7/2007-2013, GRANT AGREEMENT: 318496) AND EEE: ORQUESTANDO ESPACIOS EDUCATIVOS ESPECULARES, "PLAN NACIONAL DE I+D+I" (TIN2011-28308-C03-03).
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE COUNCIL, TAIWAN, UNDER GRANTS NSC 102-2511-S-008-013-MY3.
THIS RESEARCH PROJECT WAS FULLY SPONSORED BY HIGHER EDUCATION DEVELOPMENT CENTRE, UNIVERSITY OF OTAGO, NEW ZEALAND.
THIS WORK IS SUPPORTED BY THE AUSTRIAN SCIENCE FUND (FWF) TCS-034 PROJECT, THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 669074 AND BY THE KNOW-CENTER. THE KNOW-CENTER IS FUNDED WITHIN THE AUSTRIAN COMET PROGRAM - COMPETENCE CENTERS FOR EXCELLENT TECHNOLOGIES. WE ARE GRATEFUL FOR THE HELP OF HELENA FLEMMING, KEVIN HARKIM AND MARCEL JUD IN THE REALIZATION OF THE SCHOOL WORKSHOPS, AND THE PROJECTS MILES AND HELI-D FUNDED THE GESUNDHEITSFOND STEIERMARK.
THIS STUDY WAS PARTIALLY SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY (MOST-105-2634-F-007-001) AND SMALL BUSINESS INNOVATION RESEARCH (SBIR) OF THE MINISTRY OF ECONOMIC AFFAIRS (1Z1050816)
NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA, GRANT/AWARD NUMBER: 61907038; THE 2021 UNIVERSITY-LEVEL EDUCATIONAL REFORMATION RESEARCH PROJECT FOR UNDERGRADUATE EDUCATION, ZHEJIANG UNIVERSITY, GRANT/AWARD NUMBER: ZDJG21033
OUR THANKS TO THE STUDENTS AND INSTRUCTORS INVOLVED IN STATS 101. SUPPORT FOR THIS RESEARCH WAS PROVIDED BY THE LEARNING, EDUCATION, AND DESIGN LAB, THE DIGITAL INNOVATION GREENHOUSE AND THE OFFICE OF ACADEMIC INNOVATION AT THE UNIVERSITY OF MICHIGAN. WE WOULD LIKE TO ACKNOWLEDGE THE SUPPORT AND FEEDBACK WE RECEIVED FROM DR. PATRICIA CHEN, HOLLY DERRY, DR. BRENDA GUNDERSON, BEN HAYWARD, AND DR. TIMOTHY MCKAY.
THIS RESEARCH WAS FINANCED BY SPANISH FUNDS OF THE MINISTRY OF ECONOMY AND COMPETITIVITY, WITHIN PROJECT "SIMPLIFY: SOLUCION ANALITICO-COGNITIVA PARA LA PERSONALIZACION DEL APRENDIZAJE EN EL AULA DIGITAL" (RTC-2015-4329-7), THROUGH "CONVOCATORIA RETOS - COLABORACION". ADDITIONALLY, IT WAS FINANCED BY THE GALICIAN INNOVATION AGENCY OF THE MINISTRY OF ECONOMY, EMPLOYMENT AND INDUSTRY (XUNTA DE GALICIA), THROUGH "PROGRAMA UNIDADES MIXTAS DE INVESTIGACION 2016" AND CO-FINANCED BY FEDER FUNDS THROUGH "PROGRAMA OPERATIVO FEDER GALICIA 2014-2020" WITHIN THE PROJECT "SMART LIFELONG LEARNING PARA LA INDUSTRIA DEL FUTURO Y LA SOCIEDAD DEL CONOCIMIENTO" (IN853A-2016/03), THROUGH "PROGRAMA UNIDADES MIXTAS DE INVESTIGACION 2016".
THIS RESEARCH WAS KINDLY SUPPORTED BY AN UTS FEIT BLUE SKIES INTERNAL GRANT.
THE AUTHORS WOULD LIKE TO THANK THE PARTICIPATING SCHOOLS FOR THEIR COLLABORATION. THIS WORK WAS SUPPORTED BY THE GESUNDHEITSFONDS STEIERMARK PROJECT HELI-D AND THE KNOW-CENTER GMBH (FFG COMET PROGRAM).
THIS RESEARCH WAS MADE POSSIBLE THROUGH SSHRC FUNDING 895-2011-1006, LEARNING ACROSS THE DISCIPLINES AND CANADIAN RESEARCH CHAIR FUNDING ON ADVANCED TECHNOLOGIES IN AUTHENTIC SETTINGS 950-223504 950-231835.
THIS WORK HAS BEEN SUPPORTED BY THE NSF WIDER GRANT DUE-1347697 FOR THE REBUILD PROJECT, BY NSF TUES GRANT DUE-1245127, AND BY THE UNIVERSITY OF MICHIGAN PROVOST'S LEARNING ANALYTICS TASK FORCE THROUGH THE LEARNING ANALYTICS FELLOWS PROGRAM. WE THANK KAR EPKER FOR PRELIMINARY WORK WHICH INSPIRED THE DIVERSITY ANALYSIS. WE ALSO THANK THE U-M REGISTRAR PAUL ROBINSON, THE OFFICE OF THE REGISTRAR, U-M CIO LAURA PATTERSON, AND ALL THE STAFF AT THE U-M INFORMATION TECHNOLOGY SERVICES DIVISION FOR BOTH MAINTAINING AND SUPPORTING ACCESS TO THIS REMARKABLE DATA SET. FINALLY, WE ACKNOWLEDGE THE IMPORTANT CONTRIBUTIONS OF FORMER U-M PROVOST PHIL HANLON AND CURRENT U-M PROVOST MARTHA POLLACK. THEIR STRONG ADVOCACY OF APPROPRIATE RESEARCH USING STUDENT RECORD DATA HAS MADE LEARNING ANALYTICS AT MICHIGAN POSSIBLE. THIS RESEARCH HAS BEEN DETERMINED EXEMPT FROM HUMAN SUBJECTS CONTROL UNDER EXEMPTION #1 OF THE 45 CFR 46.101.(B) BY THE U-M INSTITUTIONAL RESEARCH BOARD (HUM00079609).
THIS PROJECT WAS PARTIALLY SUPPORTED BY YIBIN SCI-TECH GRANT 2018ZSF001, YIBIN SCI-TECH GRANT 2019GY001 AND MAJOR SCIENCE, GRANT: JSEB-201303 OF E-COMMERCE KEY LAB OF JIANGSU PROVINCE.
THIS WORK WAS SUPPORTED BY THE MACAU SCIENCE AND TECHNOLOGY DEVELOPMENT FUND (GRANT NUMBER: 0027/2018/A1).
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 17H01842.
THIS WORK WAS PARTIALLY FUNDED BY: THE MADRID REGIONAL GOVERNMENT (COMUNIDAD DE MADRID), THROUGH THE EMADRID NETWORK (S2013/ICE-2715); BY THE SPANISH MINISTRY OF COMPETITIVENESS AND ECONOMY, THROUGH PROJECTS RESET (TIN2014-53199-C3-1-R) AND AUDACITY (TIN2016-77158-C4-1-R) AND THROUGH THE THEMATIC NETWORK OF EXCELLENCE, SNOLA (TIN2015-71669-REDT); AND BY THE EUROPEAN COMMISSION, THROUGH ERASMUS+ PROJECTS MOOC-MAKER (561533-EPP-1-2015-1-ESEPPKA2-CBHE-JP), SHEILA (562080-EPP-1-2015-1-BEEPPKA3-PI-FORWARD), COMPASS (2015-1-EL01-KA203-014033), AND COMPETEN-SEA (574212-EPP-1-2016-1-NL-EPPKA2-CBHE-JP).
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION (GRANT AGREEMENT NOS. 731685 AND 669074).
THIS STUDY IS SUPPORTED IN PART BY THE MINISTRY OF SCIENCE AND TECHNOLOGY OF THE REPUBLIC OF CHINA UNDER CONTRACT NUMBERS NSC 102-2511-S-011 -007 -MY3 AND MOST 1042511-S-011-001-MY2.
GIANPAOLO ALVARI IS SUPPORTED BY THE FBK PROGRAM FELLOWSHIP (DSH RESEARCH UNIT). DATA COLLECTION AND INITIAL ANALYSIS OF THIS STUDY WERE DEVELOPED IN FULFILLMENT OF THE MSC DISSERTATION. WE GRATEFULLY ACKNOWLEDGE THE FAMILIES PARTICIPATING IN OUR RESEARCH AND ALL THE CLINICAL PSYCHOLOGISTS AND PSYCHOTHERAPISTS OF ODFLAB.
THE WORK WAS FUNDED BY THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THIS PROJECT WAS FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION. THIS PUBLICATION REFLECTS ONLY THE VIEWS OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304 AND JSPS KAKENHI RESEARCH ACTIVITY START-UP GRANT NUMBER 18H05746.
THE NEXT-TELL PROJECT WAS SUPPORTED BY THE EUROPEAN COMMUNITY (EC) UNDER THE INFORMATION SOCIETY TECHNOLOGY PRIORITY OF THE 7TH FRAMEWORK PROGRAMME FOR R&D, CONTRACT NO 258114 NEXT-TELL. THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EC AND THE EC IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENT.
THIS RESEARCH WAS SUPPORTED WITH A GRANT FROM THE ECONOMIC AND SOCIAL RESEARCH COUNCIL [REF: ES/L001160/1]: HTTPS://CODEACTSINEDUCATION.WORDPRESS.COM/
COB WAS SUPPORTED BY AN UNDERGRADUATE RESEARCH AWARD FROM THE DEPARTMENT OF CHEMISTRY AND BIOCHEMISTRY AT BRIGHAM YOUNG UNIVERSITY.
THE AUTHOR'S RESEARCH IS SUPPORTED BY THE LEIDEN-DELFT-ERASMUS CENTRE FOR EDUCATION AND LEARNING
THE SPANISH NATIONAL RESEARCH AGENCY (AEI) FUNDED THIS RESEARCH THROUGH THE PROJECT CREPES (REF. PID2020-115844RB-I00) WITH ERDF FUNDS.
THIS WORK WAS SUPPORTED BY JST AIP GRANT NUMBER JPMJCR19U1, AND JSPS KAKENHI GRAND NUMBER JP18H04125, JAPAN
THE MOBILE TEACHER PROJECT (2015-2017) IS FUNDED BY THE FINNISH MINISTRY OF EDUCATION AND CULTURE.
IN ADDITION, THE EDITORS ACKNOWLEDGE THAT THIS RESEARCH WAS PARTIALLY SUPPORTED BY BOTH THE EUROPEAN COMMISSION UNDER THE COLLABORATIVE PROJECT "ALICE" (ADAPTIVE LEARNING VIA INTUITIVE/INTERACTIVE, COLLABORATIVE AND EMOTIONAL SYSTEM), VII FRAMEWORK PROGRAMME, THEME ICT-2009.4.2 (TECHNOLOGY-ENHANCED LEARNING), GRANT AGREEMENT N. 257639, AND THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P "ICT-FLAG" (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION).
THE WORK PRESENTED IN THIS PAPER WAS CARRIED OUT IN THE CONTEXT OF THE ODEDU PROJECT, WHICH IS FUNDED BY THE EUROPEAN COMMISSION WITHIN THE ERASMUS + PROGRAMME UNDER GRANT AGREEMENT NO. 562604. OUR THANKS TO METTE SKOV AND HEILYN CAMACHO FOR THE HELP THEY HAVE GIVEN US THROUGHOUT ALL STAGES OF THIS RESEARCH. WE WOULD LIKE TO ACKNOWLEDGE E-LEARNING LABORATORY AT AALBORG UNIVERSITY FOR GIVING US THE OPPORTUNITY TO WRITE THIS PAPER.
THIS STUDY WAS SUPPORTED BY RESEARCH FUND FROM HONAM UNIVERSITY, 2017.
THIS WORK WAS SUPPORTED IN PART BY THE MICHIGAN INSTITUTE OF DATA SCIENCE (MIDAS) LEARNING ANALYTICS CHALLENGE INITIATIVE.
THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S EU FRAMEWORK PROGRAMME FOR RESEARCH AND INNOVATION HORIZON 2020 UNDER GRANT AGREEMENT NO 812716. THIS PUBLICATION REFLECTS ONLY THE AUTHORS' VIEW EXEMPTING THE COMMUNITY FROM ANY LIABILITY. PROJECT WEBSITE: HTTPS://CHARMINGETN.EU/. SPECIAL THANKS TO THE CHARMING SUPERVISORY BOARD FOR THEIR HELP IN THE PUBLICATION PROCESS.
THIS WORK WAS SUPPORTED BY THE NATIONAL KEY TECHNOLOGY RESEARCH AND DEVELOPMENT PROGRAM (GRANT NO. 2014BAH22F01). WE WOULD LIKE TO THANK ANONYMOUS REVIEWERS FOR THEIR CONSTRUCTIVE COMMENTS, AND THANK DR. ZHIZHONG ZENG FOR HELPFUL DISCUSSIONS.
RESEARCH COUNCIL OF NORWAY, GRANT/AWARD NUMBER: 255129/H20
THIS RESEARCH WAS SUPPORTED IN PART BY PARAMOUNT COMPUTER SYSTEMS AND LAKHSHYA CYBER SECURITY LABS PVT LTD. WE ARE GRATEFUL TO COMPUTATIONAL ENGINEERING AND NETWORKING (CEN) DEPARTMENT FOR ENCOURAGING THE RESEARCH.
THE AUTHORS WOULD LIKE TO THANK THE UNIVERSITI TEKNOLOGI MALAYSIA (UTM) AND MINISTRY OF HIGHER EDUCATION (MOHE) MALAYSIA FOR THEIR SUPPORT IN MAKING THIS PROJECT POSSIBLE. THIS WORK WAS SUPPORTED BY THE MATCHING RESEARCH UNIVERSITY GRANT (Q.J130000.3010.00M68) INITIATED BY UTM AND MOHE.
THIS WORK HAS BEEN DONE IN THE CONTEXT OF THE PROJECT "MYUNIVERSITY: DECISION MAKING FOR A UNITED HIGHER EDUCATION" (CIP)-(CIP-ICT PSP-2009-3BIS) SUPPORTED BY THE EUROPEAN UNION WITH THE PROGRAMME "INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) OF THE COMPETITIVENESS AND INNOVATION FRAMEWORK". THE AUTHORS WISH TO CORDIALLY THANK THE SUPPORT AND KNOWLEDGE SHARED BY ALL THE MEMBERS INTEGRATING THE MYUNIVERSITY TEAMS. THEY ARE ALSO GRATEFUL TO PROMETEO PROJECT OF THE ECUADORIAN GOVERNMENT FOR THE OPPORTUNITY GIVEN TO EXPLORE FUTURE DEVELOPMENTS.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE 644187 RAGE H2020-ICT-2014 PROJECT. THE AUTHORS ARE THANKFUL TO LUCIA LARISE STAVARACHE FOR HER CONTRIBUTION TO DATA COLLECTION.
THIS RESEARCH WAS SUPPORTED BY FONDS DE RECHERCHE DU QUEBEC NATURE ET TECHNOLOGIES (FQRNT) POST-DOCTORAL FELLOWSHIP AND BY NATIONAL SCIENCE FOUNDATION (NSF) [GRANT NUMBER SBE-0836012].
ROBERTO MARTINEZ-MALDONADO'S RESEARCH IS PARTLY FUNDED BY JACOBS FOUNDATION.
WE THANK DALE FITCH, BETH GLOVER REED, TINA LOUISE, AND ALL OF THE INSTRUCTORS WHO ALLOWED US TO EXPLORE THIS ISSUE WITH THEIR STUDENTS. THIS WORK WAS SUPPORTED IN PART BY THE MICHIGAN INSTITUTE OF DATA SCIENCE (MIDAS) LEARNING ANALYTICS CHALLENGE INITIATIVE.
THIS RESEARCH WAS FUNDED IN PART BY NSF GRANTS ACI-1443068 AND IIS 1546393 AND FUNDING FROM THE SCHMIDT FOUNDATION.
THIS WORK WAS SUPPORTED IN PART BY THE UNIVERSIDAD NACIONAL DE EDUCACION A DISTANCIA (UNED) UNDER GRANT GID2017-1(2019).
THE AUTORS WOULD LIKE TO ACKNOWLEDGE THE FINANCIAL SUPPORT OF TECLABS, TECNOLOGICO DE MONTERREY, MEXICO, IN THIS RESEARCH. ALSO WE THANK ARTURO RODRIGUEZ -LOPEZ FOR ASSISTANCE WITH THE TRANSLATION AND PROOFREADING OF THE MANUSCRIPT.
H.C.-R. WAS SUPPORTED BY DIUDA-REGULAR PROJECT OF THE UNIVERSIDAD DE ATACAMA. GRANT NUMBER: 22386.
OUR THANKS TO THE GUIDANCE COUNSELORS WHO PARTICIPATED IN OUR CODESIGN PROCESS AND TO THE NSF (AWARD #DRL-1031398) FOR SUPPORTING THIS PROJECT.
THIS RESEARCH WAS FUNDED BY THE EUROPEAN COMMISSION UNDER THE ERASMUS+ PROGRAMME 2018, KA2, GRANT NUMBER: 2018-1-SK01-KA203-046382 "WORK-BASED LEARNING IN FUTURE IT PROFESSIONALS EDUCATION" AND THE CULTURAL AND EDUCATIONAL AGENCY OF THE MINISTRY OF EDUCATION OF THE SLOVAK REPUBLIC, GRANT NUMBER: KEGA029UKF-4/2018 "INNOVATIVE METHODS IN PROGRAMMING EDUCATION IN THE UNIVERSITY EDUCATION OF TEACHERS AND IT PROFESSIONALS".
THIS RESEARCH WAS PARTIALLY SUPPORTED BY DIRECCION DE INVESTIGACION DE LA UNIVERSIDAD DE CUENCA (DIUC), CUENCA-ECUADOR, UNDER THE PROJECT "ANALITICA DEL APRENDIZAJE PARA EL ESTUDIO DE ESTRATEGIAS DE APRENDIZAJE AUTORREGULADO EN UN CONTEXTO DE APRENDIZAJE HIBRIDO" (DIUC_XVIII_2019_54).
THIS PAPER WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 26350311.
THE FIRST AUTHOR ACKNOWLEDGES THE SUPPORT OF THE SWISS NATIONAL SCIENCE FOUNDATION THROUGH THE MODERN SINERGIA PROJECT (WWW.IDIAP.CH/PROJECT/MODERN).
THIS WORK IS SUPPORTED BY THE "FLOWER OF HAPPINESS" PILOT RESEARCH FUND FROM EAST CHINA NORMAL UNIVERSITY [GRANT NUMBER 2019ECNU-XFZH014] AND THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA [GRANT NUMBER 61977023].
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION THROUGH GRANT 1416781 AND THE CHENG YU TUNG RESEARCH INNOVATION FUND. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT VIEWS OF THE NATIONAL SCIENCE FOUNDATION.
KING KHALID UNIVERSITY PROVIDED FINANCIAL SUPPORT FOR THIS RESEARCH UNDER GRANT NUMBER 239, 2019.
THE INFORMATION FROM THIS PAPER WAS OBTAINED IN THE FRAMES OF:; SALEIE -STRATEGIC ALIGNMENT OF ELECTRICAL AND INFORMATION ENGINEERING IN EUROPEAN HIGHER EDUCATION INSTITUTIONS, 527877-LLP-1-2012.; PELARS -PRACTICE-BASED EXPERIENTIAL LEARNING ANALYTICS RESEARCH AND SUPPORT, FP7-ICT-2013-11.; ARACIS - 2017 ANALYSING REPORT REGARDING THE QUALITY EVALUATION, ISBN 978-973-0-24447-2
THIS RESEARCH IS A PART OF JEANETTE SAMUELSEN'S PHD FUNDED BY THE CENTRE FOR THE SCIENCE OF LEARNING & TECHNOLOGY (SLATE), UNIVERSITY OF BERGEN, NORWAY.
THERE ARE NO CONFLICTS OF INTEREST TO DECLARE, THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER AND NEXT-LAB (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENTS NOS. 669074 AND 731685).
THIS WORK WAS SUPPORTED BY GRANT AGENCY OF THE MASARYK UNIVERSITY, PROJECT CALLED LIFELONG LEARNING IN INSTITUTIONAL CONTEXTS [GRANT NUMBERS MUNI/A/1147/2015]; FACULTY OF ARTS, MASARYK UNIVERSITY [GRANT NUMBERS 0540/211400].
THE AUTHORS WISH TO THANK UNIVERSITI TEKNOLOGI MALAYSIA (UTM) UNDER RESEARCH UNIVERSITY GRANT VOT-20H04, MALAYSIA RESEARCH UNIVERSITY NETWORK (MRUN) VOT 4L876 AND THE FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS) VOT 5F073 SUPPORTED UNDER MINISTRY OF EDUCATION MALAYSIA FOR THE COMPLETION OF THE RESEARCH. THE WORK IS PARTIALLY SUPPORTED BY THE SPEV PROJECT, UNIVERSITY OF HRADEC KRALOVE, FIM, CZECH REPUBLIC (ID: 2103-2019), "SMART SOLUTIONS IN UBIQUITOUS COMPUTING ENVIRONMENTS". WE ARE GRATEFUL FOR THE SUPPORT OF STUDENT SEBASTIEN MAMBOU AND MICHAL DOBROVOLNY IN CONSULTATIONS REGARDING APPLICATION ASPECTS.
THE AUTHORS ACKNOWLEDGE THE SUPPORT OF THE ACCREDITATION COUNCIL FOR GRADUATE MEDICAL EDUCATION.
THIS PAPER REFERS TO DATA AND ANALYSIS FROM THE RESEARCH PROJECT NRF2015-EDU001-IHL09 (ETHICS APPROVAL REFERENCE NUMBER: IRB-2016-07-008) FUNDED BY THE SINGAPORE NATIONAL RESEARCH FOUNDATION, EDULAB RESEARCH PROGRAM. THE VIEWS EXPRESSED IN THIS PAPER ARE THE AUTHORS' AND DO NOT NECESSARILY REPRESENT THE VIEWS OF THE NATIONAL INSTITUTE OF EDUCATION. THE AUTHORS ALSO THANK JOANNA ONG AND CHRISTIN JONATHAN FOR THEIR CONTRIBUTIONS AS RESEARCH ASSISTANTS IN THIS PROJECT.
THE RESEARCH WAS SUPPORTED BY SPECIFIC RESEARCH PROJECT OF FACULTY OF EDUCATION UNIVERSITY OF HRADEC KRALOVE, AND SPECIFIC RESEARCH PROJECT OF FACULTY OF SCIENCE, UNIVERSITY OF HRADEC KRALOVE.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION (PROJECTS 526965-LLP-2012-1-GR-COMENIUS-CMP AND 531262-LLP-1-2012-1-ES-KA3-KA3MP), THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVITY (PROJECT TIN2011-28308-C03-02) AND THE AUTONOMOUS GOVERNMENT OF CASTILLA Y LEON (PROJECTS VA293A11-2 AND VA301B11-2). THE AUTHORS WOULD ALSO LIKE TO THANK THE TEACHERS INVOLVED IN THE SCENARIOS FOR THEIR SUPPORT AND IDEAS.
WE THANK CAMBRIDGE PUBLIC SCHOOL DISTRICT, STUDENT DATA PRIVACY CONSORTIUM, AND ACCESS FOR LEARNING (SIF) FOR THEIR SUPPORT, CONSTANT, AND TIMELY FEEDBACK.
THIS STUDY WAS FULLY FUNDED BY THE BERLINER QUALITATS- UND INNOVATIONSOFFENSIVE (QIO) GRANT SCHEME. THE FUNDING BODY DID NOT PLAY A ROLE IN THE IN THE DESIGN OF THE STUDY, THE COLLECTION, ANALYSIS, AND INTERPRETATION OF DATA, OR IN WRITING THE MANUSCRIPT. OPEN ACCESS FUNDING ENABLED AND ORGANIZED BY PROJEKT DEAL.
THIS RESEARCH WAS FUNDED BY THE HUMANITIES AND SOCIAL SCIENCE RESEARCH GENERAL PROJECT OF THE MINISTRY OF EDUCATION, CHINA (GRANT 15YJC880050), AND THE 2016 COMPREHENSIVE DISCIPLINE CONSTRUCTION FUND OF THE FACULTY OF EDUCATION, BEIJING NORMAL UNIVERSITY.
WE ACKNOWLEDGE FUNDING FROM MULTIPLE NSF GRANTS (ACI-1440753, DRL-1252297, DRL-1109483, DRL-1316736 & DRL-1031398), THE U.S. DEPARTMENT OF EDUCATION (IES R305A120125 & R305C100024 AND GAANN), THE ONR, AND THE GATES FOUNDATION.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) UNDER GRANT NUMBERS 0918449 AND 1348530. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER, HOWEVER, ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF. THE AUTHORS ARE INDEBTED TO TED FUIST AND LARRY WEATHERS FOR ASSISTANCE IN CONDUCTING THIS RESEARCH STUDY AT THEIR SCHOOL.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION VIA THE EUROPEAN REGIONAL DEVELOPMENT FUND AND IN THE CONTEXT OF CEITER (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENT NO. 669074). MOREOVER, THIS RESEARCH IS PARTIALLY FUNDED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES UNDER PROJECT GRANTS TIN2017-85179-C3-2-R AND TIN2014-53199-C3-2-R, BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL MINISTRY OF EDUCATION OF CASTILE AND LEON UNDER PROJECT GRANT VA257P18, AND BY THE EUROPEAN COMMISSION UNDER PROJECT GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA.
WE ACKNOWLEDGE THE FINANCIAL AND TECHNICAL SUPPORT AND ASSISTANCE OF THE UNIVERSITY OF THE SOUTH PACIFIC'S CENTRE FOR FLEXIBLE LEARNING, AS WELL AS OUR STUDENTS WHO PARTICIPATED IN THE STUDY.
THIS WORK WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE ICT-FLAG (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION) PROJECT (GRANT TIN2013-45303-P) AND BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS (GRANT TRA2013-48180-C3-3-P).
THIS RESEARCH PROJECT WAS FUNDED BY MOODLE PTY LTD, AND BY THE AUSTRALIAN GOVERNMENT AND THE UNIVERSITY OF WESTERN AUSTRALIA THROUGH THE RESEARCH TRAINING PROGRAM (RTP). WE THANK MOODLE HQ FOR PROVIDING THE DATASET USED IN THIS STUDY. SPECIAL THANKS FOR HELEN FOSTER AND MARY COOCH FOR SETTING UP THE MOOC AND FOR RUNNING REGULAR VERSIONS OF THE COURSE. ALSO THANKS TO ALL MOODLE HQ STAFF AND MEMBERS OF THE MOODLE COMMUNITY THAT PARTICIPATED IN THE PROJECT BY DOING CODE REVIEWS, BY TESTING THE FRAMEWORK AND BY HELPING DESIGN THE USER INTERFACE OF THE TOOL.
THIS WORK WAS SUPPORTED IN PART UNDER THE HOLISTIC MODELING OF EDUCATION (HOME) PROJECT FUNDED BY THE MICHIGAN INSTITUTE FOR DATA SCIENCE (MIDAS). WE WOULD ALSO LIKE TO ACKNOWLEDGE DR. JOSEPH JAY WILLIAMS AND DR. DANIEL ALMIRALL FOR VALUABLE FEEDBACK ON THIS WORK.
THIS RESEARCH WAS SUPPORTED BY THE ERDF PROJECT CYBERSECURITY, CYBERCRIME AND CRITICAL IN-FORMATION INFRASTRUCTURES CENTER OF EXCELLENCE (NO. CZ.02.1.01/0.0/0.0/16_019/0000822) .
THIS WORK WAS SUPPORTED BY THE EU PROJECT CEITER; [669074].
THIS RESEARCH WAS SUPPORTED IN PART BY A GOOGLE GRANT AND A MICROSOFT RESEARCH FACULTY FELLOWSHIP.
THE HOWARD HUGHES MEDICAL INSTITUTE SCIENCE EDUCATION PROGRAM PROVIDED FUNDING. THE VIEWS IN THIS CONTRIBUTION REFLECT THOSE OF THE AUTHORS AND NOT NECESSARILY THOSE OF HHMI.
THIS PROJECT IS SUPPORTED BY A GRANT FROM CENTRE FOR RESEARCH AND DEVELOPMENT IN LEARNING (CRADLE@NTU).
DIVISION OF RESEARCH ON LEARNING IN FORMAL AND INFORMAL SETTINGS, GRANT NUMBER: 1503436; US NATIONAL SCIENCE FOUNDATION (NSF), GRANT NUMBER: 1503436
THIS RESEARCH WAS SUPPORTED BY THE IRISH RESEARCH COUNCIL IN ASSOCIATION WITH THE NATIONAL FORUM FOR THE ENHANCEMENT OF TEACHING AND LEARNING IN IRELAND UNDER PROJECT NUMBER GOIPG/2015/3497, BY SCIENCE FOUNDATION IRELAND UNDER GRANT NUMBERS 12/RC/2289 AND 13/RC/2106, AND BY FULBRIGHT IRELAND. THE AUTHORS ARE INDEBTED TO DR. STEPHEN BLOTT WHO DEVELOPED THE PROGRAMMING GRADING PLATFORM.
THIS WORK WAS PARTLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) 16H06304, NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0 AND HACETTEPE UNIVERSITY SCIENTIFIC RESEARCH PROJECTS COORDINATION CENTER SBI-2017-16268.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2019S1A5A2A03052192).
THE AUTHORS WOULD LIKE TO THANK TO PROF. HERIBERT POPP, PROF. CEZAR IONESCU, DR. ALI FALLAH TEHRANI, M.SC. LEON BINDER, M.SC. RICK BEER FROM DEGGENDORF INSTITUTE OF TECHNOLOGY, AND PROF. DAN STOICHESCU, PROF. IOAN TACHE, PROF. ALEXANDRU VASILE FROM UNIVERSITY POLITEHNICA BUCHAREST FOR THEIR VALUABLE SUPPORT. WE WOULD LIKE TO EXPRESS OUR GRATITUDE TO ALL PARTICIPANT DIT STUDENTS. FURTHERMORE, THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE FINANCIAL SUPPORT OF "BAYERN DIGITAL" GRANT OF BAVARIAN MINISTRY OF EDUCATION, SCIENCE, CULTURE AND ARTS, AND "SMART VHB" GRANT OF THE VIRTUAL UNIVERSITY OF BAVARIA.
THIS WORK WAS SUPPORTED BY GRANTS R305A180301 AND R305B150008 FROM THE INSTITUTE OF EDUCATION SCIENCES (IES) AND GRANT #1530726 FROM THE NATIONAL SCIENCE FOUNDATION (NSF). ANY OPINIONS ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT THE VIEWS OF THE NSF, IES, OR THE U.S. DEPARTMENT OF EDUCATION.
THIS RESEARCH HAS BEEN SUPPORTED BY GR15106 AND GR15011 PROJECTS (GOBIERNO DE EXTREMADURA, SPAIN), CATEDRA ASPGEMS (UNIVERSIDAD DE EXTREMADURA AND ASPGEMS SL, SPAIN), AND EUROPEAN REGIONAL DEVELOPMENT FUNDS (EUROPEAN UNION).
THE WORK WAS SUPPORTED BY UNIVERSITY OF BURGOS.
THIS WORK WAS SUPPORTED BY THE SLOVAK RESEARCH AND DEVELOPMENT AGENCY UNDER CONTRACT APVV-14-0336.
THIS WORK WAS PARTLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (B) 20H01722, JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) 16H06304 AND NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0.
THIS WORK WAS PARTIALLY FUNDED BY THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THE LALA PROJECT HAS BEEN FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION. IN ADDITION, THIS WORK HAS BEEN PARTIALLY FUNDED BY FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES-AGENCIA ESTATAL DE INVESTIGACION/PROJECT SMARTLET (TIN2017-85179-C3-1-R) AND BY THE MADRID REGIONAL GOVERNMENT THROUGH THE PROJECT E-MADRID-CM (S2018/TCS-4307). THE LATTER IS ALSO COFINANCED BY THE STRUCTURAL FUNDS (FSE AND FEDER). IT HAS ALSO BEEN SUPPORTED BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION, AND UNIVERSITIES, UNDER AN FPU FELLOWSHIP (FPU016/00526).THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE FUNDERS CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THE AUTHORS WOULD LIKE TO THANK MEMBERS OF LEARNING ANALYTICS RESEARCH GROUP IN UNIVERSITY OF MELBOURNE FOR THEIR HELPFUL COMMENTS DURING THE EARLY PHASE OF OUR STUDY. THIS RESEARCH IS FUNDED BY AUSTRALIAN RESEARCH COUNCIL DISCOVERY PROJECT DP120102902.
THE AUTHOR RECEIVED SUPPORT FROM MICROSOFT FOR RESEARCH RELATED TO PRIVACY IN EARLY MASSIVE OPEN ONLINE COURSES AS PART OF HER PRIOR AFFILIATION WITH NEW YORK UNIVERSITY'S INFORMATION LAW INSTITUTE.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE SPANISH GOVERNMENT MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGHOUT THE DEFINES PROJECT (REF. TIN2016-80172-R).
THIS STUDY WAS PARTIALLY FINANCED BY PUBLIC FUNDS GRANTED BY THE DEPARTMENT OF EDUCATION OF THE GALICIAN REGIONAL GOVERNMENT (GRG), WITH THE PURPOSE OF SUPPORTING RESEARCH ACTIVITIES CARRIED OUT BY PHD STUDENTS. THIS WORK WAS SUPPORTED BY THE SPANISH STATE RESEARCH AGENCY AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) UNDER THE PALLAS (TIN2016-80515-R AEI/EFRD, EU) PROJECT, BY THE GRG AND THE ERDF THROUGH "AGRUPACION ESTRATEXICA CONSOLIDADA DE GALICIA ACCREDITATION 2016-2019", AND BY THE GRG UNDER PROJECTS ED431B 2017/67 AND ED431D 2017/12.
THIS WORK HAS BEEN DONE UNDER THE FRAMEWORK OF THE RESEARCH PROJECT PILARES TIN2010-46790-P AND HAS BEEN PARTIALLY SUPPORTED BY THE SECRETERIA D'UNIVERSITATS I RECERCA DE LA GENERALITAT DE CATALUNYA UNDER 2014 SGR 1534 AND UPCNET.
THIS WORK IS SUPPORTED BY A SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA GRANT (SSHRC #496730). WE WOULD LIKE TO THANK THE CHILDREN, TEACHERS, PARENTS, PRINCIPAL, AND VICE-PRINCIPAL WHO MADE THIS RESEARCH POSSIBLE. WE ALSO WANT TO THANK THE EDITOR AND ANONYMOUS REVIEWERS WHO HAVE GREATLY HELPED IMPROVE THIS ARTICLE WITH THEIR INSIGHTFUL COMMENTS AND SUGGESTIONS.
THIS RESEARCH IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. 1417939.
THE AUTHORS THANK THE UNIVERSITY OF VALLE FOR FUNDING THE RESEARCH OF BEATRIZ FLORIAN-GAVIRIA. THE PRESENTED WORK WAS PARTLY SPONSORED BY THE ARRELS PROJECT (TIN2011-23930) AND FUNDED BY THE SPANISH GOVERNMENT. FURTHER, THEY THANK THE UNIVERSITY OF VALLE AND UNIVERSITY OF GIRONA FOR THE SUPPORT IN CONDUCTING THE CLASSROOM STUDY WITH THEIR STAFF. LAST BUT NOT THE LEAST, THEY THANK HENDRIK DRACHSLER AND MARCUS SPECHT FROM THE OPEN UNIVERSITY OF THE NETHERLANDS FOR THEIR KIND SUPPORT AND COLLABORATION WITH THE RELATED RESEARCH THROUGHOUT 2011 AND 2012.
THIS RESEARCH WAS FUNDED BY THE U.S. NATIONAL SCIENCE FOUNDATION (NSF-IIS 1839194).
THIS STUDY WAS SUPPORTED BY PROJECT "DIGITAL UNIVERSITY" IN UNIVERSITY OF INTERNATIONAL BUSINESS.
THIS WORK IS A PART OF THE CIBERSCRATCH PID PROJECT FOR THE YEAR 2020, AND IT IS FUNDED BY THE UNIVERSIDAD NACIONAL DE EDUCACION A DISTANCIA (UNED).
MANUSCRIPT RECEIVED JUNE 11, 2020; REVISED APRIL 28, 2021 AND AUGUST 17, 2021; ACCEPTED AUGUST 21, 2021. DATE OF PUBLICATION AUGUST 24, 2021; DATE OF CURRENT VERSION OCTOBER 15, 2021. THIS WORK WAS SUPPORTED IN PART BY THE UNIVERSITY OF FLORIDA AI CATALYST UNDER GRANT P0195022 AND IN PART BY THE UNIVERSITY OF FLORIDA INFORMATICS INSTITUTE SEED FUNDING. (CORRESPONDING AUTHOR: WANLI XING.)
RESEARCH REPORTED IN THIS ARTICLE WAS SUPPORTED BY THE ACADEMIC RESEARCH FUND (ARF) PUBLICATION GRANT OF ATHABASCA UNIVERSITY UNDER AWARD NUMBER (24087).
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM FACULTY OF INFORMATICS, MASARYK UNIVERSITY.
THIS WORK WAS SUPPORTED BY THE AUSTRALIA AWARDS ENDEAVOUR RESEARCH FELLOWSHIP.
THIS RESEARCH HAS BEEN SUPPORTED BY THE PROJECT ITS/227/17FP FROM THE INNOVATION AND TECHNOLOGY FUND OF HONG KONG.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2018/TCS4307, CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS FSE AND FEDER), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), BY THE EUROPEAN COMMISSION (ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259), BY MIT-LA CAIXA (MISTI PROGRAM, LCF/PR/MIT19/5184001) AND BY TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES. ALSO THANKS TO JULIO SANTILARIO BERTHILIER AND ANA RUS CANO FOR THEIR CONTRIBUTION TO CONECTADO AND T-MON.
THE AUTHORS ARE PLEASED TO ACKNOWLEDGE THE FINANCIAL SUPPORT OF THE AUSTRALIAN RESEARCH COUNCIL THROUGH GRANT DP150104163.
THIS WORK WAS SUPPORTED BY KENNISNET -DOORBRAAKPROJECT: [GRANT NUMBER 405-15-823].
R.V. AND R. M. WERE FUNDED BY CORPORACION DE FOMENTO DE LA PRODUCCION (CORFO) 14ENI2-26905 "NUEVA INGENIERIA PARA EL 2030"-PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO, CHILE.
OPEN ACCESS FUNDING PROVIDED BY UNIVERSITY OF EASTERN FINLAND (UEF) INCLUDING KUOPIO UNIVERSITY HOSPITAL.
THE PUBLICATION OF THIS ARTICLE WAS FUNDED BY THE OPEN ACCESS FUND OF THE LEIBNIZ ASSOCIATION.
CROATIAN SCIENCE FOUNDATION HAS PARTLY SUPPORTED THIS PAPER UNDER THE PROJECT HIGHER DECISION, IP-2014-097854
THIS RESEARCH WAS MADE POSSIBLE BY A GRANT FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA ENTITLED "DIGITALLY MEDIATED GROUP KNOWLEDGE PROCESSES TO ENHANCE INDIVIDUAL ACHIEVEMENT IN LITERACY AND NUMERACY," PROTOCOL REFERENCE #32092.
THIS WORK IS SUPPORTED FROM THE NORWEGIAN RESEARCH COUNCIL UNDER THE PROJECTS FUTURE LEARNING (NUMBER: 255129/H20) AND XDESIGN (290994/F20). THIS WORK WAS CARRIED OUT DURING THE TENURE OF AN ERCIM "ALAIN BENSOUSSAN" FELLOWSHIP PROGRAMME.
THIS WORK HAS BEEN FUNDED BY THE R&D PROGRAM OF MADRID (S2013/ICE-2715) AND THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS PROJECT FLEXOR (TIN2014-52129-R).
THIS WORK WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA UNDER GRANT 61877027. (CORRESPONDING AUTHOR: XU DU.)
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) OF THE UNITED STATES UNDER GRANT NUMBERS 1512868, 1348530 AND 1503196. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER, HOWEVER, ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF.
THIS WORK WAS SUPPORTED BY A PURDUE RESEARCH FOUNDATION RESEARCH GRANT.
WE THANK AALTO UNIVERSITY FOR OFFERING RESOURCES FOR DEVELOPING THE EXPERIMENTS. FOR TEACHING SERVICE POINT, WE ESPECIALLY THANK HELENA BACKMAN AND TIMO OVASKA. THE DEVELOPMENT OF LEARNING ANALYTICS HAS BEEN FUNDED BY THE MINISTRY OF EDUCATION AND CULTURE OF FINLAND IN A JOINT INITIATIVE 'ANALYTICS INTELLIGENCE' (HTTPS://ANALYTIIKKAALY.FI/IN-ENGLISH/).
THIS WORK WAS FUNDED IN PART BY THE NATIONAL SCIENCE FOUNDATION (DRL-1661036, DRL-1713110), THE WISCONSIN ALUMNI RESEARCH FOUNDATION, AND THE OFFICE OF THE VICE CHANCELLOR FOR RESEARCH AND GRADUATE EDUCATION AT THE UNIVERSITY OF WISCONSIN-MADISON. THE OPINIONS, FINDINGS, AND CONCLUSIONS DO NOT REFLECT THE VIEWS OF THE FUNDING AGENCIES, COOPERATING INSTITUTIONS, OR OTHER INDIVIDUALS.
THIS WORK WAS SUPPORTED BY THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC) GRANT AWARDED TO DR. ANATOLIY GRUZD AND DR. CAROLINE HAYTHORNTHWAITE. INITIAL RESULTS OF THIS RESEARCH APPEARED IN THE PROCEEDING OF THE 2015 INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS AND KNOWLEDGE.
THIS RESEARCH WAS SUPPORTED BY THE MSIT (MINISTRY OF SCIENCE AND ICT), KOREA, UNDER THE ICT CONSILIENCE CREATIVE PROGRAM (IITP-2017-R0346-16-1007) SUPERVISED BY THE IITP (INSTITUTE FOR INFORMATION & COMMUNICATIONS TECHNOLOGY PROMOTION).
THIS RESEARCH WAS SUPPORTED BY THE CHARLOTTE RESEARCH INSTITUTE.
THIS WORK IS SUPPORTED BY A SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC) GRANT, "LEARNING ANALYTICS FOR THE SOCIAL MEDIA AGE", PIS: ANATOLIY GRUZD AND CAROLINE HAYTHORNTHWAITE. THE AUTHORS WOULD LIKE TO THANK NADIA CONROY, MICHAEL PACHECO, AND JORDAN KILFOY, WHO HELPED WITH THE MANUAL CODING OF REDDIT POSTS. WE WOULD LIKE TO THANK ANONYMOUS REVIEWERS FOR PROVIDING VERY HELPFUL COMMENTS.
THIS RESEARCH WAS SUPPORTED BY THE UNIVERSITY OF TARTU ASTRA PROJECT PER ASPERA, FINANCED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND.
THE AUTHORS ACKNOWLEDGE THE SUPPORT OF THE MINISTRY OF SCIENCE AND INNOVATION (PROJECTS FFI2010-16234 AND TIN2010-21695-C02-01) AND THE MINISTRY OF EDUCATION OF THE JUNTA DE CASTILLA Y LEON (PROJECT SA294A12-2).
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20).
THE RESULTS PRESENTED IN THIS PAPER ARE BASED ON THE ACHIEVEMENTS FROM BOTH ACTIVITIES IN THE TEAMS OF FP7 PELARS PRACTICE - BASED EXPERIENTIAL LEARNING ANALYTICS RESEARCH AND SUPPORT - PROJECT NUMBER: 619738, AND THE ROMANIAN AGENCY FOR QUALITY ASSURANCE IN HIGHER EDUCATION (ARACIS).
AUTHORS WANT TO ACKNOWLEDGE SUPPORT FROM PROF-XXI PROJECT, SPAIN (609767-EPP-1-ES-EPPKA2-CBHE-JP) , THE EUROPEAN COM-MISSION AND THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVE-NESS THROUGH THE JUAN DE LA CIERVA FORMACION PROGRAM (FJCI-2017-34926) .
PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 18K02820, 18H04125, NO. 17K12947, NO. 16H06304 AND 16H03078 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS STUDY HAS BEEN SUPPORTED BY CHINA'S MINISTRY OF EDUCATION'S YOUTH SCHOLAR RESEARCH FUNDING GRANT IN THE FIELDS OF HUMANITIES AND SOCIAL SCIENCES (16YJC880054) AND BASIC RESEARCH FUNDING GRANT OF CENTRAL CHINA NORMAL UNIVERSITY (CCNU18QN023).
THIS PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 16H06304, NO. 25282059, NO. 26560122, NO. 25540091 AND NO. 26350319 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN. THE RESEARCH RESULTS HAVE BEEN PARTLY ACHIEVED BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN. THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 16J05548.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE REGIONAL PROJECT FROM COMUNIDAD AUTONOMA DE MADRID EMADRID-CM (S2013/ICE-2715). WE WANT TO THANK UNIDAD DE TECNOLOGIAS PARA LA EDUCACION FROM UNIVERSIDAD AUTONOMA DE MADRID FOR THE DATA OF THE MOOC LA ESPANA DEL QUIJOTE.
THIS WORK WAS CONDUCTED WITH SUPPORT FROM U.S. NATIONAL SCIENCE FOUNDATION AWARD #1420491. [BOILERPLATE GOES HERE]. THE AUTHORS WISH TO THANK JENIFER UTZ FOR ASSISTANCE WITH THE DESIGN AND MAINTENANCE OF INSTRUCTIONAL MATERIALS, AND MEMBERS OF THE UNLV OFFICE OF INFORMATION TECHNOLOGY OPERATIONS CENTER FOR THEIR MANAGEMENT AND MODELING OF PROJECT DATA. SPECIAL THANKS GO TO CAM JOHNSON AND CYNDI BACKSTROM. LUC PAQUETTE PROVIDED TECHNICAL SUPPORT ON PREDICTION MODEL DEVELOPMENT AND CROSS-VALIDATION.
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN COMMUNITY'S SEVENTH FRAMEWORK PROGRAMME (FP7/200- 2013) UNDER GRANT AGREEMENT NO 318499 - WESPOT PROJECT. KATRIEN VERBERT IS A POST-DOCTORAL FELLOW OF THE RESEARCH FOUNDATION FLANDERS (FWO).
THIS RESEARCH WAS SUPPORTED BY THE EFFECTIVE LEARNING ANALYTICS PROJECT AT THE UNIVERSITY OF EXETER. THE FUNDER HAD NO ROLE IN STUDY DESIGN, DATA COLLECTION AND ANALYSIS, DECISION TO PUBLISH, OR PREPARATION OF THE MANUSCRIPT.THIS PROJECT AIMS TO MAKE EFFECT USE OF DATA TO HELP STUDENTS REACH THEIR FULL ACADEMIC POTENTIAL WHILE STUDYING AT THE UNIVERSITY OF EXETER.
WORK FUNDED BY THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THIS PROJECT HAS BEEN FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION. THIS PUBLICATION REFLECTS ONLY THE VIEWS OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676, ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259).
THIS RESEARCH HAS BEEN FUNDED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN COMMISSION (PROJECT NO 588438-EPP-1-2017-1-EL-EPPKA2-KA - COLMOOC)
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE "TIPHYS 4.0 - SOCIAL NETWORK BASED DOCTORAL EDUCATION ON INDUSTRY 4.0", PROJECT NO 2017-1-SE01-KA203-03452 FUNDED BY ERASMUS+ OF THE EUROPEAN COMMISSION.
THE PAPER IS PART OF THE WORK SUPPORTED BY THE OFFICE OF NAVAL RESEARCH GRANT NO. N00014-15-1-2789.
THIS WORK WAS SUPPORTED IN PART BY THE SCIENTIFIC GRANT AGENCY OF THE MINISTRY OF EDUCATION OF THE SLOVAK REPUBLIC AND OF SLOVAK ACADEMY OF SCIENCES UNDER CONTRACT VEGA-1/0776/18, AND IN PART BY THE SCIENTIFIC RESEARCH PROJECT OF THE CZECH SCIENCES FOUNDATION UNDER GRANT GA16-19590S.
THIS RESEARCH WAS CO-FUNDED BY THE SUPPORT OF THE SECRETARIA D'UNIVERSITATS I RECERCA OF THE DEPARTMENT OF BUSINESS AND KNOWLEDGE OF THE GENERALITAT DE CATALUNYA WITH THE HELP OF 2017 SGR 934.
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS RESEARCH WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61977057; 61907038), AND MAJOR PROGRAM OF NEW GENERATION OF ARTIFICIAL INTELLIGENCE OF THE NATIONAL SCIENCE AND TECHNOLOGY INNOVATION 2030 OF CHINA (2019AAA0105403).
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE UNIVERSITY OF ALBERTA TEACHING AND LEARNING RESEARCH FUND (RES0035131).
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE NETHERLANDS ORGANISATION FOR SCIENTIFIC RESEARCH (NWO), GRANT NUMBERS 314-99-107 AND 406-11-163.
THE AUTHORS GRATEFULLY ACKNOWLEDGE SUPPORT FROM THE UNIVERSITY OF TECHNOLOGY SYDNEY, DEPUTY VICE CHANCELLOR (EDUCATION AND STUDENTS), FOR THIS WORK AND FOR THE DEVELOPMENT OF THE AWA TOOLS. WE WOULD ALSO LIKE TO ACKNOWLEDGE CLAUDE ROUX, RESEARCHER AT NAVER LABS EUROPE, WHO DEVELOPED ATHANOR, AND JEAN-PIERRE CHANOD, AREA MANAGER AT NAVER LABS EUROPE, FOR PROMOTING UTS/XEROX/NAVER COLLABORATION. RIANNE CONIJN WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF AUSTRALIA AWARD (6381_2018) ENDEAVOUR FELLOWSHIP PROVIDED TO SUPPORT AN INTERNATIONAL VISIT TO THE CONNECTED INTELLIGENCE CENTRE AT UTS.
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (GRANTS #DRL-1418072, PI DAVENPORT, AND #DRL1418181, PI STAMPER), AND THE INSTITUTE OF EDUCATION SCIENCES, U.S. DEPARTMENT OF EDUCATION, THROUGH GRANTS R305A100069 AND R305A170049 TO WESTED. ANY OPINIONS, FINDINGS, CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF NSF OR IES.
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE SPANISH PROJECTS TIN2014-53199-C3-2-R, TIN2014-53199-C3-3-R, TIN2017-85179-C3-2-R, TIN2017-85179-C3-3-R, MDM-2015-0502, RECERCAIXA (COT PROJECT), 2017SGR1698, AND VA082U16, BY THE EUROPEAN COMMISSION UNDER GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA, AND BY THE AUSTRALIAN RESEARCH COUNCIL THROUGH LAUREATE GRANT FL100100203.
SUPPORT FOR THIS WORK COMES FROM THE "LEARNING: MACHINES, BRAINS, AND CHILDREN" EMERGING AREA OF RESEARCH INITIATIVE AT INDIANA UNIVERSITY.
THIS WORK WAS SUPPORTED BY THE AUSTRALIAN RESEARCH COUNCIL (JML) [GRANT NUMBER SR120300015].
THIS RESEARCH WAS FUNDED BY THE DIANE AND GARY TOOKER CHAIR FOR EFFECTIVE EDUCATION IN SCIENCE TECHNOLOGY ENGINEERING AND MATH, BY NSF GRANT IIS-1628782, AND BY THE BILL AND MELINDA GATES FOUNDATION UNDER GRANT OP1061281.
THE AUTHORS ACKNOWLEDGE FINANCIAL SUPPORT FROM THE SPANISH MINISTERIO DE ECONOMA Y COMPETITIVIDAD (TIN2016-76406-P AND FROM THE UAM/IBM CHAIR).
THIS RESEARCH WAS FUNDED BY MOODLE PTY LTD, AND BY THE AUSTRALIAN GOVERNMENT AND THE UNIVERSITY OF WESTERN AUSTRALIA THROUGH THE RESEARCH TRAINING PROGRAM (RTP). (CORRESPONDING AUTHOR: DAVID MONLLAO OLIVE.)
THE COURSE 'AUDITORY REHABILITATION IN CHILDREN' WAS FUNDED BY THE BRAZILIAN MINISTRY OF HEALTH -SUPPORT PROGRAM FOR INSTITUTIONAL DEVELOPMENT OF THE NATIONAL HEALTH SYSTEM (PROADI/SUS -GRANT 25000.024953/2015-89). THE AUTHORS ALSO THANKS CNPQ (GRANT 307887/2017-0), CAPES AND FAPESP (GRANT15/24507-2) FOR THE SUPPORT.
THIS WORK WAS SUPPORTED BY THE ACADEMY OF FINLAND AND RELATED TO THE THEMATIC RESEARCH AREA DECISION ANALYTICS UTILIZING CAUSAL MODELS AND MULTIOBJECTIVE OPTIMIZATION (DEMO) (JYU./DEMO), UNIVERSITY OF JYVASKYLA, FINLAND, UNDER GRANT 311877.
THIS RESEARCH WAS FUNDED BY THE DIANE AND GARY TOOKER CHAIR FOR EFFECTIVE EDUCATION IN SCIENCE TECHNOLOGY ENGINEERING AND MATH, BY NSF GRANT IIS-1628782, AND BY THE BILL AND MELINDA GATES FOUNDATION UNDER GRANT OP1061281.
THIS RESEARCH WAS SUPPORTED BY THE IRISH RESEARCH COUNCIL IN ASSOCIATION WITH THE NATIONAL FORUM FOR THE ENHANCEMENT OF TEACHING AND LEARNING IN IRELAND UNDER PROJECT NUMBER GOIPG/2015/3497, AND BY SCIENCE FOUNDATION IRELAND UNDER GRANT NUMBER 12/RC/2289. THE AUTHORS ARE INDEBTED TO DR. STEPHEN BLOTT, LECTURER ON THE MODULE WHICH IS THE SUBJECT OF THIS WORK, FOR HIS HELP.
THIS RESEARCH IS PARTIALLY FUNDED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES UNDER PROJECT GRANTS TIN2017-85179-C3-2-R AND TIN2014-53199-C3-2-R, BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL MINISTRY OF EDUCATION OF CASTILE AND LEON UNDER PROJECT GRANT VA257P18, BY THE EUROPEAN COMMISSION UNDER PROJECT GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA AND BY EUROPEAN UNION'S HORIZON 2020 UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT 793317.
WORK SUPPORTED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) AND THE GALICIAN REGIONAL GOVERNMENT UNDER AGREEMENT FOR FUNDING THE ATLANTIC RESEARCH CENTER FOR INFORMATION AND COMMUNICATION TECHNOLOGIES (ATLANTTIC).
THIS RESEARCH WAS SUPPORTED IN PART BY GRANTS FROM THE UNIVERSITY OF ADELAIDE AND THE UNIVERSITY OF WOLLONGONG. NO PART OF THIS REVIEW HAS BEEN PREVIOUSLY PUBLISHED NOR HAS IT BEEN SUBMITTED FOR PUBLICATION ELSEWHERE.
THE AUTHORS ACKNOWLEDGE THE SUPPORT PROVIDED BY THE UNED INDUSTRIAL SCHOOL OF ENGINEERING, THE UNED DOCTORAL SCHOOL, THANKS TO PROJECT 2019/IEQ15 MULTIMEDIA SYSTEMS OF UNED INDUSTRIAL SCHOOL OF ENGINEERING AND THE "TECHNOMUSEUM: DISCOVERING THE ICTS FOR HUMANITY" (IEEE FOUNDATION GRANT 2011-118LMF).; AND THIS WORK HAS BEEN CO-FUNDED BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE PROJECT E-MADRID-CM (P2018/TCS-4307). THE E-MADRID-CM PROJECT IS ALSO CO-FINANCED BY THE STRUCTURAL FUNDS (FSE AND FEDER). AS WELL AS FOR PARTIAL FUNDING INSIDE THE PROJECTS IOE-EQ. INTERNET OF ENERGY -EDUCATION AND QUALIFICATION. ERASMUS+ COOPERATION FOR INNOVATION AND THE EXCHANGE OF GOOD PRACTICES NO 2017-1-IT01-KA202-006251; PILAR. PLATFORM INTEGRATION OF LABORATORIES BASED ON THE ARCHITECTURE OF VISIR -ERASMUS+ STRATEGIC PARTNERSHIP NO 2016-1-ES01KA203-025327 AND E-LIVES. E-LEARNING INNOVATIVE ENGINEERING SOLUTIONS-ERASMUS+ CAPACITY BUILDING IN HIGHER EDUCATION 2017 -585938-EPP-12017-1-FREPPKA2-CBHE-J. AND TO THE PROJECTS 2019/IEQ-15 AND 2019-IEQ14 FROM THE INDUSTRIAL ENGINEERING TECHNICAL SCHOOL OF UNED.
THIS STUDY IS SUPPORTED BY THE UNDERGRADUATE STUDENTS RESEARCH FUND OF EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY (ECUST).
THE AUTHORS ARE GRATEFUL FOR THE HELPFUL FEEDBACK ON EARLY DRAFTS OF THIS PAPER AND OUR RESEARCH APPROACH FROM DR IRINA ELGORT, VICTORIA UNIVERSITY OF WELLINGTON, NZ, MR SWEE-KIN LOKE, OTAGO POLYTECHNIC, DUNEDIN, NZ AND DR ANGELA MCLEAN, SIMON FRASER UNIVERSITY, BC, CANADA. THE RESEARCH REPORTED IN THIS PAPER IS SUPPORTED BY AN AKO AOTEAROA, NEW ZEALAND, NATIONAL PROJECT FUND GRANT NO: NPF15-008. APPROVAL FROM THE UNIVERSITY OF OTAGO ETHICS COMMITTEE WAS RECEIVED FOR THIS RESEARCH D14/049.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 17K12947.
THIS WORK IS SUPPORTED BY PUBLIC FUNDS GRANTED BY THE DEPARTMENT OF EDUCATION OF THE GALICIAN REGIONAL GOVERNMENT (GRG) WITH THE PURPOSE OF SUPPORTING RESEARCH ACTIVITIES CARRIED OUT BY PHD STUDENTS; BY THE SPANISH STATE RESEARCH AGENCY AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) UNDER THE PALLAS (TIN2016-80515-R AEI/EFRD, EU) PROJECT; BY THE GRG AND THE ERDF THROUGH "AGRUPACION ESTRATEXICA CONSOLIDADA DE GALICIA ACCREDITATION 2016-2019"; AND BY THE GRG UNDER PROJECTS ED431B 201//67 AND ED431D 2017/12.
THE 'AUDITORY REHABILITATION IN CHILDREN' COURSE WAS FUNDED BY THE BRAZILIAN MINISTRY OF HEALTH -SUPPORT PROGRAM FOR INSTITUTIONAL DEVELOPMENT OF THE NATIONAL HEALTH SYSTEM (PROADI/SUS -GRANT 25000.024953/2015-89). THE AUTHORS ALSO THANKS CNPQ (GRANT 307887/2017-0), CAPES AND FAPESP (GRANT15/24507-2) FOR THE FUNDING SUPPORT.
THIS WORK IS SUPPORTED IN PART BY FUNDING FROM THE NATIONAL SCIENCE FOUNDATION UNDER AWARD #1725941. HOWEVER, ANY OPINIONS, FINDINGS, CONCLUSIONS, AND/OR RECOMMENDATIONS ARE THOSE OF THE INVESTIGATORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE FOUNDATION.
THE ARTICLE IS WRITTEN WITH THE FINANCIAL SUPPORT OF EUROPEAN REGIONAL DEVELOPMENT FUND PROJECT NR.1.1.1.5/18/I/018 PETNIECIBAS, INOVACIJU UN STARPTAUTISKAS SADARBIBAS ZINATNE VEICINASANA LIEPAJAS UNIVERSITATE.
A PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT IN AID FOR SCIENTIFIC RESEARCH NO. 16H06304, NO. 16H03078 AND NO. 17K12947 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THE RESEARCH REPORTED HERE WAS SUPPORTED BY THE INSTITUTE OF EDUCATION SCIENCES, U.S. DEPARTMENT OF EDUCATION, THROUGH GRANT R305A180211. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT VIEWS OF THE INSTITUTE OR THE U.S. DEPARTMENT OF EDUCATION.
OPEN ACCESS FUNDING PROVIDED BY EPFL LAUSANNE.
THIS WORK WAS PARTIALLY FUNDED THROUGH PROJECT "ANALITICA VISUAL, PREDICCION Y RECOMENDACION PARA APLICACION EDUCATIVA DE SANTILLANA" BY SANTILLANA EDUCACION S.L. FURTHERMORE, THERE IS PARTIAL SUPPORT BY FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES -AGENCIA ESTATAL DE INVESTIGACION/PROJECT SMARTLET (TIN2017-85179-C3-1-R), BY MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES, UNDER AN FPU FELLOWSHIP (FPU016/00526), AND BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE PROJECT E-MADRID-CM (S2018/TCS-4307). THE LATTER IS ALSO CO-FINANCED BY THE STRUCTURAL FUNDS (FSE AND FEDER). WE ALSO THANK JAVIER DELICADO MOLINA, ADRIAN GARCIA GONZALEZ, CAROLINA ACERO MARTIN, AND NATASHA YUSHKEVICH ALEXANDROV FOR THEIR COLLABORATION.
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN COMMUNITY'S SEVENTH FRAMEWORK PROGRAMME (FP7/2007-2013) UNDER GRANT AGREEMENT 317964 JUXTALEARN.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT THROUGH A GRANT FROM THE SONY ELECTRONICS CORPORATION.
WE THANK THE FINANCIAL SUPPORT OF THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR -BRASIL (CAPES) - FINANCE CODE 001, AND THE SCIENCE AND RESEARCH SUPPORT FOUNDATION OF PERNAMBUCO (FACEPE).
A PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 16H03078 AND NO. 16H06304 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS WORK HAS BEEN FUNDED BY THE DEPARTMENT OF SCIENCE AND INNOVATION (SPAIN) UNDER THE NATIONAL PROGRAMME FOR RESEARCH, DEVELOPMENT AND INNOVATION: PROJECT TIN2011-25978 ENTITLED 'OBTAINING ADAPTABLE, ROBUST AND EFFICIENT SOFTWARE BY INCLUDING STRUCTURAL REFLECTION TO STATICALLY TYPED PROGRAMMING LANGUAGES'.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE MADRID REGIONAL GOVERNMENT EMADRID EXCELLENCE NETWORK (S2013/ICE-2715), THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS PROJECT RESET (TIN2014-53199-C3-1-R) AND THE EUROPEAN ERASMUS+ PROJECTS MOOC-MAKER (561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP) AND SHEILA (562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD).
THIS WORK WAS SUPPORTED BY FACULTY OF NURSING OF UDELAR (UNIVERSITY OF THE REPUBLIC) THROUGH PIMCEU PROJECT AND BY CNPQ (BRAZILIAN NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT) [EDITAL UNIVERSAL, PROC.404369/2016-2] [DT-2 PRODUCTIVITY IN TECHNOLOGICAL DEVELOPMENT AND INNOVATIVE EXTENSION SCHOLARSHIP, PROC.315445/2018-1].
THIS WORK WAS PARTLY FINANCED BY CAPES-COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR, BRAZIL.
THIS WORK IS SUPPORTED BY INSTRUCTURE OF CANVAS. THERE IS NO POTENTIAL CONFLICT OF INTEREST FOR THE WORK REPORTED IN THIS PAPER.
THE RESEARCH DESCRIBED IN THIS ARTICLE HAS BEEN PARTIALLY FUNDED BY THE SUPPORT PLAN FOR TEACHING INNOVATION GROUPS OF THE UNIVERSITY OF LEON (PAGID 2018).
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION, UNDER GRANT NO. IIS-1321045.
APOSDLE (WWW.APOSDLE.ORG) HAS BEEN PARTIALLY FUNDED UNDER GRANT 027023 IN THE IST WORK PROGRAMME OF THE EUROPEAN COMMUNITY.
OIS RESEARCH HAS BEEN SUPPORTED IN PART BY THE EUROPEAN COMMISSION WITHIN THE H2020-ICT-2015 PROGRAMME (AFEL PROJECT, GRANT AGREEMENT NO. 687916), AND THE ERASMUS+ AGREEMENT 2015-1-LI01-KA203-000041 (LEARNING ANALYTICS AND LEARNING PROCESS MANAGEMENT FOR SMALL SIZE ORGANISATIONS IN HIGHER EDUCATION). WE ALSO THANK PETER HOLTZ FOR HIS VALUABLE ADVISE AND FEEDBACK FROM THE PSYCHOLOGY PERSPECTIVE.
THIS WORK IS SUPPORTED BY BASQUE GOVERNMENT [GRANT NUMBER IT980-16] AND THE OFFICE OF THE VICE-CHANCELLOR FOR INNOVATION, SOCIAL ENGAGEMENT AND CULTURAL ACTION OF THE UPV/EHU THROUGH THE SAE-HELAZ [HBT-ADITUAK 2018-19/6].
WE GRATEFULLY ACKNOWLEDGE THE LEARNING INNOVATION AND TEACHING ENHANCEMENT (LITE) GRANT FROM THE CENTRE OF TEACHING EXCELLENCE AT THE UNIVERSITY OF WATERLOO, WHICH GREATLY FACILITATED THIS STUDY. OUR THANKS ALSO GO TO THE COLLEAGUES AT THE UNIVERSITY OF WATERLOO WHO HELPED WITH RETRIEVING DATA FROM THE STUDENT DATABASE, IN PARTICULAR TO MARK WALKER AND MARY LYNN BENNINGER. THIS STUDY BENEFITTED GREATLY FROM THE INPUT OF TWO RESEARCH ASSISTANTS: UTEJ SOHAL (STATISTICAL ANALYSIS PREPARATION) AND SARA MARSH (CONDUCTING INTERVIEWS AND QUALITATIVE ANALYSIS).
WE WOULD LIKE TO THANK PIOTR MARSZAL FOR HIS CODING CONTRIBUTION ON THE FIRST BETA OF UADVENTURE. THIS RESEARCH HAS BEEN PARTIALLY FINANCED BY THE REGIONAL GOVERNMENT OF MADRID [EMADRID 52013/ICE-2715], BY THE MINISTRY OF EDUCATION [TIN2013-46149-C2-1-R] AND BY THE EUROPEAN COMMISSION [RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676].
WE ARE GRATEFUL TO LISA KACZMARCZYK FOR CONTRIBUTING QUESTIONS FROM AN EXPERT INSTRUMENT. WE THANK LEO PORTER AND DANIEL ZINGARO, AS WELL AS MIKE CLANCY AND CYNTHIA TAYLOR, FOR THEIR ELUCIDATING CONVERSATIONS ON CONCEPT INVENTORIES AND FOR POINTING US TO ACTION RESEARCH. THIS WORK WAS PARTIALLY SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION.
THIS WORK IS SUPPORTED IN PART BY RUSSIAN FOUNDATION FOR BASIC RESEARCH (RFBR) (PROJECT NO. 17-03-00293-OGN).
THE IDEAS PROJECT IS FUNDED BY THE NEWTON GRANT AND SUPPORTED BY THE ECONOMIC AND SOCIAL RESEARCH COUNCIL [GRANT NUMBER: ES/P002161/1]; AND THE NATIONAL RESEARCH FOUNDATION [GRANT NUMBER: UTSA160329161196].
THIS WORK IS PARTIALLY SUPPORTED BY EUROPEAN UNION THROUGH THE PROJECT MOOC-MAKER WWW.MOOCMAKER.ORG.REFERENCE: 561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP.
THIS PUBLICATION WAS MADE POSSIBLE THROUGH SUPPORT FROM THE CONACYT PROJECT "PROCESOS DE TRANSFORMACION DE LAS REPRESENTACIONES CIENTIFICAS EN LOS ESTUDIANTES DEL BACHILLERATO BAJO UN ENTORNO MULTIREPRESENTACIONAL APOYADO CON TECNOLOGIAS DIGITALES" AND UNAM-PAPIME PROJECT "LA ENSENANZA DE LAS CIENCIAS EN UN ENTORNO MULTIREPRESENTACIONAL. ELEMENTOS DIDACTICOS PARA LOS NUEVOS LABORATORIOS DEL BACHILLERATO DE LA UNAM"
THIS WORK WAS SUPPORTED IN PART BY NSF UNDER GRANTS #1712129, #1447489, AND #1444277.
THIS WORK IS SUPPORTED BY OPEN FUND OF HUBEI RESEARCH CENTER FOR EDUCATIONAL INFORMATIONIZATION, CENTRAL CHINA NORMAL UNIVERSITY. THIS RESEARCH WAS FUNDED BY UNIVERSITY GRANTS COMMITTEE, RESEARCH GRANT COUNCIL OF HONG KONG, GRANT NUMBER 752508H.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBERS 17K12947, 16H03078, 16H06304, 18H04125 AND 18K02820.
THIS WORK WAS SUPPORTED BY THE NETHERLANDS ORGANIZATION FOR SCIENTIFIC RESEARCH (NWO) THROUGH A RUBICON GRANT [GRANT NUMBER 446-16-003/1276]. THE AUTHORS WOULD LIKE TO THANK MARTIJN VAN DER KLIS FOR HIS TECHNICAL ASSISTANCE.
THIS RESEARCH WAS SUPPORTED BY THE I-CORE PROGRAM OF THE PLANNING AND BUDGETING COMMITTEE AND THE ISRAEL SCIENCE FOUNDATION (1716/20).
THIS WORK WAS FINANCIALLY SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY IN TAIWAN UNDER THE FOLLOWING GRANT NUMBERS: MOST 105-2628-S-003-004-MY3, 106-2511-S-003-064-MY3 AND 106-2628-S-020-001-MY3. IT WAS ALSO SUPPORTED BY THE 'INSTITUTE FOR RESEARCH EXCELLENCE IN LEARNING SCIENCES' OF NTNU SPONSORED BY THE MINISTRY OF EDUCATION (MOE) IN TAIWAN.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBERS JP16K01069, 16K01116, 17K01136, AND JP19K12272.
THIS WORK WAS SUPPORTED BY THE SPANISH GOVERNMENT UNDER THE VISAIGLE PROJECT (GRANT TIN2017-85797-R); AND THE ANDALUSIAN GOVERNMENT UNDER THE PROGRAMME FOR RESEARCH AND INNOVATION IN EDUCATION (GRANT PI2_12_029).
THIS WORK WAS FUNDED IN PART BY THE MICHIGAN INSTITUTE FOR DATA SCIENCE (MIDAS) HOLISTIC MODELING OF EDUCATION (HOME) PROJECT, AND THE UNIVERSITY OF MICHIGAN THIRD CENTURY INITIATIVE. THE AUTHORS WOULD LIKE TO THANK THE FOUR ANONYMOUS REVIEWERS FOR THEIR COMMENTS ON THE WORK.
AUTHORS WOULD LIKE TO THANK ALL THE TEACHERS WHO PARTICIPATED IN THE COMMUNITIES STUDIED AS WELL AS JUAN ASENSIO-PEREZ, SARA VILLAGRA-SOBRINO, PABLO ABENIA AND JUDIT MARTINEZ. DHL IS A SERRA HTINTER FELLOW. THIS WORK HAS BEEN PARTIALLY FUNDED BY "LA CAIXA FOUNDATION" (COT PROJECT, 100010434); BY THE EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES, UNDER PROJECT GRANTS TIN 2014-53199-C3-3-R, TIN 2014 -53199-C3-2-R, TIN 2017-85179-C3-2-R, TIN 2017-85179-C3-3-R, MDM-2015-0502.
THIS WORK HAS BEEN SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, REPUBLIC OF CHINA, TAIWAN UNDER CONTRACT NUMBERS MOST 104-2511-S-008-011.
PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 16H03078 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS WORK IS SUPPORTED BY NSF GRANT 1339344.
THIS RESEARCH IS FUNDED IN PART BY GRANTS FROM US NATIONAL SCIENCE FOUNDATION (NSF) [EAGER-1419055 AND DGE-1439570].
THIS WORK WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH PROJECTS CO-PRIVACY (TIN2011-27076-C03-02) AND SMARTGLACIS (TIN2014-57364-C2-2-R).
THIS WORK HAS BEEN SUPPORTED BY THE EEE PROJECT (SPANISH MINISTRY OF SCIENCE AND INNOVATION, "PLAN NACIONAL DE I+D-I TIN2011-28308-C03-01), THE "GEEWHEZ: MANAGEMENT AND LEISURE MIDDLEWARE FOR THEME PARKS AND ZOO" PROJECT (EUROPEAN COMMISSION UNDER GRANT FP7-SME-2011-286533) AND THE POSTDOCTORAL FELLOWSHIP ALLIANCE 4 UNIVERSITIES.
THIS WORK IS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN UNDER GRANTS MOST-109-2511-H-008-007-MY3, MOST-108-2511-H-008-009-MY3, MOST-110-2511-H-153-001, AND MINISTRY OF EDUCATION, TAIWAN.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE GENEROUS SUPPORT AND ENCOURAGEMENT OF THE FORMER ACADEMIC DIRECTOR OF THE SCHOOL OF MEDICAL SCIENCES ASSOCIATE PROFESSOR ROGER BOOTH, EDITING AND PROOF-READING ADVICE FROM DR. IAN BRAILSFORD, AND THE STUDENTS IN MEDSCI 142.
THIS STUDY WAS FUNDED IN PART BY THE NATIONAL SCIENCE FOUNDATION (GRANTS CNS-1138461, CNS-1441041, AND DRL-1020101), THE SPENCER FOUNDATION (AWARD #201600069), THE NATIONAL SCIENCE FOUNDATION (DRL-1661036, DRL-1713110), THE WISCONSIN ALUMNI RESEARCH FOUNDATION, AND THE OFFICE OF THE VICE CHANCELLOR FOR RESEARCH AND GRADUATE EDUCATION AT THE UNIVERSITY OF WISCONSIN-MADISON. THE OPINIONS, FINDINGS, AND CONCLUSIONS DO NOT REFLECT THE VIEWS OF THE FUNDING AGENCIES, COOPERATING INSTITUTIONS, OR OTHER INDIVIDUALS. THANK YOU TO DAISY RUTSTEIN FROM SRI FOR PROVIDING FEEDBACK ON THE DEVELOPMENT OF THE PRE-POST ASSESSMENTS.
THIS RESEARCH IS SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION, PRIME MINISTER'S OFFICE, SINGAPORE UNDER ITS STRATEGIC CAPABILITY RESEARCH CENTRES FUNDING INITIATIVE; NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA, NO.: 61702302; AND FUNDAMENTAL RESEARCH FUNDS OF SHANDONG UNIVERSITY (NO. 2017HW001).
THIS WORK HAS BEEN CO-FOUNDED BY THE EACEA THROUGH THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION, PROJECTS MOOC-MAKER (561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP), SHEILA (562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD) AND LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), BY THE CONSEJERIA DE EDUCACION, JUVENTUD Y DEPORTE, COMUNIDAD DE MADRID (MADRID REGIONAL GOVERNMENT), THROUGH THE EMADRID EXCELLENCE NETWORK (S2013/ICE-2715), AND BY THE MINISTRY OF ECONOMY AND COMPETITIVENESS IN SPAIN, PROJECTS RESET (TIN2014-53199-C3-1-R), SNOLA (TIN2015-71669-REDT) AND SMARTLET (TIN2017-85179-C3-1-R). THE LATTER IS FINANCED BY THE AGENCIA ESTATAL DE INVESTIGACION (STATE RESEARCH AGENCY) IN SPAIN, AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER). IT HAS ALSO BEEN SUPPORTED BY THE MINISTRY OF EDUCATION, CULTURE AND SPORT IN SPAIN, UNDER AN FPU FELLOWSHIP (FPU016/00526).
THIS RESEARCH HAS BEEN CO-FUNDED BY THE EUROPEAN COMMISSION WITHIN THE FP7 ICT TEL PROJECT NEXT-TELL, WWW.NEXT-TELL.EU.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP19K12273.
THE WORK DESCRIBED IN THIS PAPER WAS PARTIALLY SUPPORTED BY A RESEARCH GRANT BY UNIVERSITY TUN HUSSEIN ONN MALAYSIA UNDER THE MINISTRY OF EDUCATION, MALAYSIA (GRANT REF: PPG V023). THE AUTHOR ALSO WISH TO EHIS SINCERE APPRECIATION TO DR. LEE MING FOONG FOR HER INVALUABLE ADVICE AND SUGGESTIONS ON RESEARCH METHODOLOGY DURING THE COURSE OF THIS STUDY.XTEND
THIS WORK WAS SUPPORTED BY THE HIGHER EDUCATION FUNDING COUNCIL FOR ENGLAND [A LONGITUDINAL MIXED-METHOD STUDY OF LEARNING GAINS: APPLYING ABC FRAMEWORK AT THREE INSTITUTIONS].
THIS STUDY HAS BEEN SUPPORTED BY THE OUJ CENTER FOR ONLINE EDUCATION. WE ARE GRATEFUL TO ALL STUDENTS WHO ATTENDED THE "THE PERSONAL COMPUTER FOR BEGINNERS" DLT SESSION AND COMPLETED THE CHECKLISTS.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. DRL-1742195. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION. WE THANK RON FRIED, REINA FUJII, SATABDI BASU, AND JAMES HONG FOR THEIR WORK.
WE WOULD LIKE TO THANK THE ANONYMOUS REVIEWERS FOR THEIR HELPFUL COMMENTS TO IMPROVE THIS PAPER. WE ALSO THANK THE SUPPORT OF KEY PROGRAM OF NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61432020, 61532001) AND RESEARCH FUND OF RESEARCH CENTER FOR ONLINE EDUCATION OF MINISTRY OF EDUCATION OF CHINA (2016YB150, 2016YB151).
THE AUTHORS ARE TRULY INDEBTED TO LUIS SANCHEZ FERNANDEZ FOR HIS INSIGHTFUL COMMENTS ABOUT THE LEXICAL ANALYSIS, AS WELL AS THE TEACHING STAFF THAT PARTICIPATED ON THE EXPERIENCE. WORK PARTIALLY FUNDED BY THE LEARN3 PROJECT, "PLAN NACIONAL DE I+D+I TIN2008-05163/TSI", THE ACCION INTEGRADA REF. DE2009-0051, THE "EMADRID: INVESTIGACION Y DESARROLLO DE TECNOLOGIAS PARA EL E-LEARNING EN LA COMUNIDAD DE MADRID" PROJECT (S2009/TIC-1650) AND TELMA PROJECT (PLAN AVANZA TSI-020110-2009-85).
THIS RESEARCH WAS SUPPORTED BY THE EU-FP7-ICT-257184 IMREAL GRANT, A TEACHING DEVELOPMENT GRANT FROM THE UNIVERSITY OF CANTERBURY, AND AN AKO AOTEAROA GRANT. WE THANK LYDIA LAU AND AMALI WEERASINGHE FOR THEIR CONTRIBUTION TO DESIGNING AND CONDUCTING THE USER STUDY, AND WE THANK ALL PARTICIPANTS IN THE EXPERIMENTAL STUDY. REGARDING THE ANALYSIS METHODOLOGY, WE ACKNOWLEDGE TO HAVE DRAWN ON RESULTS FROM THE EU PROJECT JUXTALEARN (EU-FP7-ICT-317964).
THIS WORK PRESENTED IN THIS PAPER IS SUPPORTED BY THE NEXT-TELL NEXT GENERATION TEACHING, EDUCATION AND LEARNING FOR LIFE INTEGRATED PROJECT CO-FUNDED BY THE EUROPEAN UNION UNDER THE ICT THEME OF THE 7TH FRAMEWORK PROGRAMME FOR R&D (FP7).
THIS WORK HAS BEEN SUPPORTED IN PART BY: DE MINISTERIO ESPANOL DE ECONOMIA Y COMPETITIVIDAD UNDER PROJECT TIN2014-56494-C4-3-P (UGR-EPHEMECH), DEEPBIO (TIN2017-85727-C4-2-P) AND BY CONACYT PEI PROJECT NO. 220590.
SPECIAL THANKS TO TARUN YELLAMRAJU FOR HELP WITH DATA ANALYSIS AND FIGURE CREATION. THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. EEC-1544244.
THIS RESEARCH IS THE PRODUCT OF PROJECT 266632 "BINATIONAL LABORATORY FOR THE INTELLIGENT MANAGEMENT OF ENERGY SUSTAINABILITY AND TECHNOLOGICAL TRAINING", FUNDED BY THE CONACYT-SENER ENERGY FUND. SUSTAINABILITY (AGREEMENT: S0019-2014-01)
THE FOLLOWING PAPER HAS BEEN SUPPORTED BY EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, ARETE PROJECT UNDER GRANT AGREEMENT NO 856533.
THIS COLLABORATIVE RESEARCH WAS PARTIALLY FUNDED BY THE SPIRITS 2020 OF KYOTO UNIVERSITY.
THIS WORK WAS SUPPORTED IN PART BY THE FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES-AGENCIA ESTATAL DE INVESTIGACION, THROUGH THE SMARTLET PROJECT UNDER GRANT TIN201785179-C3-1-R, AND IN PART BY THE MADRID REGIONAL GOVERNMENT THROUGH THE E-MADRID-CM PROJECT UNDER GRANT S2018/TCS-4307, A PROJECT WHICH IS CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS (FSE AND FEDER). PARTIAL SUPPORT HAS ALSO BEEN RECEIVED FROM THE EUROPEAN COMMISSION THROUGH ERASMUS+ CAPACITY BUILDING IN THE FIELD OF HIGHER EDUCATION PROJECTS, MORE SPECIFICALLY THROUGH PROJECTS LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), INNOVAT (598758-EPP-1-2018-1-AT-EPPKA2CBHE-JP), AND PROF-XXI (609767-EPP-1-2019-1-ES-EPPKA2-CBHE-JP). THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS AND FUNDERS CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS RESEARCH WAS FUNDED THROUGH ZAYED UNIVERSITY RESEARCH INCENTIVE FUND R71068
IN CONDUCTING THIS EXPERIMENT, WE RECEIVED MUCH COOPERATION FROM MR. MASAKAZU HASEGAWA OF MATSUDAI HIGH SCHOOL OF NIIGATA PREFECTURE. IN ADDITION, MR. KAZUYUKI KIDO GAVE US INVALUABLE SUPPORT. PART OF THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP16K00491.
THIS STUDY WAS SUPPORTED BY PROFESSOR C. SACKLEY'S NIHR SENIOR INVESTIGATOR AWARD. THE AUTHORS WOULD FIRSTLY LIKE TO THANK THE STUDENTS WHO PARTICIPATED IN THIS STUDY AND CONTRIBUTED TO MAKING IT A SUCCESS. THEY WOULD ALSO LIKE TO ACKNOWLEDGE AND THANK DR LINDSAY BEARNE FOR RUNNING ONE OF THE FOCUS GROUPS, DR MICHAEL FLAVIN FOR HIS METHODOLOGICAL ADVICE AND MR NABIL ASIF FOR HIS TECHNOLOGICAL SUPPORT.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. DUE-1612132. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION.
SUPPORTED BY THE UNKP-17-4-III-BCE-41 NEW NATIONAL EXCELLENCE PROGRAM OF THE MINISTRY OF HUMAN CAPACITIES.
THE WORK RECEIVED PARTIAL SUPPORT FROM FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES-AGENCIA ESTATAL DE INVESTIGACION THROUGH PROJECT SMARTLET (TIN2017-85179-C3-1-R), FROM THE EMADRID NETWORK, WHICH IS FUNDED BY THE MADRID REGIONAL GOVERNMENT (COMUNIDAD DE MADRID) WITH GRANT NO. P2018/TCS-4307 AND FROM THE EUROPEAN COMMISSION THROUGH ERASMUS+PROJECTS LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), INNOVAT (598758-EPP-1-2018-1-AT-EPPKA2- CBHE-JP) AND PROF-XXI (609767-EPP-1-2019-1- ES-EPPKA2-CBHE-JP). THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS AND FUNDERS CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS RESEARCH IS SUPPORTED IN PART BY THE NEWTON PROJECT (WWW.NEWTONPROJECT.EU) FUNDED UNDER THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENT NO. 688503.
THE SECOND AND FOURTH AUTHORS WANT TO THANK THE PROJECTS "EMADRID" (REGIONAL GOVERNMENT OF MADRID) UNDER GRANT S2013/ICE-2715 AND "RESET" (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT RESET TIN2014-53199-C3-1-R FOR PARTIALLY SUPPORTING THIS WORK.
WE THANK THE REVIEWERS WHO PROVIDED VALUABLE INSIGHTS AND SUGGESTIONS FOR IMPROVING THE ARTICLE AND DR. LIZELLE FLETCHER FOR HER CRITICAL REVIEW OF THE PAPER. WE ALSO THANK MEMBERS OF THE MLB 111 LECTURING TEAM FOR THEIR SUPPORT. THIS ARTICLE IS BASED ON RESEARCH SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION OF SOUTH AFRICA (GRANTS #91547 AND #110878).
THIS WORK WAS PARTIALLY SUPPORTED BY THE MINISTRY OF EDUCATION, YOUTH AND SPORTS OF THE CZECH REPUBLIC FROM THE NATIONAL PROGRAMME OF SUSTAINABILITY (NPU II) PROJECT "IT4INNOVATIONS EXCELLENCE IN SCIENCE -LQ1602".
MINISTRY OF SCIENCE AND TECHNOLOGY, GRANT/AWARD NUMBERS: MOST 105-2218-E-006-028 AND MOST 105-2221-E-155-059-MY2
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER THE GRANT TITLED OUTCOME PREDICTIONS OF STUDENTS IN MASSIVE OPEN ONLINE COURSES (OPSMOOC) (GRANT NUMBER DRL-1337166) AND EAGER: STUDENT OUTCOMES IN A COMPUTER SCIENCE MOOC (SOCSMOOC) (GRANT NUMBER DUE-1352696). ANY OPINIONS, FINDINGS, AND CONCLUSIONS IN THIS ARTICLE ARE THE AUTHORS' AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION. WE THANK GLENN B. LOPEZ FOR TRANSMITTING, AND ALAALDEN IBRAHIM AND JOHN MURRAY FOR PROCESSING, THE MOOC DATA. WE ALSO THANK THOSE WHO GAVE US ADDITIONAL SUPPORT AND DIRECTION: CHARLES ALCOCK, LORI BRESLOW, ANDREW HO, ANNIE VALVA, ROB LUE, AND WENDY BERLAND.
THE AUTHORS GREATLY APPRECIATE THE FACULTY MEMBERS AND THE SECRETARIAT STAFFS OF THE UNIVERSITIES WHO TAKE TIME TO ANSWER THE SURVEY. THIS SURVEY PROJECT IS SUPPORTED BY THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT), JAPAN.
THIS STUDY WAS FINANCED IN PART BY THE COORDENACO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR -BRASIL (CAPES) FINANCE CODE 001 AND FUNDACAO DE APOIO A PESQUISA DO DISTRITO FEDERAL (FAP-DF). MARISTELA HOLANDA THANKS THE FAP-DF BRAZIL, FOR THE POSTDOCTORAL GRANT, EDITAL UNB-DPG 05-2018 BOLSA DE POS-DOUTORADO NO EXTERIOR FAPDF.
THIS STUDY IS PARTIALLY FUNDED BY THE INTERDISCIPLINARY LABORATORY FOR THE QUALITY AND INNOVATION OF DIDACTICS (LIQUID) OF THE UNIVERSITY OF TRENTO, AS PART OF THE 2017-2021 UNIVERSITY STRATEGIC PLAN.; THIS STUDY IS A PHASED RESULT OF "EVALUATING THE QUALITY OF MOOCS IN THE ERA OF BIG DATA" (NO. CCHA17146) FUNDED BY BEIJING OFFICE FOR EDUCATIONAL SCIENCES PLANNING.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION. THIS ARTICLE IS AN EXTENDED AND MODIFIED VERSION OF A PAPER PRESENTED AT THE FIFTH INTERNATIONAL WORKSHOP ON ADAPTIVE LEARNING VIA INTERACTIVE, COLLABORATIVE AND EMOTIONAL APPROACHES (ALICE 2015) IN CONJUNCTION WITH THE SEVENTH INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS 2015), HELD IN TAIPEI, TAIWAN, SEPTEMBER 2-4, 2015.SUBMITTED 26 MAY 2016. PUBLISHED AS RESUBMITTED BY THE AUTHORS 28 JUNE 2916.
WE THANK N. KOBAYASHI, M. NISHIURA, AND M. MOHRI FOR THEIR ADMINISTRATIVE AND MANAGEMENT ADVICE, AS WELL AS THE TUTORS AT KU-WRC FOR COUNSELING AND GATHERING DATA. THE KANSAI UNIVERSITY EDUCATION RESEARCH ADVANCEMENT EXPENDITURE OF 2016, "EDUCATIONAL SYSTEM DEVELOPMENT AND DESIGN PRINCIPLES FOR NURTURING ACADEMIC AND WRITING ABILITY,"SUPPORTED THIS STUDY.
SUPPORT FOR THIS PUBLICATION WAS PROVIDED BY THE GERMAN FEDERAL MINISTRY OF EDUCATION AND RESEARCH (BMBF) IN THE CONTEXT OF THE FEDERAL "QUALITY PACT FOR TEACHING" (REF. NUMBER 01PL12012). RESPONSIBILITY FOR THE CONTENT PUBLISHED IN THIS ARTICLE, INCLUDING ANY OPINIONS EXPRESSED THEREIN, RESTS EXCLUSIVELY WITH THE AUTHOR. TEST ITEMS AND LEARNING MATERIAL ARE LICENSED UNDER THE CREATIVE COMMONS ATTRIBUTION 3.0 UNPORTED AND CAN BE PROVIDED VIA WWW.OPTES.DE.
THIS RESEARCH WORK WAS SUPPORTED PARTIALLY BY PRESTO FROM JAPAN SCIENCE AND TECHNOLOGY AGENCY, AND THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 25282059, AND 26560122 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
WE WOULD LIKE TO EXPRESS OUR GRATITUDE TO KOHEI YUGE (SEIKEI UNIVERSITY) AND KIIKO KATSUNO-MATSUMOTO (SEIKEI UNIVERSITY) FOR THE ARRANGEMENT OF THE CLASS, AND JAPAN SOCIETY FOR EDUCATIONAL TECHNOLOGY SIG-03 (DEVELOPMENT AND PRACTICE OF EDUCATION AND LEARNING MANAGEMENT SYSTEMS) FOR PROVIDING THE OPPORTUNITY TO COLLABORATE AMONG THE AUTHORS AND DEEPLY DISCUSS THIS STUDY. THE RESEARCH IS PARTIALLY SUPPORTED BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF THE NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN; GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S), 16H06304; THE EDUCATION ENHANCEMENT PROGRAM (EEP) OF KYUSHU UNIVERSITY; AND GRANT-IN-AID FOR SCIENTIFIC RESEARCH (C), 24501147.
THIS STUDY WAS SUPPORTED BY JSPS RESEARCH GRANTS JP7H01842 AND THE NATIONAL INSTITUTE OF INFORMATICS 2017 JOINT RESEARCH STRATEGY RESEARCH PROPOSAL NO. 13. THE AUTHORS ALSO WOULD LIKE TO THANK ENAGO (WWW.ENAGO.JP) FOR THE ENGLISH LANGUAGE REVIEW.
THE RESEARCH DESCRIBED IN THIS ARTICLE WAS PARTIALLY FUNDED BY THE SUPPORT PLAN FOR TEACHING INNOVATION GROUPS (PAGID) OF THE UNIVERSITY OF LEON 2018 AND BY THE EUROPEAN COMMISSION UNDER GRANT 2018-1-ES01-KA201-050939: ROBOSTEAM-INTEGRATING STEAM AND COMPUTATIONAL THINKING DEVELOPMENT BY USING ROBOTICS AND PHYSICAL DEVICES.
THANKS TO THE CONCORD CONSORTIUM FOR SUPPORTING THIS WORK. WE WOULD ALSO LIKE TO THANK THE CHILDREN AND TEACHERS INVOLVING IN THIS STUDY FOR MAKING IT POSSIBLE.
THIS WORK WAS PARTIALLY FUNDED BY THE SLOVENIAN RESEARCH AGENCY (JAVNA AGENCIJA ZA RAZISKOVALNO DEJAVNOST RS), GRANT NO. P2-0246 (B), ALGORITHMS AND OPTIMIZATION METHODS IN TELECOMMUNICATIONS.
THIS RESEARCH WAS SUPPORTED BY THE FOLLOWING GRANTS JSPS 20K20131, JSPS 16H06304, SPIRITS 2020 OF KYOTO UNIVERSITY, NEDO JPNP18013, NEDO JPNP20006.
THIS WORK WAS SUPPORTED IN PART BY INNOVIRIS, THE BRUSSELS REGION RESEARCH FUNDING AGENCY, BRUSSELS, BELGIUM. THE THIRD AUTHOR GRATEFULLY ACKNOWLEDGES FINANCIAL SUPPORT FROM CONICYT PIA/BASAL AFB180003 AND FONDECYT, GRANT 11607384.
THE 'M C SQUARED' PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION SEVENTH FRAMEWORK PROGRAMME (FP7/2007-2013)UNDER GRANT AGREEMENT NO 610467.
WE THANK THE UNIVERSITY OF QUEENSLAND FOR PROVIDING ACCESS TO THEIR REMOTE RADIOACTIVITY LAB. THIS WORK IS SUPPORTED IN PART BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT IIS-1216389. HOWEVER, ANY OPINIONS, FINDINGS, CONCLUSIONS, AND/OR RECOMMENDATIONS ARE THOSE OF THE INVESTIGATORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE FOUNDATION.
THIS RESEARCH WAS SUPPORTED BY AN US NSF GRANT #1636848 (BIG DATA SPOKES: COLLABORATIVE: USING BIG DATA FOR ENVIRONMENTAL SUSTAINABILITY: BIG DATA + AI TECHNOLOGY = ACCESSIBLE, USABLE, USEFUL KNOWLEDGE!) AND THE NSF SOUTH BIGDATA HUB. THIS RESEARCH WAS CONDUCTED IN ACCORDANCE WITH THE INSTITUTE REVIEW BOARD PROTOCOL #H18258. WE THANK ROBERT BATES FOR HIS HELP IN CONSTRUCTING THE VERA SYSTEM. WE THANK ANONYMOUS REVIEWERS OF PREVIOUS DRAFTS FOR THEIR HELPFUL COMMENTS AND SUGGESTIONS.
THIS WORK WAS SUPPORTED BY A GOOGLE (TM) FACULTY RESEARCH AWARD GRANT: "IDENTIFYING LEARNING BENEFITS OF GOOGLE EARTH (TM) TOURS IN EDUCATION".
THIS RESEARCH WAS FUNDED BY A GRANT FROM THE BURROUGHS-WELLCOME FUND'S STUDENT SCIENCE ENRICHMENT PROGRAM (SSEP).
THIS PROJECT IS PARTIALLY FUNDED BY MINISTRY OF SCIENCE AND TECHNOLOGY OF TAIWAN. THE AUTHORS WOULD LIKE TO THANK DR. JIAN-WEI TZENG AND PROF. CHENG-TE CHEN FOR THEIR DEDICATION TO THIS STUDY. WE ALSO LIKE TO THANK THREE ANONYMOUS PAPER REVIEWERS FOR THEIR INFORMATIVE COMMENTS.
THIS WORK HAS BEEN FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS PROJECT TIN2011-28308-C03-01 AND THE REGIONAL GOVERNMENT OF MADRID PROJECT S2013/ICE-2715.
THE AUTHORS WOULD LIKE TO THANK THE MINISTRY OF SCIENCE AND TECHNOLOGY OF THE REPUBLIC OF CHINA, TAIWAN, FOR FINANCIAL SUPPORT (MOST 108-2511-H-008-011-MY3 AND MOST 108-2629-H-008-001-MY3).
WE WOULD LIKE TO THANK MEUTUTOR TEAM FOR PROVIDING US ACCESS TO THE NECESSARY DATA TO PLAN, IMPLEMENT AND TEST OUR IDEAS, AND WE WOULD ALSO LIKE TO THANK W3C BRASIL/CEWEB/NIC.BR. FINALLY, WE ACKNOWLEDGE THE FINANCIAL SUPPORT PROVIDED BY CAPES/CNPQ.
PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO. 16H03078 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS STUDY IS SUPPORTED IN PART BY THE NATIONAL SCIENCE COUNCIL OF THE REPUBLIC OF CHINA. (MOST 106-2622-S-008 -002 -CC3 AND MOST 106-2511-S-008-006)
WORK PARTIALLY FUNDED BY THE MADRID REGIONAL GOVERNMENT WITH GRANT NO. S2013/ICE-2715, THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS PROJECTS RESET (TIN2014-53199-C3-1-R) AND FLEXOR (TIN2014-52129-R) AND THE EUROPEAN ERASMUS+ PROJECTS MOOC MAKER (561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP) AND SHEILA (562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD). THIS RESEARCH WORK WAS MADE POSSIBLE THANKS TO UNIVERSIDAD AUTONOMA DE MADRID, WHICH PROVIDED US WITH THE DATASET, AND TO PROF. PEDRO GARCIA, WHO WAS THE INSTRUCTOR OF THE SELECTED MOOC.
THIS WORK WAS SUPPORTED IN PARTY BY JSPS KAKENHI GRANT NO. 26540183, 26350357 AND 16H02926.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY GRANT-IN-AID FOR SCIENTIFIC RESEARCH JP16H06304,JP16H03080, JP17K18659 AND THE QDAI-JUMP RESEARCH (QR) PROGRAM OF KYUSHU UNIVERSITY.
THIS WORK WAS SUPPORTED BY FONDECYT (11150231), UNIVERSITY OF COSTA RICA (UCR), CONICYT DOCTORADO NACIONAL 2017/21170467, AND CONICYT DOCTORADO NACIONAL 2016/21160081, THE PROJECT "ANALITICA DEL APRENDIZAJE PARA EL ESTUDIO DE ESTRATEGIAS DE APRENDIZAJE AUTORREGULADO EN UN CONTEXTO DE APRENDIZAJE HIBRIDO - DIUC XVIII 2019 54" FINANCIADO POR LA DIRECCION DE INVESTIGACION DE LA UNIVERSIDAD DE CUENCA (DIUC), CUENCA-ECUADOR, AND THE LALA PROJECT (GRANT NO. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). THIS PROJECT HAS BEEN FUNDED WITH SUPPORT FROM THE EUROPEAN COMMISSION. THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHOR, AND THE COMMISSION AND THE AGENCY CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP15K16262.
THE AUTHORS GRATEFULLY ACKNOWLEDGE SUPPORT FROM A DIGITAL LEARNING STRATEGY INNOVATION GRANT PROVIDED THROUGH LA TROBE LEARNING AND TEACHING AT LA TROBE UNIVERSITY, MELBOURNE. THEY WOULD ALSO LIKE TO ACKNOWLEDGE THE ASSISTANCE OF JAMES HEATH IN RESEARCH ASSISTANCE ASSOCIATED WITH THIS WORK.
WORK PARTIALLY FUNDED BY THE EEE PROJECT, "PLAN NACIONAL DE I+D+I TIN2011-28308-C03-01" AND THE "EMADRID: INVESTIGACION Y DESARROLLO DE TECNOLOGIAS PARA EL E-LEARNING EN LA COMUNIDAD DE MADRID" PROJECT (S2009/TIC-1650)".
T.B. AND R.S. WERE SUPPORTED BY NATIONAL INSTITUTES OF HEALTH UNDER GRANT K01 LM012439-02. J.G. WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT 1742339.
THIS WORK HAS BEEN CO-FUNDED BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE EMADRID EXCELLENCE NETWORK (S2013/ICE-2715), BY THE EUROPEAN COMMISSION THROUGH ERASMUS+ PROJECTS MOOC-MAKER (561533-EPP-1-2015-1-ESEPPKA2-CBHE-JP), SHEILA (562080-EPP-1-2015-1-BEEPPKA3-PI-FORWARD), AND LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), AND BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS, PROJECTS SNOLA (TIN2015-71669-REDT), RESET (TIN2014-53199-C3-1-R) AND SMARTLET (TIN2017-85179-C3-1-R). THE LATTER IS FINANCED BY THE STATE RESEARCH AGENCY IN SPAIN (AEI) AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER). IT HAS ALSO BEEN SUPPORTED BY THE SPANISH MINISTRY OF EDUCATION, CULTURE AND SPORT, UNDER A FPU FELLOWSHIP (FPU016/00526).
WE ARE GRATEFUL FOR THE SUPPORT FROM HARVARD UNIVERSITY AND MIT, SPECIFICALLY, THE OFFICE OF THE VICE PROVOST FOR ADVANCES IN LEARNING AT HARVARD, THE OFFICE OF DIGITAL LEARNING AT MIT, AND THE VPAL-RESEARCH GROUP. SPECIAL THANKS TO PROFESSOR JIM WALDO FOR EARLY CONTRIBUTIONS AND THE MANY OTHERS CONTRIBUTING TO THE OPEN SOURCE CODE BASE. ABOVE ALL, WE ARE THANKFUL FOR THE TIRELESS EFFORTS OF HARVARDX AND MITX COURSE DESIGNERS WHOSE MOOCS MAKE THIS PROJECT POSSIBLE.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE EUROPEAN UNION FOR PROJECT 517836-LLP-1-2011-ES-ERASMUS-ESMO "RIPLECS, REMOTE-LABS ACCESS IN INTERNET-BASED PERFORMANCE-CENTRED LEARNING ENVIRONMENT FOR CURRICULUM SUPPORT" AND PROJECT 517742-LLP-1-2011-1-BG-ERASMUSECUE "PAC, PERFORMANCE-CENTRED ADAPTIVE CURRICULUM FOR EMPLOYMENT NEEDS"; AND SPANISH MINISTRY OF SCIENCE AND INNOVATION FOR THE PROJECT TIN2008-06083-C03/TSI "S-LABS, INTEGRACION DE SERVICIOS ABIERTOS PARA LABORATORIOS REMOTOS Y VIRTUALES DISTRIBUIDOS". WE ALSO THANK THE AUTONOMOUS REGION OF MADRID FOR THE SUPPORT OF E-MADRID NETWORK OF EXCELLENCE S2009 TIC-1650.
THE WORK DESCRIBED IN THIS PAPER WAS FULLY SUPPORTED BY THE START-UP RESEARCH GRANT (RG 54/2017-2018R) OF THE EDUCATION UNIVERSITY OF HONG KONG AND THE INNOVATION AND TECHNOLOGY FUND (PROJECT NO. GHP/022/17GD) FROM THE INNOVATION AND TECHNOLOGY COMMISSION OF THE GOVERNMENT OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBERS 19K12273.
WE WOULD LIKE TO THANK THE PRINCIPAL AND MANAGEMENT OF PES UNIVERSITY (PESU) FOR THEIR SUPPORT IN PUBLISHING THIS PAPER. ALSO, WE EXTEND OUR GRATITUDE TO ORDELL UGO, A VIRTUAL CONCEPT AND FRAMEWORK AT PESU FOR PROVIDING A PLATFORM TO CARRY OUT THIS PROJECT.
THIS WORK WAS SUPPORTED BY FONDECYT GRANT 1131109.
THIS RESEARCH WAS FUNDED BY KENNISNET, THE KNOWLEDGE CENTRE FOR INFORMATION AND COMMUNICATION TECHNOLOGIES AND EDUCATION IN THE NETHERLANDS.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE EC H2020 PROJECT RAGE (REALISING AND APPLIED GAMING ECO-SYSTEM) HTTP://WWW.RAGEPROJECT.EU/GRANT AGREEMENT NO 644187. THE AUTHORS ARE THANKFUL TO LARISA STAVARACHE WHO CRAWLED THE ANALYZED DATA.
THIS WORK WAS PARTLY SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (B)20H01722, JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S)16H06304 AND NEDO SPECIAL INNOVATION PROGRAM ON AI AND BIG DATA 18102059-0.
THIS RESEARCH WAS FUNDED BY THE DIANE AND GARY TOOKER CHAIR FOR EFFECTIVE EDUCATION IN SCIENCE, TECHNOLOGY, ENGINEERING AND MATH, AND BY THE BILL AND MELINDA GATES FOUNDATION UNDER GRANT OPP106128.
THIS WORK IS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20).
SUPPORT FOR THIS PUBLICATION/ACTIVITY HAS BEEN PROVIDED BY THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING. THE VIEWS EXPRESSED IN THIS PUBLICATION/ACTIVITY DO NOT NECESSARILY REFLECT THE VIEWS OF THE AUSTRALIAN GOVERNMENT OFFICE FOR LEARNING AND TEACHING.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF THE INTERNATIONAL DOCTORAL SCHOOL OF THE UNED AND THE STAFF OF THE MASTER OF INFORMATION AND COMMUNICATION ELECTRONIC SYSTEMS FOR THEIR SUPPORT.
THIS WORK IS PARTLY SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA UNDER GRANT NO. 61503340 AND ZHEJIANG PROVINCIAL NATURAL SCIENCE FOUNDATION OF UNDER GRANT NO. LQ16F030008.
THIS RESEARCH WORK HAS BEEN SUPPORTED BY THE SPANISH MINISTRY OF EDUCATION AND VOCATIONAL TRAINING UNDER AN FPU FELLOWSHIP (FPU17/03276). THIS WORK HAS BEEN PARTIALLY FUNDED BY THE SPANISH GOVERNMENT MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGHOUT THE DEFINES PROJECT (REF. TIN2016-80172-R) AND THE MINISTRY OF EDUCATION OF THE JUNTA DE CASTILLA Y LEON (SPAIN) THROUGHOUT THE T-CUIDA PROJECT (REF. SA061P17).
THIS WORK IS PARTIALLY SUPPORTED BY FUNDS OF THE FACULTY OF ENGINEERING AND COMPUTING AT COVENTRY UNIVERSITY, AND FUNDS FROM EU ICT-20-2015 PROJECT SLIDEWIKI GRANTED BY THE EUROPEAN COMMISSION.
THIS WORK WAS SUPPORTED IN PART BY THE CHILEAN ECONOMIC DEVELOPMENT AGENCY (CORFO) UNDER PROJECT 14ENI2-26905, IN PART BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES UNDER PROJECT DPI2016-77677-P, AND IN PART BY THE COMMUNITY OF MADRID UNDER GRANT ROBOCITY2030-DIH-CM P2018/NMT-4331.
THE AUTHOR APPRECIATES THE FINANCIAL SUPPORT PROVIDED BY THE UNIVERSITY OF ZARAGOZA FOR THE DEVELOPMENT OF THE PRESENT WORK, BY MEANS OF THE EDUCATIONAL INNOVATION PROGRAM (PIIDUZ 2019/20). LINE 1: IMPLEMENT ACTIVE METHODOLOGIES TO ACHIEVE AN IMPROVEMENT OF THE TEACHING-LEARNING PROCESS, DEVELOP EDUCATIONAL INNOVATION EXPERIENCES BASED ON NEW TECHNOLOGIES, WITH THE OBJECTIVE TO IMPROVE THE CURRICULUM OF SUBJECTS AND IMPROVE METHODOLOGIES AND ASSOCIATED RESOURCES. REFERENCE PROJECT: PIIDUZ_19_268. THE AUTHOR ALSO WANTS TO THANK THE SANTANDER BANK-UNIVERSITY OF ZARAGOZA CHAIR BY THE SANTANDER AWARD RECEIVED IN ITS EIGHTH & TENTH EDITION. THIS AWARD IS INTENDED TO RECOGNIZE THE ACTIONS AND HIGHLIGHTED RESULTS IN THE USE OF ICT IN EDUCATIONAL INNOVATION THAT CONTRIBUTE SUBSTANTIALLY TO THE IMPROVEMENT OF THE QUALITY OF UNIVERSITY EDUCATION.; IN THE SAME WAY, HE WANTS TO THANKS THE ASSOCIATION EDUTEC (ASSOCIATION FOR THE DEVELOPMENT OF EDUCATIONAL TECHNOLOGY AND NEW TECHNOLOGIES APPLIED TO EDUCATION) AND THE FOUNDATION "D<SUP>A</SUP> MARIA PAULA ALONSO DE RUIZ MARTINEZ" FOR THE AWARD GRANTED. THE PURPOSE OF THIS INTERNATIONAL AWARD IS THE DEVELOPMENT AND PROMOTION OF EDUCATIONAL TECHNOLOGY IN SPAIN, PORTUGAL AND LATIN AMERICA, CONSIDERING ANY EDUCATIONAL LEVEL (CHILDREN, PRESCHOOL, PRIMARY, HIGH SCHOOL, TRAINING CYCLES AND HIGHER EDUCATION). ITS OBJECTIVE IS TO INCREASE THE PROMOTION OF TEACHING EXPERIENCES AND COOPERATION FOR THE DISSEMINATION OF EDUCATIONAL PROGRAMS, AS WELL AS THE SUPPORT FOR EXPERIMENTATION AND RESEARCH IN THE FIELD OF THE APPLICATION OF EDUCATIONAL TECHNOLOGIES.
THIS WORK WAS SUPPORTED BY A TEACHING FUND (TO A.S.) OF TECHNICAL UNIVERSITY OF MUNICH (HTTP://WWW.TUM.DE/EN).THE FUNDERS HAD NO ROLE IN STUDY DESIGN, DATA COLLECTION AND ANALYSIS, DECISION TO PUBLISH, OR PREPARATION OF THE MANUSCRIPT.
THE WORK WAS SUPPORTED BY A GRANT FROM THE LEARNING ANALYTICS FELLOWS PROGRAM FROM THE SPONSORING UNIVERSITY.
WE ARE EXTREMELY GRATEFUL FOR THE STRONG SUPPORT AND CONTRIBUTIONS OF THE CSCL COMMUNITY TO THIS PROJECT. THE FOLLOWING INDIVIDUALS ALL GAVE KINDLY AND WILLINGLY OF THEIR TIME AND THINKING (THOUGH WE ALONE TAKE RESPONSIBILITY FOR THE FINAL PRODUCT AND IDEAS ULTIMATELY REPRESENTED HERE): MICHAEL BAKER, MARCELA BORGE, ALLAN COLLINS, ULRIKE CRESS, PIERRE DILLENBOURG, YANNIS DIMITRIADIS, FRANK FISCHER, CINDY HMELO-SILVER, YOTAM HOD, ULRICH HOPPE, SANNA JARVELA, HEISAWN JEONG, YAEL KALI, TIMOTHY KOSCHMANN, STEN LUDVIGSEN, KRISTINE LUND, MIGUEL NUSSBAUM, PETER REIMANN, CAROLYN ROSE, NIKOL RUMMEL, WILLIAM SANDOVAL, JAMES SLOTTA, GERRY STAHL, DANIEL SUTHERS, ANOUSCHKA VAN LEEUWEN, RUPERT WEGERIF, AND JIANWEI ZHANG. IN ADDITION, WE PARTICULARLY WISH TO THANK CAROLYN ROSE AND THE CSCL COMMITTEE WITHIN ISLS FOR THE INITIAL IDEA AND INSTIGATION OF THE WORK, NIKOL RUMMEL FOR THE OPPORTUNITY TO SHARE AND RECEIVE FEEDBACK ON THESE PROVOCATIONS-IN-PROGRESS AT CSCL 2017, AND STEN LUDVIGSEN FOR BEING OPEN TO THIS SOMEWHAT UNCONVENTIONAL FORM OF SCHOLARSHIP AND FACILITATING ITS REVIEW.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY OF TAIWAN UNDER CONTRACT NUMBERS MOST106-2511-S-003-063-MY2 AND MOST108-2511-H-003 -039 -MY2 AND THE "INSTITUTE FOR RESEARCH EXCELLENCE IN LEARNING SCIENCES" OF NATIONAL TAIWAN NORMAL UNIVERSITY (NTNU) FROM THE FEATURED AREAS RESEARCH CENTER PROGRAM WITHIN THE FRAMEWORK OF THE HIGHER EDUCATION SPROUT PROJECT BY THE MINISTRY OF EDUCATION (MOE) IN TAIWAN.
THIS WORK IS SUPPORTED BY THE RESEARCH FUNDS FROM NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 61702207, L1724007, 31600918), CHINA SCHOLARSHIP COUNCIL (GRANT NO. 201706775022), NATIONAL KEY RESEARCH AND DEVELOPMENT PROGRAM OF CHINA (GRANT NO. 2017YFB1401303), PROJECT OF HUMANITIES AND SOCIAL SCIENCES (GRANT NO. 16YJC880052), NATIONAL SOCIAL SCIENCE FUND PROJECT OF CHINA (GRANT NO. 14BGL131) AND BMBF (GERMAN MINISTRY OF EDUCATION AND RESEARCH) PROJECT LISA (GRANT NO. 16SV7535).
THIS RESEARCH IS IN PART SUPPORTED BY AUSTRALIAN OFFICE OF LEARNING AND TEACHING (INNOVATION AND DEVELOPMENT GRANT), CANADA RESEARCH CHAIR PROGRAM OF THE GOVERNMENT OF CANADA, SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (INSIGHT GRANT), AND NATURAL SCIENCES AND ENGINEERING RESEARCH COUNCIL OF CANADA (DISCOVERY GRANT). WE ALSO THANK THOMAS DANG FOR DATA EXTRACTION.
DEPARTAMENT D'UNIVERSITATS, RECERCA I SOCIETAT DE LA INFORMACIO, GRANT/AWARD NUMBER: 2017SGR1619
THE WORK DESCRIBED IN THIS PAPER WAS FULLY SUPPORTED BY THE FUNDING FOR DEMONSTRATION PROJECT ON LARGE DATA PROVIDED BY THE HONG KONG POLYTECHNIC UNIVERSITY (PROJECT ACCOUNT CODE: 1-9A5V).
THIS RESEARCH WAS PARTIALLY SUPPORTED BY 108-2511-H-009-013-MY3 FROM THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN.
THIS PAPER IS A RESEARCH RESULT OF "DEPARTMENT OF SCIENCE AND TECHNOLOGY OF GUANGXI ZHUANG AUTONOMOUS REGION: CONSTRUCTION AND APPLICATION OF INNOVATIVE DESIGN METHOD SYSTEM OF " INTERNET +" EDUCATION SERVICE INDUSTRY" (NO. AB18126068).
THE WORK WAS PARTIALLY FUNDED BY THE RESET PROJECT UNDER GRANT NO. TIN2014-53199-C3-1-R (FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS), THE IRENE PROJECT UNDER GRANT NO. PT-2012-1036-370000 (FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS), AND THE "EMADRID" PROJECT (FUNDED BY THE REGIONAL GOVERNMENT OF MADRID) UNDER GRANT NO. S2013/ICE-2715.
THIS CONTRIBUTION WAS SUPPORTED BY THE EUROPEAN SOCIAL FUND AND THE STATE BUDGET OF THE CZECH REPUBLIC WITHIN THE FRAMEWORK OF THE ESF PROJECT OF THE UNIVERSITY OF WEST BOHEMIA IN PILSEN, PROJECT REGISTRATION NUMBER: CZ.02.2.69 0.0/0.0/16 015/0002287.
THIS WORK WAS SUPPORTED BY THE 4-VA COLLABORATIVE, TECHNOLOGY-ENHANCED LEARNING AND ONLINE STRATEGIES, VIRGINIA TECH.
WE WOULD LIKE TO THANK FAPEAM (FOUNDATION FOR THE STATE OF AMAZONAS RESEARCH), THROUGH EDITAL 009/2017, FOR PARTIALLY FUNDING THIS RESEARCH.
THIS WORK WAS SUPPORTED OF THE WEB SCIENCE INSTITUTE'S PUMP-PRIMING PROJECT "THE MOOC OBSERVATORY DASHBOARD: MANAGEMENT, ANALYSIS AND VISUALISATION OF MOOC DATA" (2015-2016). THE AUTHORS ARE GRATEFUL TO DARRON TANG AND JASMINE CHEN FOR THEIR WORK ON THE LATEST UPDATE OF THIS TOOL.
THIS WORK WAS PARTIALLY FUNDED BY GRANTS PICT-2014-1833, PDTSCIN-CONICET-2015-172.
US DEPARTMENT OF EDUCATION INSTITUTE OF EDUCATION SCIENCES: 'THE ASSESS-AS-YOU-GO WRITING ASSISTANT: A STUDENT WORK ENVIRONMENT THAT BRINGS TOGETHER FORMATIVE AND SUMMATIVE ASSESSMENT' (R305A090394); 'ASSESSING COMPLEX PERFORMANCE: A POSTDOCTORAL TRAINING PROGRAM RESEARCHING STUDENTS' WRITING AND ASSESSMENT IN DIGITAL WORKSPACES' (R305B110008); 'U-LEARN. NET: AN ANYWHERE/ANYTIME FORMATIVE ASSESSMENT AND LEARNING FEEDBACK ENVIRONMENT' (ED-IES-10-C-0018); 'THE LEARNING ELEMENT: A LESSON PLANNING AND CURRICULUM DOCUMENTATION TOOL FOR TEACHERS' (ED-IES-LO-C-0021); AND 'INFOWRITER: A STUDENT FEEDBACK AND FORMATIVE ASSESSMENT ENVIRONMENT FOR WRITING INFORMATION AND EXPLANATORY TEXTS' (ED-IES-13-C-0039). SCHOLAR IS LOCATED AT HTTP://CGSCHOLAR.COM
THIS WORK WAS SUPPORTED IN PART BY THE U.S. NATIONAL SCIENCE FOUNDATION UNDER THE AWARD NO. EEC #1826099. THE CONTENT IS SOLELY THE RESPONSIBILITY OF THE AUTHORS AND DOES NOT NECESSARILY REPRESENT THE OFFICIAL VIEWS OF NSF.
THIS RESEARCH WAS FUNDED BY CONICYT/FONDECYT RESEARCH GRANT 11160211.
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: WE THANK FOR ITS FINANCIAL SUPPORT FROM BEIJING EDUCATION SCIENCE PLAN OFFICE (GRANT NUMBER CHEA2020024).
THE AUTHORS APPRECIATE COVENANT UNIVERSITY FOR FUND SUPPORT FOR THIS WORK AS WELL AS VISUAL PARADIGM INTERNATIONAL FOR THE FREE TRIAL VERSION OF THEIR TOOLS, WHICH WAS USED FOR CREATING ALL UML DIAGRAMS IN THIS PAPER. THE AUTHORS ALSO APPRECIATE ALL STAFF AND STUDENTS WHO PROVIDED USEFUL INFOUNATION DIRECTLY OR INDIRECTLY.
THIS PAPER REFERS TO DATA AND ANALYSIS FROM THE RESEARCH PROJECTS OER62/12EK AND OER09/15 EK, FUNDED BY THE EDUCATION RESEARCH FUNDING PROGRAMME, NATIONAL INSTITUTE OF EDUCATION, NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE. THE FIRST AUTHOR HAS SUBSEQUENTLY MOVED TO ANOTHER INSTITUTION. THE VIEWS EXPRESSED IN THIS PAPER ARE THE AUTHORS' AND DO NOT NECESSARILY REPRESENT THE VIEWS OF NIE.
THIS RESEARCH WAS PARTLY SUPPORTED BY THE ECONOMIC AND SOCIAL RESEARCH COUNCIL, GRANT REFERENCE: ES/L001160/1.
THIS RESEARCH WAS MAINLY SUPPORTED BY SHANGHAI KEY COURSE PROJECT OF CHINA UNDER THE NAME OF INTELLIGENT HARDWARE ESSENTIALS AND WAS PARTLY SUPPORTED BY SHANGHAI NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 18ZR1428000).
THIS RESEARCH WAS FUNDED BY THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 731685 (PROJECT CEITER).
THE AUTHORS WOULD LIKE TO THANK THE MINISTRY OF HIGHER EDUCATION (MOHE) FOR THEIR SUPPORT IN MAKING THIS PROJECT POSSIBLE AND THOSE WHO HELPED IN THIS RESEARCH. THIS RESEARCH WAS SUPPORTED BY MINISTRY OF HIGHER EDUCATION (MOHE) THROUGH FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS/1/2020/SSI0/UTM/02/11).
THIS WORK WAS SUPPORTED BY ENUMA, INC. & 2019 DATA SCIENCE PROMOTION PROJECT AT SEOUL NATIONAL UNIVERSITY.
THIS WORK WAS SUPPORTED BY A GRANT FROM THE NATIONAL SCIENCE FOUNDATION (DUE-1245841, DUE-1726809), AND A SUMMER RESEARCH GRANT FROM UNC CHARLOTTE.
THIS PROJECT IS FUNDED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. IIS-1321045.
ROBERTO MARTINEZ-MALDONADO'S RESEARCH IS PARTLY FUNDED BY JACOBS FOUNDATION.
THE RESEARCH ON WHICH THESE RESULTS ARE BASED HAS RECEIVED FUNDING FROM THE 7TH FRAMEWORK PROGRAMME (FP7/2007-2013) OF THE EUROPEAN COMMUNITY UNDER GRANT AGREEMENT NO 317964 JUXTALEARN.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID S2018/TCS-4307, CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS FSE AND FEDER), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), BY THE EUROPEAN COMMISSION (ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259), BY MIT-LA CAIXA ((MISTI PROGRAM, LCF/PR/MIT19/5184001) AND BY TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES. ALSO THANKS TO JULIO SANTILARIO BERTHILIER AND ANA RUS CANO FOR THEIR CONTRIBUTION TO CONECTADO.
THE AUTHOR RECEIVED SUPPORT FROM THE NATIONAL SCIENCE CENTRE, POLAND; PROJECT 2014/15/N/HS2/03867. THANK YOU TO PRZEMYSLAW KASZUBSKI AND MICHAL REMISZEWSKI FOR ENABLING THE DATA COLLECTION EFFORT.
THIS WORK IS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN UNDER GRANTS MOST-109-2511-H-008007-MY3, MOST-108-2511-H-008-009-MY3, MOST-1102511-H-153-001, AND MINISTRY OF EDUCATION, TAIWAN.
THIS RESEARCH IS SUPPORTED BY THE THREE ORGANIZATIONS: UNIVERSITY OF PHAYAO, RAJAMANGALA UNIVERSITY OF TECHNOLOGY TAWAN-OK, AND RAJABHAT MAHASARAKHAM UNIVERSITY. THE AUTHORS WOULD LIKE TO THANK THE ADVISOR, LECTURERS, STUDENTS, TECHNICIANS, AND ALL RESPONDENTS FOR THEIR ENTIRE SUPPORT.
THE AUTHORS WISH TO THANK UNIVERSITI TEKNOLOGI MALAYSIA (UTM) UNDER RESEARCH UNIVERSITY GRANT VOT-20H04, MALAYSIA RESEARCH UNIVERSITY NETWORK (MRUN) VOT 4L876 AND THE FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS) VOT 5F073 SUPPORTED UNDER MINISTRY OF EDUCATION MALAYSIA FOR THE COMPLETION OF THE RESEARCH. THE WORKS WERE ALSO SUPPORTED BY THE SPEV PROJECT, UNIVERSITY OF HRADEC KRALOVE, FIM, CZECH REPUBLIC (ID: 2102-2020). WE ARE ALSO GRATEFUL FOR THE SUPPORT OF PH.D. STUDENT SEBASTIEN MAMBOU IN CONSULTATIONS REGARDING APPLICATION ASPECTS.
THIS WORK WAS SUPPORTED BY MINISTRY OF EDUCATION OF THE PEOPLE'S REPUBLIC OF CHINA [GRANT NUMBER 17YJC880125].
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE GOOGLE INC. FOR SUPPORTING THIS PROJECT THROUGH THE 'GOOGLE MOOC FOCUSED RESEARCH AWARD SCHEME'.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) OF THE USA UNDER GRANT NUMBERS 1503196 AND 2105695.
TIDE-UPF ACKNOWLEDGES THE SUPPORT BY FEDER, THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY, TIN2017-85179-C3-3-R, PID2020-112584RB-C33, MDM-2015-0502, AND BY ICREA UNDER THE ICREA ACADEMIA PROGRAMME (D. HERNANDEZ-LEO, SERRA HUNTER).
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 15H02931.
WE THANK TANER ENGIN, A TURKISH ERASMUS STUDENT, FOR HIS COLLABORATION IN THE DEVELOPING OF THE PROTOTYPE AND THE SOFTWARE MODULES FOR EXTRACTING DATA FROM SOCIAL NETWORK SERVICES. THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED PARTIAL FUNDING FROM THE EUROPEAN COMMUNITY'S CIP CIP-ICT-PSP-2013-7-621127 - PROGRAMME UNDER GRANT AGREEMENT NO. 21127 AND FROM SPANISH GOVERNMENT UNDER GRANT TIN2017-86520-C3-3-R B).
THIS WORK WAS SUPPORTED IN PART BY THE ANDALUSIAN GOVERNMENT UNDER THE PROGRAM FOR RESEARCH AND INNOVATION IN EDUCATION UNDER GRANT EST2016-056 AND IN PART BY THE SPANISH GOVERNMENT UNDER THE VISAIGLE PROJECT UNDER GRANT TIN2017-85797-R.
THIS WORK WAS SUPPORTED BY JAPAN SOCIETY FOR PROMOTION OF SCIENCE (JSPS), WITH THE BASIC RESEARCH PROGRAM (C) (NO. 15K01094 AND 26240008), GRANT-IN-AID FOR SCIENTIFIC RESEARCH.
HORIZON 2020 FRAMEWORK PROGRAMME, GRANT/AWARD NUMBER: 731685; EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT/AWARD NUMBER: NO. 669074; MARIE CURIE FELLOWSHIP (7TH EUROPEAN COMMUNITY FRAMEWORK PROGRAMME), GRANT/AWARD NUMBER: MIOCTI, FP7-PEOPLE-2012-IEF PROJECT NO. 327384; US NATIONAL INSTITUTE OF HEALTH, GRANT/AWARD NUMBER: U54EB020405
THIS RESEARCH WAS FUNDED BY UNIDAD DE FORTALECIMIENTO INSTITUCIONAL OF THE MINISTERIO DE EDUCACION CHILE. PROJECT INES 2018 UCO1808 LABORATORIO DE INNOVACION EDUCATIVA BASADA EN INVESTIGACION PARA EL FORTALECIMIENTO DE LOS APRENDIZAJES DE CIENCIAS BASICAS EN LA UNIVERSIDAD DE CONCEPCION.
WE THANK MADRID. REGIONAL GOVERNMENT FOR THE SUPPORT OF THE PROJECT E -MADRID-CM (P2018/TCS-4307). E -MADRIDCM PROJECT IS CO -FINANCED BY THE STRUCTURAL FUNDS OF THE EUROPEAN UNION (FSE AND FEDER),
"EMADRID" PROJECT (REGIONAL GOVERNMENT OF MADRID), GRANT/AWARD NUMBER: S2013/ICE2715; "RESET" PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS), GRANT/AWARD NUMBER: RESET TIN2014-53199-C3-1-R; EUROPEAN ERASMUS+ SHEILA, GRANT/AWARD NUMBER: 562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL PROGRAM OF RESEARCH, DEVELOPMENT AND INNOVATION AIMED TO THE SOCIETY CHALLENGES WITH THE REFERENCES BIA2016-77464-C2-1-R & BIA2016-77464-C2-2-R, BOTH OF THE NATIONAL PLAN FOR SCIENTIFIC RESEARCH, DEVELOPMENT AND TECHNOLOGICAL INNOVATION 20132016, GOVERNMENT OF SPAIN, TITLED "GAMIFICACION PARA LA ENSENANZA DEL DISENO URBANO Y LA INTEGRACION EN ELLA DE LA PARTICIPACION CIUDADANA (ARCHGAME4CITY)", & "DISENO GAMIFICADO DE VISUALIZACION 3D CON SISTEMAS DE REALIDAD VIRTUAL PARA EL ESTUDIO DE LA MEJORA DE COMPETENCIAS MOTIVACIONALES, SOCIALES Y ESPACIALES DEL USUARIO (EDUGAME4CITY)" (AEI/FEDER, UE).
OUR THANKS TO THE PENN CENTER FOR LEARNING ANALYTICS FOR FUNDING THIS RESEARCH, AND TO DIDITH RODRIGO AND MIGUEL ANDRES FOR SHARING THIS DATA WITH US.
THIS WORK WAS SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF) GRANT FUNDED BY THE KOREA GOVERNMENT (MSIT) (GRANT NOS. NRF-2016R1A2B1014734 AND NRF-2017R1E1A1A03070560).
THIS RESEARCH WAS SUPPORTED BY CURTIN UNIVERSITY'S UNESCO CHAIR OF DATA SCIENCE IN HIGHER EDUCATION LEARNING AND TEACHING.
THIS STUDY WAS FUNDED BY U.S. NATIONAL SCIENCE FOUNDATION (GRANT NUMBER DRL1523010). ANY OPINIONS, FINDINGS, AND CONCLUSIONS EXPRESSED IN THIS POSTER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF.
THIS RESEARCH WAS SUPPORTED BY THE SINGAPORE MINISTRY OF EDUCATION TERTIARY EDUCATION RESEARCH FUND UNDER THE RESEARCH GRANT REFERENCE NUMBER MOE2016-2-TR44. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR(S) AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE SINGAPORE MINISTRY OF EDUCATION. THIS RESEARCH IS SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION, PRIME MINISTER'S OFFICE, SINGAPORE UNDER ITS INTERNATIONAL RESEARCH CENTRES IN SINGAPORE FUNDING INITIATIVE.
THIS WORK WAS SUPPORTED BY JUNIOR RESEARCH PROJECT NO. GJ18-04150Y AND STUDENT RESEARCH GRANT NO. SGS19/209/OHK3/3T/37.
THIS WORK WAS FUNDED IN PART BY THE EUROPEAN ERASMUS + PROGRAM (562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD AND 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA, THE UNIVERSITY OF EDINBURGH, MONASH UNIVERSITY, NATIONAL SCIENCE FOUNDATION (DRL-0918409, DRL-0946372, DRL-1247262, DRL-1418288, DUE-0919347, DUE-1225885, EEC-1232656, EEC-1340402, REC-0347000), THE MACARTHUR FOUNDATION, THE SPENCER FOUNDATION, THE WISCONSIN ALUMNI RESEARCH FOUNDATION, THE OFFICE OF THE VICE CHANCELLOR FOR RESEARCH AND GRADUATE EDUCATION AT THE UNIVERSITY OF WISCONSIN-MADISON. THE OPINIONS, FINDINGS, AND CONCLUSIONS DO NOT REFLECT THE VIEWS OF THE FUNDING AGENCIES, COOPERATING INSTITUTIONS, OR OTHER INDIVIDUALS.
ACADEMY OF FINLAND, GRANT/AWARD NUMBER: 275440
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) OF THE UNITED STATES UNDER GRANT NUMBERS 1512868, 1348530 AND 1503196. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER, HOWEVER, ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF. THE AUTHORS ARE INDEBTED TO JOYCE MASSICOTTE, ELENA SEREIVIENE, JIE CHAO, XUDONG HUANG, AND COREY SCHIMPF FOR ASSISTANCE AND SUGGESTIONS.
THIS STUDY IS SUPPORTED IN PART BY THE MINISTRY OF SCIENCE AND TECHNOLOGY OF THE REPUBLIC OF CHINA [CONTRACT NUMBERS MOST 103-2511-S-031-001-MY2, AND MOST 104-2511-S-031-003-MY4].
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) OF THE UNITED STATES UNDER GRANT NUMBERS 1512868, 1348530 AND 1503196. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER, HOWEVER, ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF. THE AUTHORS ARE INDEBTED TO JOYCE MASSICOTTE, ELENA SEREIVIENE, JIE CHAO, XUDONG HUANG, AND COREY SCHIMPF FOR ASSISTANCE AND SUGGESTIONS.
THE RESEARCH FOR THIS PAPER WAS FINANCIALLY SUPPORTED BY GRANT INNOVATIVE METHODS IN PROGRAMMING EDUCATION IN THE UNIVERSITY EDUCATION OF TEACHERS AND IT PROFESSIONALS.
THIS RESEARCH IS SUPPORTED BY JSPS KAKENHI GRANTS NOS. JP19H01716 AND JP18K18657.
THIS WORK IS A RESULT OF THE SISNG (STUDY INFORMATION SYSTEMS OF THE NEXT GENERATION) PROJECT FRAMEWORK, PARTIALLY FINANCED BY THE FACULTY OF COMPUTER SCIENCE AND ENGINEERING. THE SOURCE CODE AND ARTIFACTS ARE MADE PUBLICLY AVAILABLE AT THE PROJECT WEBSITE[5].
THIS WORK HAS BEEN SUPPORTED FROM NATIONAL DIGITAL LIBRARY PROJECT UNDER NMEICT SCHEME OF MHRD, GOVERNMENT OF INDIA.
THIS WORK HAS BEEN SUPPORTED BY THE CROATIAN SCIENCE FOUNDATION UNDER THE PROJECT IP-2014-09-7854.
THIS STUDY IS SUPPORTED IN PART BY THE MINISTRY OF SCIENCE AND TECHNOLOGY OF THE REPUBLIC OF CHINA UNDER CONTRACT NUMBERS MOST 106-2511-S-011-005-MY3 AND MOST 106-2511-S-152-012-MY3.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY A RESEARCH PROJECT FUNDED BY THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA. FUND NO. 410-2009-2481
THIS RESEARCH STUDY WAS PARTIALLY FINANCED BY THE MINISTRY OF EDUCATION, CULTURE AND SPORT OF SPAIN THROUGH ITS FPU PROGRAMME (GRANT FPU12/04310), BY THE REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), BY THE COMPLUTENSE UNIVERSITY OF MADRID (GR3/14-921340), BY THE MINISTRY OF EDUCATION (TIN2013-46149-C2-1-R), BY THE RIURE NETWORK (CYTED 513RT0471) AND BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676).
THIS STUDY IS SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY OF THE REPUBLIC OF CHINA UNDER CONTRACT NUMBER: MOST 105-2511-S-259-004-MY3.
THE AUTHORS WOULD LIKE TO THANK MS. EMILY LEUNG FOR GIVING PEDAGOGICAL ADVICE DURING THE MANUSCRIPT DEVELOPMENT. THIS WORK IS SUPPORTED IN PART BY THE UNIVERSITY OF HONG KONG TEACHING DEVELOPMENT GRANTS AWARD (PROJECT NO. 16/602).
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER 15H02931. ALSO, I WOULD LIKE TO THANKS TO BRAWIJAYA UNIVERSITY FOR SUPPORTING MY STUDY IN JAPAN.
THIS PROJECT WAS SUPPORTED IN PART BY THE NATIONAL RESEARCH INITIATIVE COMPETITIVE GRANTS CAP PROJECT 2011-68002-30029 FROM THE USDA NATIONAL INSTITUTE OF FOOD AND AGRICULTURE, ADMINISTERED BY THE UNIVERSITY OF CALIFORNIA-DAVIS AND BY CENUSA BIOENERGY, AGRICULTURE AND FOOD RESEARCH INSTITUTE COMPETITIVE GRANT NO. 2011-68005-30411 FROM THE USDA NATIONAL INSTITUTE OF FOOD AND AGRICULTURE.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER CYBERLEARNING GRANT IIS-1124535, THE AIR FORCE OFFICE OF SCIENTIFIC RESEARCH UNDER GRANT FA9550-09-1-0432, AND THE GOOGLE FACULTY RESEARCH AWARD PROGRAM.
THIS RESEARCH WORK WAS FINANCIALLY SUPPORTED BY THE FUNDAMENTAL RESEARCH GRANT SCHEME, FRGS/1/2015/SS06/MMU/02/1.
OPEN ACCESS FUNDING PROVIDED BY UNIVERSITY OF BERGEN.
WE APPRECIATE THE AID OF RELATE MEMBER YOAV BERGNER AND RELATE VISITORS STEFAN DROESCHLER, GERD KORTEMEYER, STUART RAEBURN AND SARA JULIN. WE ACKNOWLEDGE SARAH LANCASTER FOR HER WORK IN EDITING AND PROOFREADING. RELATE IS GRATEFUL FOR SUPPORT FROM A NATIONAL SCIENCE FOUNDATION GRANT (DUE-1044294), A GOOGLE SCHOLAR GRANT AND MIT.
THIS WORK WAS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN [GRANT NUMBERS MOST-104-2511-S-008-006-MY2, MOST-105-2511-S-008-003-MY3, MOST-105-2622-S-008 -002-CC2, MOST-106-2511-S-008 -004 -MY3].
FULBRIGHT EGYPTIAN SCHOLAR PROGRAM
THIS STUDY WAS FUNDED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY OF TAIWAN. THE PROJECTS ID WERE MOST-109-2511-H-007-010, MOST 109-2511-H-019-004-MY2, MOST 109-2511-H-019-001, AND MOST-108-2221-E007-062-MY3. IT WAS ALSO FUNDED BY NATIONAL TSING HUA UNIVERSITY, TAIWAN.
THIS WORK WAS SUPPORTED IN PART BY THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY, JAPAN AND BY JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE UNDER GRANT-IN-AID FOR SCIENTIFIC RESEARCH (B) (NO. 25282051).
THIS WORK WAS SUPPORTED IN PART BY THE SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES THROUGH THE PROJECTECLIPSE-UA UNDER GRANT RTI2018-094283-B-C32.
THANKS TO KIM DAVENPORT AND JP SLAVINSKY FOR PROVIDING THE OPENSTAX TUTOR (OST) DATA AND ANDREW WATERS AND RYAN NING FOR HELPFUL DISCUSSIONS. THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER CYBERLEARNING GRANT IIS-1124535, THE AIR FORCE OFFICE OF SCIENTIFIC RESEARCH UNDER GRANT FA9550-09-1-0432, AND THE GOOGLE FACULTY RESEARCH AWARD PROGRAM. VISIT THE WEBSITE WWW.SPARFA.COM, WHERE YOU CAN LEARN MORE ABOUT THE SPARFA PROJECT AND PURCHASE T-SHIRTS AND OTHER MERCHANDISE.
THIS RESEARCH IS PERFORMED IN THE FRAME OF COLLABORATION OF THE UNIVERSITY OF PATRAS WITH ONLINE PLATFORM MATHESIS.CUP.GR. SUPPLY OF MOOCS DATA, BY MATHESIS IS GRATEFULLY ACKNOWLEDGED. DOCTORAL SCHOLARSHIP "STRENGTHENING HUMAN RESOURCES RESEARCH POTENTIAL VIA DOCTORATE RESEARCH 2ND CYCLE" (MIS -5000432), IMPLEMENTED BY THE STATE SCHOLARSHIPS FOUNDATION (IKY) IS ALSO GRATEFULLY ACKNOWLEDGED. THIS RESEARCH HAS ALSO BEEN PARTIALLY FUNDED BY THE SPANISH STATE RESEARCH AGENCY (AEI) UNDER PROJECT GRANTS TIN2014-53199-C3-2-R AND TIN2017-85179-C3-2-R, THE REGIONAL GOVERNMENT OF CASTILLA Y LEON GRANT VA082U16, THE EC GRANT 588438-EPP-1-2017-1-EL-EPPKA2-KA
THIS RESEARCH WAS FUNDED BY CONSEJERIADE EDUCACIONDE LA JUNTADE CASTILLA Y LEON (SPAIN), GRANT NUMBER BU032G19.
THIS IS A RESULT OF THE SISNG PROJECT FRAMEWORK, PARTIALLY FINANCED BY THE FACULTY OF COMPUTER SCIENCE AND ENGINEERING. THE SOURCE CODES AND DEMONSTRATIONS ARE AVAILABLE ON THE PROJECT WEBSITE[2].
RESEARCH SUPPORTED BY THE SPANISH MINISTERIO DE CIENCIA E INNOVACION UNDER GRANT METHODOLOGIES, ARCHITECTURES AND STANDARDS FOR ADAPTIVE AND ACCESSIBLE E-LEARNING (ADAPT2LEARN) (TIN2010-21735-C02-01), THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) AND THE GALICIAN REGIONAL GOVERNMENT UNDER PROJECTS CN2012/260 AND GRC2013-006 CONSOLIDATION OF RESEARCH UNITS: ATLANTTIC.
THE DEVELOPMENT OF THE WIRELESS GRID INNOVATION TESTBED (WIGIT) IS PRIMARILY FUNDED BY THE SUPPORT OF THE NATIONAL SCIENCE FOUNDATION (NSF) PARTNERSHIP FOR INNOVATION (PFI) PROGRAM GRANTS NSF #0227879 (2002-2006) AND CONTINUED UNDER NSF # 0917973 (2009-2011). THE VIEWS EXPRESSED ARE THOSE OF THE AUTHOR.
WORK PARTIALLY FUNDED BY THE LEARN3 PROJECT ("PLAN NACIONAL DE I+D+I" TIN2008-05163/TSI), TELMA PROJECT ("PLAN AVANZA", TSI-020110-2009-85), AND THE "EMADRID: INVESTIGACION Y DESARROLLO DE TECNOLOGIAS PARA EL E-LEARNING EN LA COMUNIDAD DE MADRID" PROJECT (S2009/TIC-1650).
THE ADAPT CENTRE FOR DIGITAL CONTENT TECHNOLOGY IS FUNDED UNDER THE SFI RESEARCH CENTRES PROGRAMME (GRANT 13/RC/2106) AND IS CO-FUNDED UNDER THE EUROPEAN REGIONAL DEVELOPMENT FUND.
THIS WORK INVOLVED HUMAN SUBJECTS OR ANIMALS IN ITS RESEARCH. APPROVAL OF ALL ETHICAL AND EXPERIMENTAL PROCEDURES AND PROTOCOLS WAS GRANTED BY THE RESEARCH ETHICS EXAMINATION BOARDS, THE UNIVERSITY OF AIZU, JAPAN.
THIS WORK WAS DEVELOPED BASED ON RESEARCH FINANCED BY THE MINISTRY OF HEALTH; THANKS FOR THE SUPPORT PROVIDED.
THE AUTHORS ARE GRATEFUL TO THE DEAN'S OFFICE AT THE NUS FACULTY OF SCIENCE, AND THE DEPARTMENT OF CHEMISTRY FOR FUNDING THE PROJECT AND FOR THEIR LEADERSHIP TOWARDS TECHNOLOGY-ENABLED BLENDED LEARNING EXPERIENCE (TEBLE). THE PARTICIPATION OF THE CM2191 STUDENTS IN THIS RESEARCH PROJECT WERE GREATLY APPRECIATED. THE FIRST AUTHOR, RACHEL, IS THANKFUL TO FUNG FUN MAN, THE SUPERVISOR FOR THIS PROJECT, FOR HIS GUIDANCE, TEACHING AND ENCOURAGEMENT THROUGHOUT THIS RESEARCH PROJECT. RACHEL WOULD ALSO LIKE TO EXTEND HER APPRECIATION TO HER CO-AUTHOR, ALINA ANG SIHUI FOR HER HELP AND INPUTS FOR THIS BOOK CHAPTER WRITE-UP. ALINA IS ALSO THANKFUL TO FUN MAN FOR HIS GUIDANCE AND FEEDBACK THROUGHOUT THE COURSE OF THIS PROJECT. THE CORRESPONDING AUTHOR WOULD LIKE TO REGISTER HIS GRATITUDE TO CHNG HUANG HOON, GOH SAY SONG AND ROBERT K. KAMEI FOR THEIR UNWAVERING SUPPORT AND ENCOURAGEMENT.
THIS WORK RECEIVED FUNDING FROM THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20), AND THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT NO. 751550.
THIS RESEARCH WOULD NOT HAVE BEEN POSSIBLE WITHOUT THE SUPPORT OF CSU ONLINE RESEARCH & ANALYTICS, CSU'S VP FOR IT PATRICK BURNS, GWEN GORZELSKY, DIRECTOR OF THE INSTITUTE FOR LEARNING AND TEACHING, FOR WORK ON THE APLU GRANT, AND MHE VP OF RESEARCH & JACQUELINE FEILD, NICHOLAS LEWKOW, SEAN BURNS, AND KAREN GEBHARDT
THIS WORK WAS SUPPORTED BY A GRANT OF THE ROMANIAN NATIONAL AUTHORITY FOR SCIENTIFIC RESEARCH AND INNOVATION, CNCS - UEFISCDI, PROJECT NUMBER PN-II-RU-TE-2014-4-2604.
THIS RESEARCH WAS FUNDED BY NSF IIS GRANT 1447489.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION, UNDER GRANT IIS-1522990.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBERS JP25350308 AND JP16K00499.
THANKS TO THE BILL AND MELINDA GATES FOUNDATION, THE UNIVERSITY OF PENNSYLVANIA, THE UNIVERSITY OF EDINBURGH, AND THE UNIVERSITY OF TEXAS AT ARLINGTON, FOR THEIR SUPPORT FOR THIS RESEARCH.
WE ARE GRATEFUL TO COMMONAPP FOR PROVIDING US WITH THE DATASET, WHICH MADE THIS WORK POSSIBLE. WE ALSO THANK PARKER GOYER FOR HER ASSISTANCE IN CODING THE NSC DATA AND TO TAMMER IBRAHIM FOR HIS HELP WITH THE COMPUTATIONAL INFRASTRUCTURE. THIS RESEARCH WAS SUPPORTED BY THE WALTON FAMILY FOUNDATION, THE MINDSET SCHOLARS NETWORK, THE BILL & MELINDA GATES FOUNDATION, THE JOYCE FOUNDATION, THE OVERDECK FAMILY FOUNDATION, AND THE RAIKES FOUNDATION. ANY OPINIONS, FINDINGS AND CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE FUNDING AGENCIES.
THIS RESEARCH WAS SUPPORTED IN PART BY THE INSTITUTE OF EDUCATION SCIENCES (R305A120707) AND THE OFFICE OF NAVAL RESEARCH (ONR N000141712300). ANY OPINIONS, CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REPRESENT VIEWS OF EITHER IES OR ONR. WE ALSO THANK CECILE PERRET, ROD ROSCOE AND JIANMIN DAI FOR THEIR HELP WITH THE DATA COLLECTION AND DEVELOPING THE IDEAS FOUND IN THIS PAPER.
THIS WORK WAS SUPPORTED BY NSF AWARD #1530726, AND BY IES GRANT R305B150008 TO CMU. OPINIONS DO NOT REPRESENT THE VIEWS OF NSF, IES OR THE U.S. ED. SPECIAL THANKS TO JONATHAN SEWALL, OCTAV POPESCU, PETER SCHALDENBRAND, ZAC YU, MARY BETH KERY, JODI FORLIZZI, LU CHEN, AND ALL PARTICIPATING STUDENTS AND TEACHERS.
THIS RESEARCH WAS SUPPORTED IN PART BY THE INSTITUTE OF EDUCATION SCIENCES (R305A130124) AND THE OFFICE OF NAVAL RESEARCH (ONR N000141712300). ANY OPINIONS, CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REPRESENT VIEWS OF EITHER IES OR ONR.
THIS WORK WAS SUPPORTED BY AN IGNITE CHALLENGE MIDDLE AND HIGH SCHOOL MATH AWARD TO CARNEGIE LEARNING FROM THE NEWSCHOOLS VENTURE FUND. CARNEGIE LEARNING ALSO THANKS MIAMI-DADE COUNTY PUBLIC SCHOOLS AND ILIA MOLINA FOR PROVIDING SUBSTANTIAL AMOUNTS OF DATA OVER THE PAST 3+ YEARS.
"ICT-FLAG" ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS, AND GAMIFICATION, GRANT NUMBER: TIN2013-45303-P
THIS RESEARCH IS FUNDED BY IRISH RESEARCH COUNCIL UNDER THE PROJECT NUMBER GOIPG/2017/141 AND FROM THE ADAPT CENTRE FOR DIGITAL CONTENT TECHNOLOGY, FUNDED UNDER THE SFI RESEARCH CENTRES PROGRAMME (GRANT 13/RC/2106_P2) , CO-FUNDED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND. FOR THE PURPOSE OF OPEN ACCESS, THE AUTHOR HAS APPLIED A CC BY PUBLIC COPYRIGHT LICENCE TO ANY AUTHOR ACCEPTED MANUSCRIPT VERSION ARISING FROM THIS SUBMISSION. THE AUTHORS ALSO ACKNOWLEDGE THE SUPPORT OF DR. STEPHEN BLOTT, SCHOOL OF COMPUTING, DUBLIN CITY UNIVERSITY, ON DATA COLLECTION AND USING THE EINSTEIN LEARNING SYSTEM.
OPEN ACCESS FUNDING PROVIDED BY EPFL LAUSANNE. THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO 765955. FURTHERMORE, THIS PROJECT IS SUPPORTED BY HE SWISS NATIONAL SCIENCE FOUNDATION THROUGH THE NATIONAL CENTRE OF COMPETENCE IN RESEARCH ROBOTICS.
THE WORK IS PREPARED WITH THE SUPPORT OF THE RUSSIAN FOUNDATION FOR BASIC RESEARCH GRANT N 17-03-00293-OGN.
THIS STUDY WAS SUPPORTED BY JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE (JSPS) [GRANT NUMBER JP19H01716], AND JST AIP [GRANT NUMBER JPMJCR19U1].
THIS WORK WAS SUPPORTED BY PAUL IVANIER CENTER FOR PRODUCTION MANAGEMENT.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304.
THIS RESEARCH WAS SUPPORTED BY THE CHUNGNAM NATIONAL UNIVERSITY HOSPITAL RESEARCH FUND, 2018-2019. THIS RESEARCH WAS ALSO SUPPORTED BY NATIONAL INSTITUTE FOR MATHEMATICAL SCIENCES (NIMS) GRANT FUNDED BY THE KOREA GOVERNMENT, 2020 (NO. NIMS-B20900000). CHUNGNAM NATIONAL UNIVERSITY HOSPITAL RESEARCH FUND SUPPORT THE DESIGN OF THE STUDY. NIMS-B20900000 WAS MAINLY USED FOR ANALYSIS OF MACHINE LEARNING.
THIS PAPER IS THE RESULT OF THE PROJECT ONR-N62909-19-1-2008 SUPPORTED BY THE OFFICE OF NAVAL RESEARCH, THE UNITED STATES: AGGREGATING COMPUTATIONAL ALGORITHMS AND HUMAN DECISIONMAKING PREFERENCES IN MULTIAGENT SETTINGS.
THIS RESEARCH WAS FUNDED BY THE DEANSHIP OF SCIENTIFIC RESEARCH-NAJRAN UNIVERSITY, GRANT NUMBER NU/-/SERC/10/652 AND THE APC WAS FUNDED BY THE DEANSHIP OF SCIENTIFIC RESEARCH-NAJRAN UNIVERSITY.
THIS WORK IS SUPPORTED BY THE SPANISH INNOVATION PROJECT FUNDED BY THE UCAM UNDER GRANT PID-05/19. AUTHORS WOULD LIKE TO THANK THE ONLINE VICE-RECTORATE OF THIS UNIVERSITY FOR THEIR PARTICIPATION IN THIS PAPER.
THE RESEARCH IS PARTIALLY SUPPORTED BY THE NPD-PLOVDIV UNIVERSITY UNDER GRANT NO. FP19-FESS-014 "CONTEMPORARY TOOLS AND APPROACHES FOR ECONOMIC AND BUSINESS ANALYSIS" AND EUROPEAN REGIONAL DEVELOPMENT FUND UNDER GRANT BG05M2OP001-1.002-0002-C02 "DIGITALIZATION OF ECONOMY IN BIG DATA ENVIRONMENT".
THIS STUDY WAS FUNDED BY NSF (DRL-1118664) AND THE SCRATCH FOUNDATION.
THIS STUDY HAS BEEN CARRIED OUT IN THE FRAMEWORK OF THE ENGAGE PROJECT, WHICH HAS BEEN FUNDED BY THE EUROPEAN COMMISSION (SEVENTH FRAMEWORK PROGRAMME) UNDER GRANT AGREEMENT NUMBER 612269.
THIS STUDY IS SUPPORTED BY SHANDONG EDUCATION SCIENCE PLAN (GRANT NO. 2020ZD030) AND NATIONAL OFFICE FOR PHILOSOPHY AND SOCIAL SCIENCES (GRANT NO. BEA190107).
THIS WORK HAS BEEN DEVELOPED IN THE VISAIGLE PROJECT, FUNDED BY THE SPANISH NATIONAL RESEARCH AGENCY (AEI) WITH ERDF FUNDS UNDER GRANT REF. TIN2017-85797-R.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE PLENTAS PROJECT, "PROYECTOS I+D+I 2019", PID2019-111430RB-I00 AND BY UNIVERSIDAD INTERNACIONAL DE LA RIOJA (UNIR, HTTP://WWW.UNIR.NET) THROUGH THE IBM-UNIR CHAIR ON DATA SCIENCE IN EDUCATION.
THE RESEARCH WAS SUPPORTED IN PART BY THE NATIONAL SCIENCE FOUNDATION OF CHINA UNDER GRANT NO. 61867006, THE DOCTORAL SCIENTIFIC RESEARCH FOUNDATION OF XINJIANG UNIVERSITY UNDER GRANT NO. BS150263, THE RESEARCH AND PRACTICE PROJECT OF MINISTRY OF EDUCATION OF CHINA, THE FOURTH 21ST CENTURY EDUCATION REFORM PROJECT OF HIGHER EDUCATION OF XINJIANG UNIVERSITY UNDER GRANT NO. XJU2015JGY47, AND THE HIGHER EDUCATION INNOVATION PROJECT OF XINJIANG UYGUR AUTONOMOUS REGION UNDER GRANT NO. XJEDU2017T002. THE AUTHORS WOULD LIKE TO THANK THE ANONYMOUS REVIEWERS FOR THEIR CONSTRUCTIVE COMMENTS THAT HELPED TO IMPROVE THE QUALITY OF THIS PAPER.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE CONSEJERIA DE ECONOMIA, INNOVATION Y CIENCIA OF THE JUNTA DE ANDALUCIA THROUGH THE RESEARCH PROJECTS DEDALO (P09-TIC-5105) AND TIADA (P07-TIC-03243).
THIS STUDY WAS FUNDED BY NATIONAL AGENCY FOR RESEARCH AND DEVELOPMENT (ANID)SCHOLARSHIP PROGRAM/DOCTORADO NACIONAL 2015-21150985, AND SUPPORTED BY NATIONAL AGENCY FOR RESEARCH AND DEVELOPMENT (ANID)/FONDECYT-CHILE REGULAR PROJECT-1200206.
FAN OUYANG ACKNOWLEDGES THE FINANCIAL SUPPORT FROM THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61907038), CHINA ZHEJIANG PROVINCE EDUCATIONAL REFORMATION RESEARCH PROJECT IN HIGHER EDUCATION (JG20190048), AND THE FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES, CHINA (2020QNA241).
WE THANK TANER ENGIN FOR HIS COLLABORATION IN THE DEVELOPMENT OF THE SOFTWARE MODULES USED TO EXTRACT DATA FROM SOCIAL NETWORK SERVICES. THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN COMMUNITY'S CIP: CIP-ICT-PSP-2013-7-621127 PROGRAMME UNDER GRANT AGREEMENT NO. 21127 AND FROM THE SPANISH GOVERNMENT UNDER GRANT TIN2014-56158-C4-2-P (M2C2).
THIS WORK HAS BEEN PARTLY SUPPORTED BY CROATIAN SCIENCE FOUNDATION UNDER THE PROJECT HIGHERDECISION IP-2014-09-7854.
THE FOLLOWING SPONSORS HAVE PARTIALLY SUPPORTED THIS WORK: THE SPANISH MINISTRY OF SCIENCE AND INNOVATION (GRANT NO. TIN2010-21735-C02-02); THE EUROPEAN COMMISSION LLP (PROJECTS "SEGAN NETWORK OF EXCELLENCE IN SERIOUS GAMES" - 519332-LLP-1-2011-1-PT-KA3-KA3NW AND "CHERMUG" -519023-LLP-1-2011-1-UK-KA3-KA3MP) AND THE 7TH FP (PROJECT "GALA -NETWORK OF EXCELLENCE IN SERIOUS GAMES" - FP7-ICT-2009-5-258169); AND THE REGIONAL GOVERNMENT OF MADRID (EMADRID NETWORK - S2009/TIC-1650).
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: CHINESE NATIONAL FUND FOR THE HUMANITIES AND SOCIAL SCIENCES (CHINESE ACADEMIC TRANSLATION) (17WSS005); MOOCS OF BEIJING LANGUAGE AND CULTURE UNIVERSITY (IMPORTANT) "AN INTRODUCTION TO LINGUISTICS" IN 2019 (MOOC201902); AN ONLINE AND OFFLINE HYBRID COURSE "INTRODUCTION TO LINGUISTICS" OF BEIJING LANGUAGE AND CULTURE UNIVERSITY IN 2020; THE RESEARCH AND REFORM OF THE "UNDERGRADUATE TEACHING REFORM AND INNOVATION PROJECT" OF BEIJING HIGHER EDUCATION IN 2020 -INNOVATIVE "MULTILINGUAL +" EXCELLENT TALENT TRAINING SYSTEM.
THIS WORK WAS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN: [GRANT NUMBER 108-2511-H-003 -056 -MY3]; MINISTRY OF SCIENCE AND TECHNOLOGY IN THE REPUBLIC OF CHINA UNDER CONTRACT NUMBERS MOST [GRANT NUMBER 1072511-H-003-031].
WE THANK EMADRID PROJECT 2013-ICE-2715 AND COMUNIDAD DE MADRID FOR THE SUPPORT IN THIS DEVELOPMENT, AS LONG AS EU ERASMUS+ AND UNED MOBILITY PROGRAM.
THIS WORK FORMS PART OF THE PROJECT ENTITLED "A LONGITUDINAL MODEL IMPACT ASSESSMENT OF VARIABLES INVOLVED IN SELECTING STUDIES AND UNIVERSITY. ACADEMIC ACHIEVEMENT IN HIGH SCHOOL AND UNIVERSITY ENTRANCE EXAM, AS PREDICTORS OF INITIAL PERFORMANCE AT UNIVERSITY", FINANCED BY THE ICE AT THE UNIVERSITY OF BARCELONA IN THE REDICE 2012, WITH CODE NUMBER 1641-01. THE TRANSLATION OF THIS PAPER WAS FUNDED BY THE UNIVERSITAT POLITECNICA DE VALENCIA, SPAIN
THIS WORK IS PART OF THE INNOVATION AND IMPROVEMENT OF THE QUALITY TEACHING PROJECT (PIMCD2018-20) OF THE UNIVERSIDAD COMPLUTENSE DE MADRID. WE ARE VERY GRATEFUL FOR THE SUPPORT OF THE VICE-CHANCELLOR OF TECHNOLOGIES, THE OFFICE OF THE VIRTUAL CAMPUS AND THE COLLABORATION OF OUR STUDENTS.
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS WORK WAS SUPPORTED BY THE RESEARCH FUNDS FROM THE CHINA MOBILE RESEARCH FOUNDATION OF THE MINISTRY OF EDUCATION (GRAND NO. MCM20160401) THE RESEARCH FUNDS FROM NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 61702207, L1724007).
THIS RESEARCH IS SUPPORTED BY THE THREE ORGANIZATIONS: UNIVERSITY OF PHAYAO, RAJABHAT MAHASARAKHAM UNIVERSITY, AND MAHASARAKHAM UNIVERSITY. THE AUTHORS WOULD LIKE TO THANK THE ADVISOR, LECTURERS, STUDENTS, TECHNICIANS, AND ALL RESPONDENTS FOR THEIR ENTIRE SUPPORT.
THIS WORK IS SUPPORTED BY THE NSF UNDER GRANT NO.: 1339344.
THIS RESEARCH WAS PARTIALLY FUNDED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY UNDER CONTRACT NUMBERS 104-2511-S-008-014-MY3 AND 106-2811-H-008-003.
THIS WORK WAS SUPPORTED BY THE JSPS KAKENHI GRANT, NUMBERS JP15K02709 AND JP15K01012. WE WOULD ALSO LIKE TO THANK THE MEMBERS OF BOTH MITSUISHI LAB AND AOKI LAB AT TOHOKU UNIVERSITY FOR THEIR INSIGHT AND INPUT INTO THE TOPIC SINCE THE BEGINNING.
THIS PROJECT IS ENDORSED BY THE GUANGDONG ACADEMY OF EDUCATION AND FUNDED BY THE BNU - HKBU UNITED INTERNATIONAL COLLEGE RESEARCH GRANT NO. R201528. THE PRINCIPLE INVESTIGATOR OF THIS PROJECT IS PROF. LILIAN L. P. VRIJMOED NEE KWAN.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: DANIEL HALLIDAY'S WORK ON THIS PAPER WAS SUPPORTED BY A GRANT FROM THE CENTER FOR ETHICS AND EDUCATION, AS PART OF THEIR PROGRAMME SUPPORTING PHILOSOPHY AS IT RELATES TO EDUCATIONAL POLICY AND PRACTICE. HE GRATEFULLY ACKNOWLEDGES THE CENTER'S SUPPORT.
THIS RESEARCH WAS SUPPORTED IN PART BY NSF GRANT 1633130. JOSH BEEMER WAS SUPPORTED BY AN NSF S-STEM FELLOWSHIP AND AS A GRADUATE RESEARCH ASSISTANT IN THE SDSU OFFICE OF ANALYTICS STUDIES AND INSTITUTIONAL RESEARCH AND OFFICE OF INSTRUCTIONAL TECHNOLOGY SERVICES.
THIS WORK HAS BEEN PARTIALLY FUNDED BY REGIONAL GOVERNMENT OF MADRID (EMADRID P2018/TCS4307), BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), BY THE EUROPEAN COMMISSION (ERASMUS+ IMPRESS 2017-1-NL01-KA203-035259) AND BY THE TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES.
THIS WORK IS FUNDED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) AND THE GALICIAN REGIONAL GOVERNMENT UNDER THE AGREEMENT OF FUNDING THE ATLANTIC RESEARCH CENTER FOR INFORMATION AND COMMUNICATION TECHNOLOGIES (ATLANTTIC); THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER THE NATIONAL SCIENCE PROGRAM (TEC2014-54335-C4-3-R, TEC2017-84197-C4-2-R) AND THE EUROINKANET (551985-EM-1-2014-1-UK-ERA MUNDUS-EMA21). THE AUTHORS ALSO THANK TO THE E-LEARNING SERVICE OF THE UNIVERSITY OF VIGO FOR THE SUPPORT.
THIS RESEARCH IS SUPPORTED BY TWO UNIVERSITIES. IT CONSISTS OF THE UNIVERSITY OF PHAYAO, AND RAJABHAT MAHA SARAKHAM UNIVERSITY. THE AUTHORS WOULD LIKE TO THANK THE ADVISOR, LECTURERS, STUDENTS, TECHNICIANS, AND ALL RESPONDENTS FOR THEIR ENTIRE SUPPORT.
THIS RESEARCH WAS FUNDED BY THE UNIVERSITY OF PHAYAO. PROJECT NUMBER: FF64UOE004. IN ADDITION, THIS RESEARCH IS SUPPORTED BY TWO UNIVERSITIES: RAJABHAT MAHASARAKHAM UNIVERSITY, AND UNIVERSITY OF PHAYAO. THE AUTHORS WOULD LIKE TO THANK THE ADVISOR, LECTURERS, STUDENTS, TECHNICIANS, AND ALL RESPONDENTS FOR THEIR ENTIRE
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCES FOUNDATION, AWARD #DRL - 1418378, COLLABORATIVE RESEARCH: MODELING SOCIAL INTERACTION AND PERFORMANCE IN STEM LEARNING.
THE ASSOCIATE EDITOR COORDINATING THE REVIEW OF THIS MANUSCRIPT AND APPROVING IT FOR PUBLICATION WAS PROF. TSUNG-HUI CHANG. THIS WORK WAS IN PART SUPPORTED BY THE ARMY RESEARCH OFFICE UNDER MURI GRANTS W911NF-11-1-0036 AND W911NF-14-1-0190.
THE AUTHORS WOULD LIKE TO THANK THE BMBF FOR THEIR KIND SUPPORT WITHIN THE PROJECT "PERSONALISIERTE KOMPETENZENTWICKLUNG DURCH SKALIERBARE MENTORINGPROZESSE" (TECH4COMP) UNDER THE PROJECT ID 16DHB2110.
PART OF THIS RESEARCH WORK WAS ALSO SUPPORTED BY THE GRANT-IN-AID FOR SCIENTIFIC RESEARCH NO.16H03078 AND NO. 17K12947 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS RESEARCH IS SUPPORTED BY THE PROJECT, "LEXUE 100, SMART EDUCATION", OF BEIJING LEXUE 100 ONLINE EDUCATION CO., LTD. THE AUTHORS THANK ALSO ALL THE TEACHERS AND STUDENTS WHO HAVE PARTICIPATED IN THE PROJECT.
THIS RESEARCH WAS SUPPORTED BY INCAA DESIGNS, DATA61/CSIRO AND UNSW. THE FIRST AUTHOR WAS SUPPORTED BY THE EMINENT VISITING SCHOLARS PROGRAM IN THE FACULTY OF ENGINEERING AT THE UNIVERSITY OF NEW SOUTH WALES IN SYDNEY, AUSTRALIA. THE SECOND AUTHOR WAS SUPPORTED BY A DATA61/CSIRO RESEARCH INTERNSHIP. A PRELIMINARY REPORT ON PARTIAL RESEARCH FINDINGS IN THIS ARTICLE WAS PRESENTED AT THE 3RD INTERNATIONAL ICMI DATA-DRIVEN GRAND CHALLENGE WORKSHOP ON MULTIMODAL LEARNING ANALYTICS IN THE ARTICLE BY ZHOU ET AL. [51].
THE RESEARCH REPORTED HERE WAS PARTIALLY SUPPORTED BY THE UNIVERSITY OF FLORIDA AI CATALYST GRANT -P0195022 AND UNIVERSITY OF FLORIDA INFORMATICS INSTITUTE SEED FUNDING. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT VIEWS OF THE INSTITUTION.
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION AWARD EHR-1631428. THE DATA FOR THE EXPERIMENT CAN BE FOUND AT HTTPS://GITHUB.COM/ADAM-WINCHELL/HIGHLIGHTING-RESEARCH.
THE WORK REPORTED IN THE ARTICLE HAS BEEN FUNDED BY THE CHINESE MINISTRY OF EDUCATION HUMANITIES AND SOCIAL SCIENCE RESEARCH FUND FOR YOUTH (ITEM NUMBER:14YJC880028).
THE RESEARCH IS SUPPORTED BY THE ITALIAN MINISTRY OF EDUCATION, UNIVERSITY AND RESEARCH UNDER THE NATIONAL PROJECT "DIGITAL INTERACTIVE STORYTELLING IN MATHEMATICS: A COMPETENCE-BASED SOCIAL APPROACH", PRIN 2015, PROT. 20155NPRA5. WE ALSO ACKNOWLEDGE THE TEACHERS ROSSELLA ASCIONE, GABRIELLA DEJANA AND THEIR STUDENTS FOR THEIR ENTHUSIASTIC PARTICIPATION IN THE EXPERIMENTATION PHASE.
THIS WORK WAS SUPPORTED BY NATIONAL INSTITUTES OF HEALTH GRANTS CA088164 AND CA201358, THE UCSF GOLDBERG-BENIOFF PROGRAM IN CANCER TRANSLATIONAL BIOLOGY, AMAZON WEB SERVICES AND MICROSOFT AZURE WEB SERVICES.
THIS WORK IS SUPPORTED BY THE 7TH FRAMEWORK PROGRAMME LARGE-SCALE INTEGRATED PROJECT LAYERS (GRANT NO. 318209).
THE WORK PRESENTED IN THIS MANUSCRIPT IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT DUE #1348547 AND DUE #1348530. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER, HOWEVER, ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (GRANT IIS-1319938). ANY OPINION, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION.
THIS PROJECT IS FUNDED AND SUPPORTED BY THE TEACHING DEVELOPMENT GRANT OF THE EDUCATION UNIVERSITY OF HONG KONG (REF: TDG 2015/16).
THIS RESEARCH WAS SUPPORTED BY ESCUELA POLITECNICA NACIONAL.
THIS WORK IS SUPPORTED BY THE NORWEGIAN RESEARCH COUNCIL UNDER THE PROJECTS FUTURE LEARNING (NUMBER: 255129/H20) AND XDESIGN (290994/F20). WE WOULD LIKE TO THANK MANOLIS MAVRIKIS, THE EDITOR-IN-CHIEF OF BJET, FOR HIS COMMENTS AND SUGGESTIONS.
THIS MATERIAL WAS BASED UPON THE WORK SUPPORTED BY THE EUROPEAN UNION, WITH THE ERASMUS+ KA1 PROGRAMME FOR STUDENTS MOBILITY AND ERASMUS+ KA201 ROBOPISCES (INNOVATIVE EDUCATIONAL ROBOTICS STRATEGIES FOR PRIMARY SCHOOL EXPERIENCES) PROJECT (2019-1-IT02-KA201-063073), BY THE ITALIAN MINISTRY OF EDUCATION (MINISTERO DELL'ISTRUZIONE, DELL'UNIVERSITA E DELLA RICERCA-MIUR) WITH PROGRAMME FONDI STRUTTURALI EUROPEI-PROGRAMMA OPERATIVO NAZIONALE PER LA SCUOLA, COMPETENZE E AMBIENTI PER L'APPRENDIMENTO 2014-2020 ASSE I-ISTRUZIONE-FONDO SOCIALE EUROPEO (FSE)-OBIETTIVO SPECIFICO 10.1-AZIONE 10.1.1 SOTTOAZIONE 10.1.1A-PON INCLUSIONE SOCIALE E LOTTA AL DISAGIO, AND BY THE ITALIAN DEPARTMENT FOR GENDER EQUALITY (DIPARTIMENTO PER LE PARI OPPORTUNITA DELLA PRESIDENZA DEL CONSIGLIO DEI MINISTRI-DPO) WITH PROGRAMME IN ESTATE SI IMPARANO LE STEM.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. 1822864. IT WOULD NOT HAVE BEEN POSSIBLE WITHOUT THE AID GIVEN BY NEW YORK HALL OF SCIENCE AND ITS MANAGER OF EXPLAINER TRAINING, TRUCK MCDONALD, AND HIS TEAM.
THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO 765955.
THE PART OF THIS RESEARCH WORK WAS SUPPORTED BY THE GRANT IN-AID FOR SCIENTIFIC RESEARCH NO. 16H06304, 16H03078, 17K12947, 18H04125 AND NO. 18K02820 FROM THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY (MEXT) IN JAPAN.
THIS WORK WAS SUPPORTED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH FPI GRANTS UNDER GRANT BES-2012-054522 AND GRANT EEBB-I-16-11857 AND PROJECTS UNDER PROJECT TIN2011-29221-C03-01 (MAMIPEC) AND PROJECT TIN2014-59641-C2-2-P (BIG-AFF).
THE WORK PRESENTED IN THIS PAPER HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN COMMISSION IN THE CONTEXT OF THE GO-LAB PROJECT (GRANT AGREEMENT NO. 317601) UNDER THE INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) THEME OF THE 7TH FRAMEWORK PROGRAMME FOR R&D (FP7). THIS DOCUMENT DOES NOT REPRESENT THE OPINION OF THE EUROPEAN COMMISSION, AND THE EUROPEAN COMMISSION IS NOT RESPONSIBLE FOR ANY USE THAT MIGHT BE MADE OF ITS CONTENT.
THIS RESEARCH WAS SUPPORTED BY THE DEPARTMENT OF EDUCATION AND SCIENCE OF THE CITY OF MOSCOW.
WE WOULD LIKE TO THANK TWO ANONYMOUS REVIEWERS AND EDITORS FOR THEIR VALUABLE COMMENTS AND SUGGESTIONS FOR IMPROVING THIS ARTICLE. WE THANK THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN, R.O.C., UNDER GRANT NOS. MOST 103-2628-S-003 -002 -MY3, MOST 105-2511-S-003 -018 -MY3, MOST 105-2911-I-003-301, AND THE US NATIONAL SCIENCE FOUNDATION GRANTS, BCS-1349110 AND BCS-1338946, FOR FINANCIALLY SUPPORTING THIS RESEARCH. WE ARE ALSO GRATEFUL THAT THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE AIM FOR THE TOP UNIVERSITY PROJECT AND CENTER OF LEARNING TECHNOLOGY FOR CHINESE OF NATIONAL TAIWAN NORMAL UNIVERSITY (NTNU), SPONSORED BY THE MINISTRY OF EDUCATION, TAIWAN, R.O.C., AND THE INTERNATIONAL RESEARCH-INTENSIVE CENTER OF EXCELLENCE PROGRAM OF NTNU.
TEACHING REFORM RESEARCH PROJECT OF UNDERGRADUATE COLLEGES AND UNIVERSITIES OF SHANDONG PROVINCE (Z2016Z036), THE TEACHING REFORM RESEARCH PROJECT OF SHANDONG UNIVERSITY OF FINANCE AND ECONOMICS (JY2018062891470, JY201830, JY201810), SHANDONG PROVINCIAL SOCIAL SCIENCE PLANNING RESEARCH PROJECT (18CHLJ08), SCIENTIFIC RESEARCH PROJECTS OF UNIVERSITIES IN SHANDONG PROVINCE (J18RA136), YOUTH INNOVATIVE ON SCIENCE AND TECHNOLOGY PROJECT OF SHANDONG PROVINCE (2019RWF013), SDUST EXCELLENT TEACHING TEAM CONSTRUCTION PLAN (JXTD20160512 AND JXTD20180510), JINAN CAMPUS OF SDUST EXCELLENT TEACHING TEAM CONSTRUCTION PLAN (JNJXTD201711), TEACHING RESEARCH PROJECT OF SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY (JNJG2017104), NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61703243).
THE AUTHORS OF THIS WORK WISH TO ACKNOWLEDGE THE CENTER OF SYSTEMS AND INFORMATION SERVICES (CSIS) FOR HELPING WITH THE DATA PREPROCESSING AND THE COVENANT UNIVERSITY CENTER OF RESEARCH, INNOVATION AND DISCOVERY (CUCRID) FOR SPONSORING THIS RESEARCH.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI 16H06304, 18H05746 (F.Y.2018), 19K20942 (F.Y.2019), 20K20131, 20H01722, SPIRITS 2020 OF KYOTO UNIVERSITY.
THIS WORK HAS BEEN DONE IN THE CONTEXT OF THE INDIVIDUAL GRANT "SUBPROGRAMA DE MOVILIDAD DEL PROGRAMA ESTATAL DE PROMOCION DEL TALENTO Y SU EMPLEABILIDAD, EN EL MARCO DEL PLAN ESTATAL DE INVESTIGACION CIENTIFICA Y TECNICA Y DE INNOVACION" (GRANT PRX17/00613) SUPPORTED BY THE SPANISH MINISTRY FOR EDUCATION, CULTURE, AND SPORTS, THE PROJECTS "RISE WOMEN WITH DISABILITIES IN SOCIAL ENGAGEMENT (RISEWISE)" (GRANT 690874) SUPPORTED BY THE EUROPEAN COMMISSION IN THE HORIZON 2020 PROGRAMME, "COLLABORATIVE DESIGN FOR THE PROMOTION OF THE WELL-BEING IN INCLUSIVE SMART CITIES (DCOLBICI3)" (GRANT TIN2017-88327-R) SUPPORTED BY THE SPANISH MINISTRY FOR ECONOMY AND COMPETITIVENESS, MOSI-AGIL-CM (GRANT S2013/ICE-3019) SUPPORTED BY THE AUTONOMOUS REGION OF MADRID AND CO-FUNDED BY EU STRUCTURAL FUNDS FSE AND FEDER, "MANAGE YOUR TIME -LEARNING METHOD OF TIME MANAGEMENT AND ORGANIZATIONAL AUTONOMY IN MULTIPLE PROJECTS (GESTIE)" (GRANT 258 -2018-19) SUPPORTED BY THE UNIVERSIDAD COMPLUTENSE DE MADRID, AND THE "PROGRAMA DE CREACION Y CONSOLIDACION DE GRUPOS DE INVESTIGACION" (UCM-BSCH GR35/10-A).
THIS RESEARCH WAS SUPPORTED BY ERDF "CYBERSECURITY, CYBERCRIME AND CRITICAL INFORMATION INFRASTRUCTURES CENTER OF EXCELLENCE" (NO. CZ.02.1.01/0.0/0.0/16 019/0000822),
THIS WORK WAS SUPPORTED IN PART BY THE "RESEARCH FUNDING'' - DEPARTMENT OF JOURNALISM, SCHOOL OF COMMUNICATION, HONG KONG BAPTIST UNIVERSITY, KOWLOON TONG, HONG KONG, CHINA AND IN PART BY THE PROJECTS: "DISTRIBUTED ALGORITHMS FOR NODE RANKING IN COMPLEX AND SCALE FREE NETWORK'' -RICERCA DI BASE 2015, "EVOLUTIONARY NEURAL NETWORK OPTIMIZATION'' -RICERCA DI BASE 2017, "KNOWLEDGE AGENTS IN EVOLUTIONARY ENVIRONMENTS'' RICERCA DI BASE 2017-2019 OF DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE, UNIVERSITY OF PERUGIA, PERUGIA, ITALY.
THE AUTHORS THANK THE STAFF AT KAMIGAMO EXPERIMENTAL FOREST, KYOTO UNIVERSITY FOR SUPPORTING OUR EXPERIMENTS. THIS RESEARCH WAS FUNDED BY JSPS KAKENHI GRANT NUMBER JP16K00271, JP19K12064.
THIS WORK WAS SUPPORTED BY FONDECYT (11150231), UNIVERSITY OF COSTA RICA (UCR), MOOC-MAKER (561533-EPP-1-2015-1-ESEPPKA2-CBHE-JP, LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), CONICYT DOCTORADO NACIONAL 2017/21170467, CONICYT DOCTORADO NACIONAL 2016/21160081.
WE THANK ALL THE TEACHERS, SCHOOLS AND STUDENTS WHO TOOK PART IN OUR STUDY, GAIL KUSBIT, KENNETH HOLSTEIN, THE CODERS AND GRADERS FOR THE PROJECT. NSF AWARD #1530726 SUPPORTED THIS WORK.
WE THANK ALL THE TEACHERS, SCHOOLS AND STUDENTS WHO TOOK PART IN OUR STUDY, GAIL KUSBIT, KENNETH HOLSTEIN, THE CODERS AND GRADERS FOR THE PROJECT. THIS WORK IS SUPPORTED BY NSF AWARD #1530726.
THE RESEARCH PRESENTED IN THIS PAPER WAS PARTIALLY SUPPORTED BY THE FNI-SU-2018/80-10-84 PROJECT DB2BD -"CHALLENGES OF DEVELOPING ADVANCED SOFTWARE SYSTEMS AND TOOLS FOR BIG DATA IN CLOUD ENVIRONMENT"(ST. KLIMENT OHRIDSKI UNIVERSITY OF SOFIA, BULGARIA).
THIS WORK WAS PARTIALLY FUNDED BY THE STRATEGIC INSTRUCTIONAL INNOVATIONS PROGRAM (SIIP) AT COLLEGE OF ENGINEERING OF THE UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN AND BY THE NSF GRANTS SES-1419297 AND IIS-1441563.
THE RESEARCH THAT HAS LED TO THESE RESULTS HAS BEEN CARRIED OUT WITH FUNDS FROM THE "LA CAIXA" FOUNDATION, GRANTS FOR HELPING THE RESEARCH OF RAMON LLULL UNIVERSITY, LA SALLE, UNDER THE GRANT: 2020-URL-IR2NQ-006.
THE AUTHORS THANK THE OTHER MEMBERS OF THE ORIGINAL MIGEN TEAM FOR OUR STIMULATING COLLABORATIVE RESEARCH ON THE PROJECT, AND ESPECIALLY THE TEAM OF TEACHER COLLABORATORS FOR THEIR INSIGHTFUL FEEDBACK. THE MIGEN PROJECT WAS FUNDED BY THE ESRC/EPSRC TEL PROGRAMME (RES-139-250381). WE WOULD ALSO LIKE TO THANK THE ANONYMOUS REVIEWERS AND KEN HOLSTEIN FOR COMMENTS ON EARLIER VERSIONS OF THIS PAPER, AS WELL AS YVONNE VEZZOLI AND MINA VASALOU FROM THE IREAD PROJECT THAT HAS PROVIDED A NEW CONTEXT FOR REFLECTION ON THESE ISSUES. THE IREAD PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO 731724.
THIS WORK WAS SUPPORTED BY EU PROJECT PRACTICE-BASED EXPERIENTIAL LEARNING ANALYTICS RESEARCHAND SUPPORT, FP7-ICT-2013-11, ICT-2013.8.2: TECHNOLOGY-ENHANCED LEARNING.
THIS RESEARCH IS SUPPORTED BY THE PROJECT 'LEXUE 100, SMART EDUCATION' OF BEIJING LEXUE 100 ONLINE EDUCATION CO., LTD. THE AUTHORS THANK ALSO ALL THE TEACHERS AND STUDENTS WHO HAVE PARTICIPATED IN THE PROGRAM AND THE REVIEWERS' KIND SUGGESTIONS.
THIS WORK HAS BEEN CO-FUNDED BY THE EUROPEAN UNION, PROJECT NUMBER 2018-1-ES01-KA201-050646 (SPOTLIGHTERS) UNDER THE ERASMUS + PROGRAMME; AND PARTIALLY SUPPORTED BY FEDER, THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE MDM2015-0502, TIN2014-53199-C3-3-R, TIN2017-85179-C3-3-R. DHL IS A SERRA HUNTER FELLOW. NOTE: THE MATERIAL IN THIS PAPER REFLECTS ONLY THE AUTHORS' VIEWS AND THE EUROPEAN COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE THAT MAY BE MADE OF THE INFORMATION IT CONTAINS. THE AUTHORS WANT TO THANK PABLO ABENIA FOR THE TECHNICAL IMPLEMENTATION OF THE APPLICATION, AND MINNA HUOTILAINEN FOR HER ADVICE REGARDING THE STUDENT GRAPHICAL INTERFACE.
THIS VERSION INCLUDES A MORE COMPREHENSIVE SET OF ALGORITHMS, EVALUATION, AND CORRESPONDING DISCUSSION. THIS WORK WAS IN PART SUPPORTED BY ZOORNI INC. THE AUTHORS THANK THE ANONYMOUS REVIEWERS FOR THEIR VALUABLE COMMENTS.
THE PROJECT WAS FUNDED BY SOCIETY OF RESEARCH INTO HIGHER EDUCATION-RESEARCH SCOPING AWARD-SA1906.
OUR THANKS GO TO THE ASSOCIATION "TUNISIA FOR ALL"<SUP>6</SUP> FOR BELIEVING IN OUR RESEARCH WORK WITH ITS ONGOING MORAL AND FINANCIAL SUPPORT.
THIS WORK IS SUPPORTED BY THE SPANISH MINECO, SPAIN, UNDER GRANT TIN2016-78799-P (AEI/FEDER, UE). THE AUTHORS WOULD LIKE TO THANK MEMBERS OF THE ONLINE DEPARTMENT OF THIS UNIVERSITY FOR THEIR PARTICIPATION IN THIS PAPER. THEY ALSO WISH TO THANK THE DEGREE COORDINATORS, LECTURERS, AND STUDENTS INVOLVED IN THE STUDY.
THIS RESEARCH WAS MAINLY SUPPORTED BY THE INTERNATIONAL AFFAIRS OFFICE OF HAINAN UNIVERSITY (2018-2019). THE "INTRODUCTION TO CHINESE CULTURE" PROJECT OF HAINA UNIVERSITY PROVIDED FUNDING FOR CURRICULUM DEVELOPMENT.
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20). IN ADDITION, THE AUTHORS ARE EXTREMELY GRATEFUL TO THE ASSOCIATE EDITOR AND THE REVIEWERS FOR THEIR CONSTRUCTIVE COMMENTS AND USEFUL INSIGHTS, WHICH SIGNIFICANTLY IMPROVED THE PAPER.
THIS WORK HAS BEEN FUNDED BY THE EUROPEAN UNION UNDER THE OPENDISCOVERYSPACE (CIP-ICTPSP-2011-5) PROJECT.
THIS WORK WAS SUPPORTED BY THE NATIONAL EDUCATION SCIENCE FOUNDATION [PROJECT NO. CCA120110].
THIS RESEARCH WAS SUPPORTED BY THE ICT R&D PROGRAM OF MSIP/IITP.
THE RESEARCH REPORTED IN THIS ARTICLE WAS UNDERTAKEN AS PART OF THE FIRST AUTHOR'S PHD (KNIGHT, 2016), FUNDED BY THE OPEN UNIVERSITY UK. THE COAGMENTO TOOL HAS BENEFITED FROM THE SUPPORT OF A NUMBER OF GRANTS IN ITS DEVELOPMENT, SEE HTTP://COAGMENTO.ORG/ABOUT.PHP.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBERS JP25730203, JP26280129.
THIS WORK WAS SUPPORTED IN PARTY BY JSPS KAKENHI GRANT NO. 26540183, 26350357 AND 16H02926.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304.
THIS WORK WAS SUPPORTED IN PART BY THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY, JAPAN, AND BY THE JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE UNDER A GRANT-IN-AID FOR YOUNG SCIENTISTS (A) (NO. 25702007). WE WOULD LIKE TO SINCERELY THANK MR. SHUHEI ABE FOR HIS INVALUABLE CONTRIBUTIONS TO THE INITIAL STAGES OF THIS PROJECT.
THIS WORK WAS SUPPORTED BY THE RESEARCH FUNDS FROM NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 61702207), MOE (MINISTRY OF EDUCATION IN CHINA) PROJECT OF HUMANITIES AND SOCIAL SCIENCES (GRANT NO. 16YJC880052), CHINA SCHOLARSHIP COUNCIL (GRANT NO. 201706775022), NATIONAL SOCIAL SCIENCE FUND PROJECT OF CHINA (GRANT NO. 14BGL131), MINISTRY OF EDUCATION-CHINA MOBILE (GRANT NO. MCM20160401).
THIS WORK WAS SUPPORTED BY FONDECYT (CHILE) [GRANT NUMBER N 11150231], THE MOOC-MAKER PROJECT [GRANT NUMBER 561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP], AND THE COMISION NACIONAL DE INVESTIGACION CIENTIFICA - CONICYT MINISTRY OF EDUCATION, CHILE, PH.D. STUDENT FELLOWSHIPS AND UNIVERSITY OF CUENCA, ECUADOR. WE THANK DAN DAVIS AND TWO ANONYMOUS REVIEWERS FOR THEIR COMMENTS ON THE MANUSCRIPT. RESEARCHERS WHO WOULD LIKE TO OBTAIN THE DATASET USED IN THIS STUDY FOR FURTHER INVESTIGATION CAN REQUEST IT FROM THE CORRESPONDING AUTHOR.
THIS RESEARCH WAS FUNDED BY THE MINISTRY OF SCIENCE AND HIGHER EDUCATION OF RUSSIA, GOVERNMENT ORDER FOR 2020-2022, PROJECT NO. FEWM-2020-0037 (TUSUR).
THIS WORK IS SUPPORTED BY THE FUNDACION SENECA DEL CENTRO DE COORDINACION DE LA INVESTIGACION DE LA REGION DE MURCIA UNDER PROJECT 20813/PI/18, AND BY SPANISH MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES UNDER GRANTS TIN2016-78799-P (AEI/FEDER, UE).
THE AUTHORS SINCERELY THANK ANONYMOUS REVIEWERS FOR THEIR CONSTRUCTIVE COMMENTS, WHICH HELPED IMPROVE THIS PAPER. THIS WORK WAS SUPPORTED BY THE NATIONAL SOCIAL SCIENCE FUND PROJECT OF CHINA (GRANT NO. 14BGL131) AND THE RESEARCH FUNDS FROM THE HUMANITIES AND SOCIAL SCIENCES FOUNDATION OF THE MINISTRY OF EDUCATION (GRANT NO. 16YJC880052).
THIS WORK IS PARTIALLY SUPPORTED BY EUROPEAN UNION THROUGH THE ERASMUS+ PROGRAMME -PROJECTS MOOC-MAKER AND ACAI-LA 561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP, 561997-EPP-1-2015-1-ES-EPPKA2-CBHE-JP.
THE RESEARCH DISCUSSED IN THIS REFLECTION WAS FUNDED IN PART BY A GRANT TO THE AUTHOR FROM THE AUSTRALIAN RESEARCH COUNCIL (ARC) DISCOVERY PROGRAM DP150102144.
THIS RESEARCH WAS SUPPORTED BY JSPS KAKENHI GRANT-IN-AID FOR SCIENTIFIC RESEARCH (S) GRANT NUMBER 16H06304.
THIS WORK IS FUNDED (OR PART-FUNDED) BY THE ERDF - EUROPEAN REGIONAL DEVELOPMENT FUND THROUGH THE COMPETE PROGRAMME (OPERATIONAL PROGRAMME FOR COMPETITIVENESS) AND BY NATIONAL FUNDS THROUGH THE FCT - FUNDACAO PARA A CIENCIA E A TECNOLOGIA (PORTUGUESE FOUNDATION FOR SCIENCE AND TECHNOLOGY) WITHIN PROJECT "FCOMP - 01-0124-FEDER-022701". THIS PAPER IS BASED ON AN INVITED PRESENTATION UNDER THE SLACTIONS WORKSHOP ON "TECHNOLOGY CHALLENGES OF VWS IN EDUCATION & TRAINING TOWARD WIDESPREAD ADOPTION," AT THE 5TH INTERNATIONAL CONFERENCE ON GAMES AND VWS FOR SERIOUS APPLICATIONS, VS-GAMES 2013, HELD IN BOURNEMOUTH, UNITED KINGDOM, 11-13 SEPTEMBER 2013.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY JSPS KAKENHI GRANT NO. JP17H00773.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF EDUCATION OF THE REPUBLIC OF KOREA AND THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF-2015S1A5B5A02010250).
THIS WORK HAS BEEN SUPPORTED IN PART BY STANFORD BIOX IIP, STANFORD VPOL GRANTS, LEMANN CENTER FOR EDUCATIONAL ENTREPRENEURSHIP AND INNOVATION IN BRAZIL, NSF CYBERLEARNING (NSF 1324753), NSF BIFOCAL MODELING (NSF 1055130), SIGF, BIOX GRADUATE STUDENT FELLOWSHIP AND REU. WE LIKE TO THANK J. GRAYSON, G.I. LEE AND P. FLOYD.
THIS WORK WAS SUPPORTED BY THE RESEARCH FUNDS FROM THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 61702207, L1724007, 31600918), CHINA SCHOLARSHIP COUNCIL (GRANT NO. 201706775022), NATIONAL KEY RESEARCH AND DEVELOPMENT PROGRAM OF CHINA (GRANT NO. 2017YFB1401303), HUBEI PROVINCIAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 2018CFB518, 2018CFB404) AND FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES (GRANT NO. CCNU18QN009).
THE ECRAFT2LEARN PROJECT IS FUNDED BY THE EUROPEAN UNION'S HORIZON 2020 COORDINATION & RESEARCH AND INNOVATION ACTION UNDER GRANT AGREEMENT NO 731345.
THIS STUDY WAS SUPPORTED BY THE NATURAL SCIENCE FOUNDATION OF THE JIANGSU HIGHER EDUCATION INSTITUTIONS OF CHINA(NO. 17KJD520006).
NATIONAL SCIENCE FOUNDATION, GRANT/AWARD NUMBER: IIS-1441563
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION.
THIS RESEARCH WAS SUPPORTED BY THE EFFECTIVE LEARNING ANALYTICS PROJECT AT THE UNIVERSITY OF EXETER. THIS PROJECT AIMS TO MAKE EFFECTIVE USE OF DATA TO HELP STUDENTS REACH THEIR FULL ACADEMIC POTENTIAL WHILE STUDYING AT UNIVERSITY OF EXETER.
THE AUTHORS ACKNOWLEDGE TRAVEL FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 FRAMEWORK PROGRAMME THROUGH NOTRE PROJECT (H2020-TWINN-2015, GRANT AGREEMENT NUMBER: 692058).
THIS WORK IS CO-FUNDED BY THE EUROPEAN UNION UNDER THE PELARS PROJECT. THIRD AUTHOR WAS PARTIALLY SUPPORTED BY AGENCIA ESTATAL DE INVESTIGACION (AEI) Y EL FONDO EUROPEO DE DESARROLLO REGIONAL (FEDER), TIN2016-80774-R.
WE WOULD LIKE TO THANK THE REVIEWERS FOR THEIR CONSTRUCTIVE FEEDBACK. MO'N IS SUPPORTED BY THE SCIENCE FOUNDATION IRELAND UNDER GRANTS 13/IA/1850 AND 13/RC/2094. THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. 1617087. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PUBLICATION ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION.
THIS RESEARCH WAS SUPPORTED BY GRANTS FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA.
THANKS TO PROFS. FRANKLYN TURBAK AND ENI MUSTAFARAJ FOR THEIR CONTINUED SUPPORT AND ADVICE. THIS WORK WAS SUPPORTED BY WELLESLEY COLLEGE FACULTY GRANTS AND BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT DUE-1226216. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR, AND DO NOT NECESSARILY REFLECT THE VIEW OF THE NATIONAL SCIENCE FOUNDATION.
RESEARCH REPORTED IN THIS PUBLICATION WAS SUPPORTED BY THE NATIONAL CANCER INSTITUTE OF THE NATIONAL INSTITUTES OF HEALTH UNDER AWARD NUMBERS (R01CA202752-01A1, R01CA208236-01A1, R01 CA216579-01A1, R21CA179327-01, R21CA195152-01 AND U24CA199374-01) THE NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES UNDER AWARD NUMBER R01DK098503-02, THE NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES UNDER AWARD NUMBER TL1TR001880, THE NATIONAL HEART LUNG AND BLOOD INSTITUTE UNDER AWARD NUMBER R01-HL105993, THE DOD PROSTATE CANCER SYNERGISTIC IDEA DEVELOPMENT AWARD (PC120857); THE NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES (US) UNDER AWARD NUMBER 5T32DK007470, THE NATIONAL CENTER FOR RESEARCH RESOURCES UNDER AWARD NUMBER UNDER THE AWARD NUMBER 1 C06 RR12463-01, THE DOD LUNG CANCER IDEA DEVELOPMENT NEW INVESTIGATOR AWARD (LC130463), THE DOD PROSTATE CANCER SYNERGISTIC IDEA DEVELOPMENT AWARD (PC120857); THE DOD PEER REVIEWED CANCER RESEARCH PROGRAM (W81XWH-16-1-0329), THE CASE COMPREHENSIVE CANCER CENTER PILOT GRANT, THE OHIO THIRD FRONTIER TECHNOLOGY VALIDATION FUND, THE VELASANO GRANT FROM THE CLEVELAND CLINIC THE WALLACE H. COULTER FOUNDATION PROGRAM IN THE DEPARTMENT OF BIOMEDICAL ENGINEERING AT CASE WESTERN RESERVE UNIVERSITY, THE WALLACE H. COULTER FOUNDATION PROGRAM IN THE DEPARTMENT OF BIOMEDICAL ENGINEERING, THE THE CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAM (CTSA) AT CASE WESTERN RESERVE UNIVERSITY, AND THE I-CORPS@OHIO PROGRAM. JJN WAS SUPPORTED BY NINDS F30NS092227. THE CONTENT IS SOLELY THE RESPONSIBILITY OF THE AUTHORS AND DOES NOT NECESSARILY REPRESENT THE OFFICIAL VIEWS OF THE NATIONAL INSTITUTES OF HEALTH. THE FUNDERS HAD NO ROLE IN STUDY DESIGN, DATA COLLECTION AND ANALYSIS, DECISION TO PUBLISH, OR PREPARATION OF THE MANUSCRIPT.
THIS WORK IS CO-FUNDED BY THE EUROPEAN UNION UNDER THE PELARS PROJECT (GA NO. 619738) AND WE PARTICULARLY THANK DANIEL SPIKOL AND EMANUELE RUFFALDI FOR THEIR SUPPORT. THE THIRD AUTHOR WAS PARTIALLY SUPPORTED BY AGENCIA ESTATAL DE INVESTIGACION (AEI) Y EL FONDO EUROPEO DE DESARROLLO REGIONAL (FEDER), TIN2016-80774-R.
THIS WORK WAS SUPPORTED BY AUSTRALIAN RESEARCH COUNCIL [FT180100280]; UNSW FACULTY OF ARTS AND SOCIAL SCIENCES, AND FACULTY FUNDING FOR HIGHER DEGREE RESEARCHERS.
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE EUROPEAN PROJECT SODALITE (GRANT AGREEMENT 825480) AND BY THE NATIONAL RESEARCH PROJECT SISMA (MIUR, PRIN 2017, CONTRACT 201752ENY B)
THIS WORK WAS SUPPORTED BY THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF) GRANT FUNDED BY THE KOREA GOVERNMENT (MSIP) (NRF-2016R1A2B1010253).
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS PROJECT WAS FUNDED IN PART BY THE UNIVERSITY OF TEXAS SYSTEM INITIATIVE ON TRANSFORMING UNDERGRADUATE EDUCATION.
THIS STUDY HAS BEEN CONDUCTED WITH SUPPORT FROM THE NATIONAL RESEARCH, DEVELOPMENT AND INNOVATION FUND OF HUNGARY, FINANCED UNDER THE OTKA K135727 FUNDING SCHEME, AND WAS ALSO FUNDED BY EFOP-3.4.3-16-2016-00014.
THIS PROJECT HAS RECEIVED FUNDING FOR THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO 739578 AND THE GOVERNMENT OF THE REPUBLIC OF CYPRUS THROUGH THE DIRECTORATE GENERAL FOR EUROPEAN PROGRAMMES, COORDINATION AND DEVELOPMENT.
THIS WORK WAS SUPPORTED BY A GRANT FROM THE STIFTERVERBAND FUR DIE DEUTSCHE WISSENSCHAFT, GERMANY, AND THE THURINGIAN MINISTRY FOR ECONOMIC AFFAIRS, SCIENCE AND DIGITAL SOCIETY AWARDED TO JULIA DIETRICH, AND BY GRANT NO. 01JA1808 FROM THE FEDERAL MINISTRY OF EDUCATION AND RESEARCH, GERMANY, AWARDED TO BARBEL KRACKE.
THIS WORK WAS SUPPORTED BY THE H2020 EUROPEAN RESEARCH COUNCIL [GRANT 669074 (CEITER)]; PROJECT,TU TEE -TALLINN UNIVERSITY AS A PROMOTER OF INTELLIGENT LIFESTYLE"UNDER ACTIVITY A5 IN THE TALLINN UNIVERSITY CENTRE OF EXCELLENCE IN EDUCATIONAL INNOVATION [2014-2020.4.01.16-0033].
THIS WORK WAS PARTIALLY FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER MDM-2015-0502, TIN2017-85179-C3-3-R. D. HERNANDEZ-LEO ACKNOWLEDGES FINANCIAL SUPPORT BY ICREA UNDER THE ICREA ACADEMIA PROGRAM.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE BMBF (GERMAN MINISTRY OF EDUCATION AND RESEARCH) GRANT "LISA - LEARNING ANALYTICS FUR SENSORBASIERTES ADAPTIVES LERNEN", 2016-2019.
THIS WORK WAS SUPPORTED BY THE RESEARCH FUNDS FROM NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NUMBER: 61702207, 31600918), NATIONAL KEY RESEARCH & DEVELOPMENT PROGRAM OF CHINA (GRANT NUMBER: 2017YFB1401303), HUMANITIES AND SOCIAL SCIENCES FOUNDATION OF THE MINISTRY OF EDUCATION (GRANT NUMBER: 16YJC880052), CHINA SCHOLARSHIP COUNCIL (GRANT NUMBER: 201706775022), MINISTRY OF EDUCATION-CHINA MOBILE (GRANT NUMBER: MCM20160401), HUBEI PROVINCIAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NUMBER: 2018CFB518).
THIS RESEARCH IS SUPPORTED BY JSPS KAKENHI UNDER GRANT NUMBER 16K01022 AND 17K01036.
THIS RESEARCH HAS BEEN CONDUCTED WITH THE SUPPORT OF THE AUSTRALIAN GOVERNMENT RESEARCH TRAINING PROGRAM SCHOLARSHIP.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS WORK WAS CONDUCTED AS PART OF THE DATAFIED RESEARCH PROJECT FUNDED BY THE GERMAN FEDERAL MINISTRY OF EDUCATION AND RESEARCH (PROJECT NUMBERS 01JD1803A AND 01JD1803B).
THIS WORK WAS SUPPORTED BY SPENCER FOUNDATION [#201400178].
WE APPRECIATE FOR THE COOPERATION OF THE STUDENTS WHO JOINED THE EVALUATION EXPERIMENT USING PGTRACER. THIS RESEARCH IS SUPPORTED BY JSPS KAKENHI UNDER GRANT NUMBERS 16K01022 AND 17K01036.
WE WOULD LIKE TO THANK THE REVIEWERS FOR THEIR EXCELLENT AND DETAILED FEEDBACK. IN PARTICULAR, WE ARE GRATEFUL FOR THE CONTINUOUS ENCOURAGEMENTS FROM THE SPECIAL EDITOR OF THIS SPECIAL ISSUE ON INNOVATIONS IN CBA, PROF SAMUEL GREIFF QUAN NGUYEN IS SUPPORTED AND FUNDED BY THE LEVERHULME TRUST RESEARCH PROJECT GRANT "OPEN WORLD LEARNING".
THIS RESEARCH WAS SUPPORTED BY THE PROGRAMS BIA2016-77464-C2-1-R OF THE NATIONAL PLAN FOR SCIENTIFIC RESEARCH, DEVELOPMENT AND TECHNOLOGICAL INNOVATION 2013-2016, GOVERNMENT OF SPAIN, TITLED "GAMIFICACION PARA LA ENSENANZA DEL DISENO URBANO Y LA INTEGRACION EN ELLA DE LA PARTICIPACION CIUDADANA (ARCHGAME4CITY)" AND BIA2016-77464-C2-2-R OF THE NATIONAL PLAN FOR SCIENTIFIC RESEARCH, DEVELOPMENT AND TECHNOLOGICAL INNOVATION 2013-2016, GOVERNMENT OF SPAIN, TITLED "DISENO GAMIFICADO DE VISUALIZACION 3D CON SISTEMAS DE REALIDAD VIRTUAL PARA EL ESTUDIO DE LA MEJORA DE COMPETENCIAS MOTIVACIONALES, SOCIALES Y ESPACIALES DEL USUARIO (EDUGAME4CITY)".
WE ARE GRATEFUL FOR NSF/EHR/DRK12 GRANT #1119144 AND NSF/IIS GRANT # 0845997 AND THE TEACHERS AND STUDENTS WHO PARTICIPATED IN THESE STUDIES. WE ARE THANKFUL FOR THE MANY CONTRIBUTIONS OF OUR RESEARCH GROUP, EDGE AT TERC, INCLUDING ERIN BARDAR, JAMIE LARSEN, BARBARA MACEACHERN, AND KATIE STOKINGER, WITHOUT WHOM THE STUDIES COULD NOT HAVE BEEN CONDUCTED.
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN COMMUNITY'S SEVENTH FRAMEWORK PROGRAMME (FP7/2007-2013) [GRANT NUMBER 317964 JUXTALEARN]
THE CENTRE FOR ASSESSMENT RESEARCH, POLICY AND PRACTICE IN EDUCATION (CARPE) IS SUPPORTED BY A GRANT FROM PROMETRIC INC., A TESTING SERVICES PROVIDER HEADQUARTERED IN BALTIMORE, MARYLAND. THE VIEWS EXPRESSED IN THE PAPER ARE SOLELY THE RESPONSIBILITY OF THE AUTHORS AND HAVE NOT BEEN INFLUENCED IN ANY WAY BY PROMETRIC INC. OPEN ACCESS FUNDING PROVIDED BY IREL.
THIS WORK IS PARTIALLY SUPPORTED BY THE EMADRID PROJECT (FUNDED BY THE REGIONAL GOVERNMENT OF MADRID) UNDER GRANT NO S2013/ICE-2715, THE COMMIN PROJECT (FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS) UNDER GRANT NO IPT-2012-0883-430000 AND THE RESET PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT RESET TIN2014-53199-C3-1-R. THE RESEARCH HAS BEEN PARTIALLY FINANCED BY THE SURF FOUNDATION OF THE NETHERLANDS AND THE KU LEUVEN RESEARCH COUNCIL (GRANT AGREEMENT NO. C24/16/017).
SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS (MINECO), GRANT/AWARD NUMBER: TIN2017-89266-R
THIS WORK IS SUPPORTED BY THE PARIS-SACLAY INSTITUT DE LA SOCIETE NUMERIQUE FUNDED BY THE IDEX PARIS-SACLAY, ANR-11-IDEX-0003-02.
AUTHORS WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF THE FOLLOWING EUROPEAN UNION PROJECTS: RIPLECS (517836-LLP-I-2011-1-ES-ERASMUS-ESMO), PAC (517742-LLP-1-2011-1-BG-ERASMUS-ECUE), EMTM (2011-1-PLLLE005-19883), MUREE (530332-TEMPUS-I-2012-1-JOTEMPUS-JPCR), AND GO-LAB (FP7-ICT-2011-8/317601). FURTHERMORE, WE THANK SPANISH MINISTRY OF SCIENCE AND INNOVATION FOR THE PROJECT TIN2008-06083-C03/TSI AND THE REGION OF MADRID FOR THE SUPPORT OF E-MADRID NETWORK OF EXCELLENCE (S2009/TIC-1650). MOREOVER, AUTHORS GRATEFULLY ACKNOWLEDGE D. ALEJANDRO MARCOS BARREIRO FOR COLLABORATING WITHIN IMPLEMENTATION TASKS OF THE SYSTEM, AS WELL AS THE STUDENT PARTICIPANTS THAT TOOK PART IN THE SURVEY.
WITH THE SUPPORT OF THE SECRETARIA D'UNIVERSITATS I RECERCA OF THE DEPARTMENT OF BUSINESS AND KNOWLEDGE OF THE GENERALITAT DE CATALUNYA WITH THE HELP OF 2017 SGR 934
THIS RESEARCH IS SUPPORTED BY JSPS KAKENHI UNDER GRANT NUMBER 16K01022 AND 17K01036.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION UNDER THE OPENDISCOVERYSPACE (CIP-ICT-PSP-2011-5) PROJECT AND THE UNIVERSITY OF CADIZ UNDER ITS PROGRAMME FOR INNOVATION IN EDUCATION (PROJECT CODE AAA_14_009) AND ITS DEPARTMENT OF COMPUTER SCIENCE.
THIS WORK WAS CARRIED OUT AS PART OF THE VISAIGLE PROJECT, FUNDED BY THE SPANISH NATIONAL RESEARCH AGENCY (AEI) WITH ERDF FUNDS UNDER GRANT REF. TIN2017-85797-R. WE WOULD LIKE TO THANK RAUL GOMEZ SANCHEZ FOR HIS MUCH-VALUED TECHNICAL SUPPORT DURING THE PROJECT.
THIS WORK WAS PARTIALLY SUPPORTED/CO-FUNDED BY THE EUROPEAN COMMUNITY/EUROPEAN UNION UNDER THE INFORMATION AND COMMUNICATION TECHNOLOGIES THEME OF THE 7TH FRAMEWORK PROGRAM FOR R&D, NATURAL SCIENCES AND ENGINEERING RESEARCH COUNCIL OF CANADA, AND THE CANADA RESEARCH CHAIRS PROGRAM. THE AUTHORS ARE THANKFUL TO PROFESSOR PHILIP H. WINNE OF SIMON FRASER UNIVERSITY FOR THE GUIDANCE THROUGHOUT THE DEVELOPMENT AND IMPLEMENTATION OF THE STUDY AND THE COMMENTS OF DRAFT VERSIONS OF THIS PAPER.
THE AUTHORS WOULD LIKE TO THANK ALL THE PARTICIPANTS OF THIS STUDY. THIS WORK WAS CARRIED OUT DURING THE TENURE OF AN ERCIM "ALAIN BENSOUSSAN" FELLOWSHIP PROGRAMME. THIS WORK HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT NO. 751510, AND BY THE NORWEGIAN RESEARCH COUNCIL UNDER THE PROJECT FUTURE LEARNING (NUMBER: 255129/H20) AND XDESIGN (290994/F20).
THIS WORK IS SUPPORTED IN PART BY AN AWS EDUCATE GRANT, MICROSOFT AZURE EDUCATOR GRANT AWARD AND A GOOGLE CLOUD PLATFORM GRANT.
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) (IIP 1416595; DRL 1108845; IIS 1523091). ANY OPINIONS, FINDINGS AND CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF.
WE THANK MARCI GLAUS, XIAOYI SUN, AND BROOKE WARD OF THE UNIVERSITY OF WISCONSIN-MADISON FOR THEIR HELP WITH THE COLLECTION AND ANNOTATION OF THE CLASSROOM DATA. THIS RESEARCH WAS SUPPORTED BY THE INSTITUTE OF EDUCATION SCIENCES (IES) (R305A130030). ANY OPINIONS, FINDINGS AND CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHOR AND DO NOT REPRESENT THE VIEWS OF THE IES.
THIS RESEARCH IS CONDUCTED WITHIN THE EMOVIZ PROJECT FUNDED BY THE REGION AUVERGNE-RHONE-ALPES. WE THANK THE SPEAKPLUS (HTTPS://SPEAKPLUS.FR) COMPANY FOR FUNDING THIS RESEARCH WORK. WE ALSO THANK THE LEARNERS AND TUTORS WHO PARTICIPATED TO THE STUDY.
THIS WORK WAS SUPPORTED BY THE SPANISH GOVERNMENT THROUGH FORMATIVE ASSESSMENT, LEARNING ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION, ICT-FLAG ENHANCING ICT EDUCATION, UNDER PROJECT TIN2013-45303-P.
THIS RESEARCH WAS SUPPORTED IN PART BY THE INSTITUTE FOR EDUCATION SCIENCES AND NATIONAL SCIENCE FOUNDATION (IES R305A080589, IES R305G20018-02, AND DRL-1417997). IDEAS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE IES OR THE NSF.
WE THANK MULTIPLE NSF GRANTS (E.G., 1931523, 1940236, 1917713, 1903304, 1822830, 1759229, 1724889, 1636782, 1535428, 1440753, 1316736, 1252297, 1109483, & DRL-1031398), THE US DEPARTMENT OF EDUCATION INSTITUTE FOR EDUCATION SCIENCES (E.G., IES R305A170137, R305A170243, R305A180401, R305A120125, R305A180401, & R305C100024) AND THE GRADUATE ASSISTANCE IN AREAS OF NATIONAL NEED PROGRAM (E.G., P200A180088 & P200A150306), AND EIR THE OFFICE OF NAVAL RESEARCH (N00014-18-1-2768 AND OTHER FROM ONR) AND FINALLY SCHMIDT FUTURES.
THE WORK IS FUNDED BY HK ITF UNDER GRANT ITS/388/17FP. Y. WANG IS THE CORRESPONDING AUTHOR. THANK TRUMPTECH (HONG KONG) LIMITED FOR THE DATA SUPPORT AND MIN XU FOR PROOFREADING.
THIS RESEARCH IS MADE POSSIBLE BY SUPPORT OF THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. 1544273. WE WOULD LIKE TO THANK VERONICA CATETE, RACHEL HARRED, ZHONGXIU PEDDYCORD-LIU, AND GE GAO FOR THEIR SINCERE REVIEW.
FUNDS FROM ECONOMIC AND SOCIAL RESEARCH COUNCIL (ESRC) AWARDED TO TT THROUGH OXFORD UNIVERSITY, WITH ADDITIONAL FUNDS FROM GLOBAL CHALLENGES RESEARCH FUND (GCRF) INCUBATOR AWARD NUMBER: 161/105 GRANT AWARDED TO NW, ME AND CP SUPPORTED ASPECTS OF THIS WORK. THE AUTHORS WOULD LIKE TO THANK MIKE ENGLISH, HILARY EDGCOMBE, JAKOB ROSSNER, CONRAD WANYAMA, AND NAOMI MUINGA WHO HAVE SUPPORTED THE IMPLEMENTATION OF LIFE PROJECT. THE FUNDERS HAD NO ROLE IN DRAFTING OR SUBMITTING THIS MANUSCRIPT.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER AWARD NUMBER 1546393.
THIS WORK IS SUPPORTED BY THE EU FUNDED PROJECTS WESPOT (GRANT AGREEMENT 318499), LEARNING LAYERS (GRANT AGREEMENT: 318209) AND AFEL (GRANT AGREEMENT: 687916), THE AUSTRIAN SCIENCE FUND (FWF) PROJECTS MERITS (GRANT NO P25593-G22) AND OMFIX (GRANT NO P27709-G22), AND THE KNOW-CENTER. THE KNOW-CENTER IS FUNDED WITHIN THE AUSTRIAN COMET PROGRAM UNDER THE AUSPICES OF THE AUSTRIAN MINISTRY OF TRANSPORT, INNOVATION AND TECHNOLOGY, THE AUSTRIAN MINISTRY OF ECONOMICS AND LABOR AND BY THE STATE OF STYRIA. WE ARE ALSO VERY GRATEFUL TO VEREIN FUR BILDUNG UND ERZIEHUNG DER GRAZER SCHULSCHWESTERN AND PARTICULARLY TO THE TEACHER JURGEN MACK FOR THE GREAT SUPPORT IN IMPLEMENTING THE STUDY IN HIS LESSONS.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. 1544273.
THIS WORK WAS FUNDED IN PART BY THE NATIONAL SCIENCE FOUNDATION (DRL-1661036, DRL-1713110), THE U.S. ARMY RESEARCH LABORATORY (W911NF-18-2-0039), THE WISCONSIN ALUMNI RESEARCH FOUNDATION, AND THE OFFICE OF THE VICE CHANCELLOR FOR RESEARCH AND GRADUATE EDUCATION AT THE UNIVERSITY OF WISCONSIN-MADISON. THE OPINIONS, FINDINGS, AND CONCLUSIONS DO NOT REFLECT THE VIEWS OF THE FUNDING AGENCIES, COOPERATING INSTITUTIONS, OR OTHER INDIVIDUALS.
THE RESEARCH RESULTS HAVE BEEN ACHIEVED BY "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), THE COMMISSIONED RESEARCH OF NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN; GRANT-IN-AID FOR SCIENTIFIC RESEARCH(S) NO.16H06304.
THIS WORK WAS SUPPORTED BY NSF AWARD #1530726, AND BY THE INSTITUTE OF EDUCATION SCIENCES, U.S. DEPARTMENT OF EDUCATION, THROUGH GRANT R305B150008 TO CARNEGIE MELLON UNIVERSITY. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT THE VIEWS OF THE INSTITUTE OR THE U.S. DEPARTMENT OF EDUCATION. IN ADDITION, WE THANK JASPER TOM, FRANCESKA XHAKAJ, MARY BETH KERY, AND ALL PARTICIPATING TEACHERS AND STUDENTS.
THE RESEARCH REPORTED HERE WAS SUPPORTED, IN WHOLE OR IN PART, BY THE INSTITUTE OF EDUCATION SCIENCES, U.S.DEPARTMENT OF EDUCATION, THROUGH GRANT R305B150008 TO CARNEGIE MELLON UNIVERSITY. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT THE VIEWS OF THE INSTITUTE OR THE U.S. DEPARTMENT OF EDUCATION.
WE GRATEFULLY ACKNOWLEDGE THE FINANCIAL SUPPORT FOR THIS PROJECT PROVIDED BY UBC'S TLEF GRANT (PROJECT GRANT: 22G36907) AND BY THE SCIENCE CENTER FOR LEARNING AND TEACHING (SKYLIGHT) AT THE UBC'S FACULTY OF SCIENCE.
THIS PAPER IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANTS NUMBER 1535300 (FOR ALL AUTHORS) AND 1320527 (FOR PS). THE AUTHORS WOULD LIKE TO THANK SARAH EICHHORN, WENLIANG HE, AND DIMITRIS KOTZIAS FOR THEIR ASSISTANCE IN ACQUIRING AND PREPROCESSING OF THE CLICKSTREAM DATA USED IN THIS PAPER.
THIS STUDY WAS FINANCED IN PART BY THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR -BRASIL (CAPES) -FINANCE CODE 001.
THE NATIONAL COUNCIL OF SCIENCE AND TECHNOLOGY (CONACYT) IN MEXICO SUPPORTED THIS WORK.
VENI GRANT OF THE FIRST AUTHOR (451-16-017). WE THANK PARTICIPATING SCHOOLS, STUDENTS TEACHERS AND MASTER STUDENT NADINE BRIL FOR THEIR CONTRIBUTION.
THIS WORK WAS SUPPORTED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER THE PROJECTS TIN2017-84796-C2-1-R AND TIN2015-73566-JIN AND BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF/FEDER) UNDER THE PROJECT CN2012/151 OF THE GALICIAN MINISTRY OF EDUCATION.
THIS PAPER IS BASED ON WORK SUPPORTED BY MCGRAW-HILL EDUCATION. WE WOULD LIKE TO EXTEND OUR APPRECIATION TO OUR CDO STEPHEN LASTER AND THE ANALYTICS VP ALFRED ESSA. ANY OPINIONS, FINDINGS, OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT POSITIONS OR POLICIES OF THE COMPANY.
ACCESS TO THE DATA EMPLOYED IN THIS PAPER WAS GRANTED BY MIT'S INSTITUTIONAL RESEARCH OFFICE. THIS WORK HAS BEEN PARTIALLY FUNDED BY RESEARCH PROJECTS TIN2014-53199-C3-2-R AND VA277U14.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE SUPPORT AND FUNDING OF THIS PROJECT BY THE DEANSHIP OF SCIENTI~C RESEARCH AT THE UNIVERSITY OF HA'IL, SAUDI ARABIA, UNDER GRANT ``RG-20 146''.
THIS RESEARCH WAS SUPPORTED BY THE FACULTY RESEARCH FUND (102041) AND THE LAM WOO RESEARCH FUND (LWI20011) OF LINGNAN UNIVERSITY, HONG KONG, THE ONE-OFF SPECIAL FUND FROM CENTRAL AND FACULTY FUND IN SUPPORT OF RESEARCH FROM 2019/20 TO 2021/22 (MIT02/19-20), THE RESEARCH CLUSTER FUND (RG 78/2019-2020R), AND THE INTERDISCIPLINARY RESEARCH SCHEME OF THE DEAN'S RESEARCH FUND 2019-20 (FLASS/DRF/IDS-2) OF THE EDUCATION UNIVERSITY OF HONG KONG, HONG KONG.
THIS WORK WAS SUPPORTED BY NIH GRANT R01CA216265. JL IS SUPPORTED THROUGH THE BURROUGHS WELLCOME FUND BIG DATA IN THE LIFE SCIENCES AT DARTMOUTH. WE WOULD LIKE TO ACKNOWLEDGE CHRISTIAN HAUDENSCHILD FOR HELP WITH THE CODE REVIEW.
THIS PAPER WAS SUPPORTED BY FUNDING FROM THE NATIONAL SCIENCE FOUNDATION (DRL#1431552) AND THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC 895-2011-1006).
THIS WORK WAS SUPPORTED BY THE JUAN BOLIVAR FAMILY ENDOWMENT.
THIS WORK WAS SUPPORTED BY NSF AWARD #1530726, AND BY THE INSTITUTE OF EDUCATION SCIENCES, U.S. DEPARTMENT OF EDUCATION, THROUGH GRANT R305B150008 TO CARNEGIE MELLON UNIVERSITY. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT THE VIEWS OF THE INSTITUTE OR THE U.S. DEPARTMENT OF EDUCATION. IN ADDITION, WE THANK THE DATASHOP AND CTAT/TUTORSHOP TEAMS, FRANCESKA XHAKAJ, JASPER TOM, RAN LIU, AMOS GLENN, MARY BETH KERY, AND ALL PARTICIPATING TEACHERS AND STUDENTS.
THIS RESEARCH WAS SUPPORTED BY NATIONAL SCIENCE FOUNDATION IUSE AWARD 1915724, AND THE ISRAELI MINISTRY OF SCIENCE, TECHNOLOGY AND SPACE AWARD 3-15607. THANKS TO HYUNSOO GLORIA KIM FOR HELP WITH LABELING POSTS AND USEFUL DISCUSSIONS ON THE PAPER.
THE WORKSHOPS WERE SUPPORTED BY A BUILDING COMMUNITY AND CAPACITY GRANT FROM THE NATIONAL SCIENCE FOUNDATION (NSF BCC 14-517). ANY OPINIONS, FINDINGS, CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THOSE OF THE NATIONAL SCIENCE FOUNDATION. WE THANK ALL OF OUR WORKSHOP PARTICIPANTS FOR THEIR INSIGHTS IN EXPLORING THIS DIVERSE RESEARCH COMMUNITY.
THE RESEARCH PRESENTED IN THIS PAPER HAS BEEN SUPPORTED BY FUNDING FROM NATIONAL SCIENCE FOUNDATION (DRL1431552) AND THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC 895-2011-1006). ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR(S) AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION OR SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA. THE AUTHORS OF THIS STUDY WOULD LIKE TO ACKNOWLEDGE NICHOLAS MUDRICK FOR HIS INVOLVEMENT WITH METATUTOR.
THESE RESEARCH RESULTS HAVE BEEN ACHIEVED UNDER THE THEME OF "RESEARCH AND DEVELOPMENT ON FUNDAMENTAL AND UTILIZATION TECHNOLOGIES FOR SOCIAL BIG DATA" (178A03), AS COMMISSIONED RESEARCH FOR THE NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (NICT), JAPAN.
THIS RESEARCH WAS FUNDED BY THE DIGITAL LEARNING FOR DEVELOPMENT (DL4D) INITIATIVE IN ASIA. GRANT NO. 2016-0002.
THE RESEARCH REPORTED HERE WAS SUPPORTED BY THE INSTITUTE OF EDUCATION SCIENCES, U.S. DEPARTMENT OF EDUCATION, THROUGH GRANT R305B140009 TO THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHOR AND DO NOT REPRESENT VIEWS OF THE INSTITUTE OR THE U.S. DEPARTMENT OF EDUCATION.
THIS RESEARCH WAS SUPPORTED IN PART BY NSF GRANT 1633130. JOSH BEEMER WAS SUPPORTED BY AN NSF S-STEM FELLOWSHIP AND AS A GRADUATE RESEARCH ASSISTANT IN THE SDSU OFFICE OF ANALYTICS STUDIES AND INSTITUTIONAL RESEARCH AND OFFICE OF INSTRUCTIONAL TECHNOLOGY SERVICES.
THIS RESEARCH WAS SUPPORTED BY THE GOVERNMENT OF CANADA, SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA, LEARNING ANALYTICS FOR THE SOCIAL MEDIA AGE.
THIS RESEARCH HAS BEEN CO-FUNDED BY THE SEVENTH FRAMEWORK PROGRAMME OF THE EUROPEAN COMMISSION, THROUGH PROJECT ITALK2LEARN (#318051). WWW.ITALK2LEARN.EU.
THIS STUDY IS PART OF THE LEADING HOUSE DUAL-T RESEARCH PROJECT FUNDED BY THE SWISS STATE SECRETARIAT FOR EDUCATION, RESEARCH AND INNOVATION (SERI).
THE WORK WAS PARTIALLY SUPPORTED BY AN EARLY CAREER SCHEME GRANT FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION, CHINA. (PROJECT NO. HKU 27401114).
THIS RESEARCH IS SUPPORTED BY THE SPANISH MINISTRY OF SCIENCE AND TECHNOLOGY UNDER PROJECT NO. TIN2014-55252-P.
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. 1446641.
DR EDUARDO VELLOSO IS THE RECIPIENT OF AN AUSTRALIAN RESEARCH COUNCIL DISCOVERY EARLY CAREER AWARD (PROJECT NUMBER.: DE180100315) FUNDED BY THE AUSTRALIAN GOVERNMENT. NAMRATA SRIVASTAVA AND SADIA NAWAZ ARE SUPPORTED BY MELBOURNE RESEARCH SCHOLARSHIP.
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSFDRL 1252297). ANY OPINIONS AND FINDINGS EXPRESSED ARE THE AUTHORS' AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF. ASSISTMENTS HAS BENEFITED FROM MULTIPLE US DOE AND NSF GRANTS AND AWARDS. OUR THANKS TO THE UNIVERSITY OF PENNSYLVANIA RESEARCH APPRENTICESHIP COURSE, FOR THEIR FEEDBACK AND THOUGHTS ON EARLIER DRAFTS OF THIS PAPER. OUR THANKS ALSO TO VITOMIR KOVANOVIC FOR HIS INSIGHTS ON DEALING WITH MATHEMATICS EQUATIONS AND TEXTS WITHIN THE DATA.
THE WORK DESCRIBED IN THIS PAPER IS SUBSTANTIALLY SUPPORTED BY THE GRANTS FROM RESEARCH GRANTS COUNCIL OF THE HKSAR (REF.: UGC/FDS11/E06/14, UGC/FDS11/E02/15, UGC/FDS11/E03/16).
THE AUTHORS WOULD LIKE TO THANK ALL THE INSTRUCTORS WHO PARTICIPATED IN THE STUDY. THIS WORK IS A RESULT OF A COLLABORATION WITHIN A MOBILITY GRANT FOR RESEARCH FUNDED BY THE SEBAP, SOCIETAT ECONOMICA BARCELONESA D'AMICS DEL PAIS. THIS WORK HAS ALSO BEEN PARTIALLY FUNDED BY NSF DRL 1740775, "LA CAIXA FOUNDATION" (COT PROJECT, 100010434) AND FEDER, THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES MDM-2015-0502, TIN2014-53199-C3-3-R, TIN2017-85179-C3-3-R. DHL IS A SERRA HUNTER FELLOW.
WE THANK CAPES, COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR, AND CNPQ (PROCESSES #309828/2015-5 AND #311316/2018-2) FOR THE PARTIAL FINANCIAL SUPPORT TO THIS WORK.
THIS WORK HAS BEEN SUPPORTED BY GRANTS FROM BAVARIAN STATE MINISTRY OF EDUCATION AND CULTURAL AFFAIRS, SCIENCE AND THE ARTS "BAYERN DIGITAL", THE BAVARIAN VIRTUAL UNIVERSITY (VHB) AND BAVARIAN ACADEMIC CENTRE (BAYHOST). THE AUTHORS GRATEFULLY THANK TO HERIBERT POPP, DAN STOICHESCU, IOAN TACHE, ALEXANDRU VASILE, HEIDI GEZER, MIHAI DIMA AND DETLEF BONFERT FOR THE CONSTRUCTIVE SUPPORT AND ADVICES.
THIS WORK WAS SUPPORTED IN PART BY THE NATIONAL SCIENCE FOUNDATION (NSF) UNDER GRANT ICER-2022505.
THIS WORK WAS SUPPORTED BY A GRANT OF THE ROMANIAN MINISTRY OF RESEARCH AND INNOVATION, CCCDI - UEFISCDI, PROJECT NUMBER PN-III-P1-1.2-PCCDI-2017-0689/"LIB2LIFE - REVITALIZAREA BIBLIOTECILOR SI A PATRIMONIULUI CULTURAL PRIN TEHNOLOGII AVANSATE"/"REVITALIZING LIBRARIES AND CULTURAL HERITAGE THROUGH ADVANCED TECHNOLOGIES", WITHIN PNCDI III, AS WELL AS THE FP7 2008-212578 LTFLL PROJECT.
THE AUTHORS WOULD LIKE TO THANK THE BRAZILIAN FUNDING AGENCIES - FAPESP (PROCESS 2014/03389-9), CAPES (PROCAD 071/2013) AND CNPQ.
THIS STUDY IS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NO. 61703357), A GENERAL RESEARCH FUND (NO. HKU 176070) AND A THEME BASED RESEARCH SCHEME (NO. T44-707/16/N) FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG S. A. R., CHINA.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE FELLOWSHIP 310060/2018-4 OF THE NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT -CNPQ.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE FELLOWSHIP 310060/2018-4 OF THE NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT -CNPQ.
THIS WORK WAS SUPPORTED BY NWO THROUGH A RUBICON GRANT (GRANT NUMBER 446-16-003/1276). THE AUTHORS WOULD LIKE TO THANK MARTIJN VAN DER KLIS FOR HIS TECHNICAL ASSISTANCE.
THE RESEARCH HAS BEEN FUNDED THROUGH THE MACQUARIE UNIVERSITY RESEARCH EXCELLENCE SCHOLARSHIP, MACQUARIE UNIVERSITY.
WE GRATEFULLY ACKNOWLEDGE THE SUPPORT OF THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION; THE ERASMUS+ FORWARD LOOKING COOPERATION STELA PROJECT, NUMBER 562167-EPP-1-2015-BE-EPPKA3-PI-FORWARD.
THIS RESEARCH WAS SUPPORTED BY THE UNIVERSITY OF ALBERTA TEACHING AND LEARNING RESEARCH FUND (RES0035131).
THE AUTHORS GRATEFULLY ACKNOWLEDGE GRANTS FROM THE OFFICE OF NAVAL RESEARCH (N00014-18-1-2755) AND THE NATIONAL SCIENCE FOUNDATION (1724889). WE'D ALSO LIKE TO THANK SAM MALDONADO AND LISA ZHANG FOR THEIR CONTRIBUTIONS TO IMPLEMENTING OUR ONLINE INTERVENTIONS, AS WELL AS INSTRUCTORS THAT GAVE US SUPPORT AND STUDENTS WHO PARTICIPATED IN THESE STUDIES.
THIS WORK WAS SUPPORTED IN PART BY THE EPSRC CENTRE FOR DOCTORAL TRAINING IN DATA SCIENCE, FUNDED BY THE UK ENGINEERING AND PHYSICAL SCIENCES RESEARCH COUNCIL (GRANT EP/L016427/1) AND THE UNIVERSITY OF EDINBURGH.
THIS WORK WAS PARTIALLY FUNDED BY DARPA AWARD FA8750-19-2-1006.
THIS WORK WAS SUPPORTED BY JUNIOR RESEARCH PROJECT BY CZECH SCIENCE FOUNDATION GACR NO. GJ18-04150Y.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (DUE 1711348). WE THANK OSCAR WHITNEY FOR ASSISTANCE WITH INITIAL QUESTION DEVELOPMENT, TESTING AND PROCESS CODING AND BETSY MCINTOSH FOR PROCESS CODING. WE ALSO THANK DANIEL WEAVER FOR HIS ASSISTANCE PROCESSING THE DATA FROM HYPERRESEARCH INTO STRINGS FOR ANALYSIS IN WEKA.
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION IN THE CONTEXT OF CEITER (HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME, GRANT AGREEMENT NO. 669074). THE AUTHORS WOULD LIKE TO THANK THE PARTICIPANTS FOR THEIR CONTRIBUTION TO THIS STUDY.
WE WOULD LIKE TO EXPRESS OUR SPECIAL THANKS TO NORTHEAST NORMAL UNIVERSITY FOR SUPPORTING THIS RESEARCH. WE WOULD ALSO LIKE TO THANK THE SEPPO TEAM FOR PROVIDING US AN OPEN LICENSE WITH UNLIMITED USAGE DURING OUR INVESTIGATION.
THIS WORK WAS SUPPORTED BY THE SPANISH MINISTRY OF ECONONY AND COMPETITIVESS AND THE EUROPEAN REGIONAL DEVELOPMENT FUND, THROUGH THE ANNOTA PROJECT (REF.TIN2013-46036-C3-1-R). THE AUTHORS ALSO WITH TO THANK THE EDITOR AND REVOEWERS FOR THEIR VALABLE COMMENTS AND SUGGETIONS THAT HELPED US IMPROVE THE QUALITY OF THE PAPER.
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THE STUDY WAS FUNDED BY THE HONG KONG UGC (UNIVERSITY GRANTS COMMITTEE) TDG (TEACHING DEVELOPMENT GRANT) (REF: HKIED7/T&L/12-15).
THIS RESEARCH WAS SUPPORTED IN PART BY: IES R305G020018-02, IES R305G040046, IES R305A080589, AND NSF REC0241133, AND NSF IIS-0735682. OPINIONS, CONCLUSIONS, OR RECOMMENDATIONS DO NOT NECESSARILY REFLECT THE VIEWS OF THE IES OR NSF. WE ALSO THANK MATT JACOVINA, SCOTT CROSSLEY, ROD ROSCOE AND JIANMIN DAI FOR THEIR HELP WITH THE DATA COLLECTION AND DEVELOPING THE IDEAS FOUND IN THIS PAPER.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBERS 17K01074, 19H00181.
THIS WORK WAS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA [GRANT NUMBER 61807004]; CENTRAL UNIVERSITY BASIC SCIENTIFIC RESEARCH BUSINESS EXPENSES SPECIAL FUNDS [GRANT NUMBER 31101200003].
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF A RESEARCH PROJECT FOR THE PERIOD 2017-2018 FROM THE COMPUTER SCIENCE ENGINEERING SCHOOL (ETSI INFORMATICA) IN UNED; THE ENMOLABS RESEARCH PROJECT FOR THE PERIOD 2019-2020 FROM UNED; AND THE REGION OF MADRID FOR THE SUPPORT OF E-MADRID NETWORK OF EXCELLENCE (S2013-ICE2715). AUTHORS ALSO ACKNOWLEDGE THE SUPPORT OF SNOLA, OFFICIALLY RECOGNIZED THEMATIC NETWORK OF EXCELLENCE (TIN2015-71669-REDT) BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS.
THIS WORK WAS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN. [GRANT NUMBER 104-2628-H-009-001-SS3 & 105-2511-S-009-009-MY3].
WE WOULD LIKE TO THANK THE STUDENTS OF UNIVERSITY "POLITEHNICA" OF BUCHAREST WHO PARTICIPATED IN OUR EXPERIMENTS. THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE FP7 2008-212578 LTFLL PROJECT, BY THE EC H2020 PROJECT RAGE (REALISING AND APPLIED GAMING ECO-SYSTEM) HTTP://WWW.RAGEPROJECT.EU/ GRANT AGREEMENT NO 644187, BY THE SECTORIAL OPERATIONAL PROGRAMME HUMAN RESOURCES DEVELOPMENT 2007-2013 OF THE MINISTRY OF EUROPEAN FUNDS THROUGH THE FINANCIAL AGREEMENT POSDRU/159/1.5/S/134398, BY THE SENIOR FULBRIGHT SCHOLARSHIP PROGRAM, AS WELL AS BY THE NSF GRANTS 1417997 AND 1418378 TO ARIZONA STATE UNIVERSITY. MOREOVER, WE WOULD LIKE TO THANK LAURA ALLEN FOR HER SUPPORT IN CONDUCTING THE STATISTICAL ANALYSES, AND WE ARE GRATEFUL TO CECILE PERRET FOR HER HELP IN PREPARING THIS PAPER.
THIS PAPER REFERS TO DATA AND ANALYSIS FROM THE RESEARCH PROJECTS OER62/12EK AND OER09/15 EK, FUNDED BY THE EDUCATION RESEARCH FUNDING PROGRAMME, NATIONAL INSTITUTE OF EDUCATION, NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE.
THIS WORK WAS SUPPORTED BY MEXT/JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH 24300289.
NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NSFC), GRANT/AWARD NUMBER: 61977011
THIS WORK IS SUPPORTED BY THE ERDF - EUROPEAN REGIONAL DEVELOPMENT FUND THROUGH THE COMPETE PROGRAMME (OPERATIONAL PROGRAMME FOR COMPETITIVENESS) AND BY NATIONAL FUNDS THROUGH THE FCT (PORTUGUESE FOUNDATION FOR SCIENCE AND TECHNOLOGY) WITHIN PROJECT "REMINDS/UTAP-ICDT/EEI-CTP/0022/2014".
THIS RESEARCH WORK IS FUNDED UNDER THE PROJECT NUMBER IFPIP:536-830-1442.
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THE AUTHORS ACKNOWLEDGE THE FINANCIAL SUPPORT FROM THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61907038) AND THE FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES, CHINA (2020QNA241).
THIS WORK WAS SUPPORTED IN PART BY THE MINISTRY OF EDUCATION, CULTURE, SPORTS, SCIENCE AND TECHNOLOGY, JAPAN, AND BY THE JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE UNDER A GRANT-IN-AID FOR CHALLENGING EXPLORATORY RESEARCH (NO. 26560112).
THIS WORK HAS BEEN SUPPORTED BY THE "EMADRID'' PROJECT (REGIONAL GOVERNMENT OF MADRID) UNDER GRANT S2013/ICE-2715, THE "RESET'' PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT RESET TIN2014-53199-C3-1-R, THE SIMLAP PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT RTC-2014-2811-1 AND THE EUROPEAN ERASMUS+SHEILA PROJECT UNDER GRANT 562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD.
THIS STUDY WAS FUNDED BY THE PEAK DISCIPLINE CONSTRUCTION PROJECT OF EDUCATION AND THE ADVANTAGE DISCIPLINE INNOVATION PLATFORM PRINCIPAL INVESTIGATOR CONSTRUCTION PROJECT OF TEACHER EDUCATION AT EAST CHINA NORMAL UNIVERSITY. THE AUTHORS WOULD LIKE TO THANK TO ALL THE EXPERTS AND EDITORS WHO HAVE PARTICIPATED IN THE REVIEW OF THE PAPER, ESPECIALLY REVIEWER #9.
THIS WORK WAS SUPPORTED BY THE ADMINISTRATIVE DEPARTMENT OF SCIENCE, TECHNOLOGY AND INNOVATION (COLCIENCIAS), COLOMBIA.
THIS RESEARCH WAS SUPPORTED BY FUNDING FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC; GRANT ID: 430 -2016-01133), AND THE KILLAM RESEARCH FOUNDATION AWARDED TO THE SECOND AUTHOR.
THIS STUDY WAS FUNDED BY THE PROJECT OF THE TWELFTH FIVE-YEAR PLAN OF THE BEIJING EDUCATION SCIENCE, STUDY ON LEARNING ANALYTICS BASED ON LEARNING MANAGEMENT SYSTEMS (AJA13146).
AUTHORS WOULD LIKE TO THANK THE LASPAU PROGRAM FOR THE SCHOLARSHIP NO. 20080847. ALSO, THANKS TO THE UNIVERSIDAD DEL VALLE, COLOMBIA FOR CO-FUNDING THE RESEARCH OF BEATRIZ FLORIAN. THE WORK PRESENTED IS PARTLY SPONSORED BY THE A2U PROJECT (TIN2008-06862-C04-01/TSI) FUNDED BY THE SPANISH GOVERNMENT
THE AUTHORS WOULD LIKE TO THANK THE RESEARCH CENTER FOR THE HUMANITIES, DEANSHIP OF SCIENTIFIC RESEARCH AT KING SAUD UNIVERSITY, SAUDI ARABIA, FOR FUNDING THIS RESEARCH: GROUP NO. RG-1441-345.
THIS WORK IS SUPPORTED BY NSF AWARD #AST- 1547420.
THIS WORK HAS RECEIVED FUNDING FROM THE NORWEGIAN RESEARCH COUNCIL UNDER THE PROJECT FUTURE LEARNING (NUMBER: 255129/H20) AND XDESIGN (290994/F20).
THIS STUDY WAS FUNDED BY THE PROJECT OF THE TWELFTH FIVE-YEAR PLAN OF BEIJING EDUCATION SCIENCE, STUDY ON LEARNING ANALYTICS BASED ON LEARNING MANAGMENT SYTEMS (AJA13146).
THIS WORK WAS FUNDED BY AN EDUCATION AND LEARNING GRANT, UTRECHT UNIVERSITY, JANUARY 2014. WE COULD NOT HAVE WRITTEN THIS PAPER WITHOUT THE TALENT, CARE, AND INDUSTRY OF ANNE-CISKA CUIPER [2015] AND CAROLIEN DUIJZER [2015], WHOSE MASTERS THESES GENERATED MUCH OF THE DATA TREATED HEREIN.
WE WOULD LIKE TO THANK OUR COLLABORATORS TAKAKI KOMIYAMA AND DUYGU KUZUM FOR INTRODUCING US TO THIS MULTIMODAL DATASET WHICH ALLOWED US TO GENERATE THIS GENERAL FRAMEWORK OF FUSION. WE WOULD ALSO LIKE TO THANK NSF (NCS-FO 1734940) AND NIH (1R21EY029466-01) FOR FUNDING THIS RESEARCH.
THIS WORK WAS FUNDED IN PART BY THE SUTD-MIT INTERNATIONAL DESIGN CENTER AND THE U.S. DEPARTMENT OF EDUCATION UNDER THE FIRST IN THE WORLD PROGRAMME GRANT P116F150045. HOWEVER, THOSE CONTENTS DO NOT NECESSARILY REPRESENT THE POLICY OF THE U.S. DEPARTMENT OF EDUCATION, AND YOU SHOULD NOT ASSUME ENDORSEMENT BY THE FEDERAL GOVERNMENT.
THIS RESEARCH WAS FUNDED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 61907025, 61807020, 61702278), THE NATURAL SCIENCE FOUNDATION OF JIANGSU HIGHER EDUCATION INSTITUTIONS OF CHINA (GRANT NO. 19KJB520048), SIX TALENT PEAKS PROJECT IN JIANGSU PROVINCE (GRANT NO. JY-032).
THIS WORK WOULD NOT BE POSSIBLE WITHOUT THE FUNDING FROM THE MINISTRY OF SCIENCES AND INNOVATION I+D+I TIN2017-83445-P.
W.L.S.Y. ACKNOWLEDGES NATIONAL UNIVERSITY OF SINGAPORE, YONG LOO LIN SCHOOL OF MEDICINE, PRESIDENT'S GRADUATE FELLOWSHIP FOR FINANCIAL SUPPORT. C.L.D WOULD LIKE TO ACKNOWLEDGE THE FINANCIAL SUPPORT FROM THE NATIONAL MEDICAL RESEARCH COUNCIL - CLINICIAN SCIENTIST AWARD (GRANT NO. CSAINV17NOV012). THE AUTHORS WOULD ALSO LIKE TO ACKNOWLEDGE A/PROF HYUNGWON CHOI WHO HELPED WITH INSIGHTS INTO ARTIFICIAL INTELLIGENCE AND DEEP LEARNING.
THIS WORK WAS SUPPORTED BY GRANTS TO PHILIP H. WINNE FROM THE CANADA RESEARCH CHAIRS PROGRAM AND THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA SRG 410-2011-0727. THANKS TO ZAHIA MARZOUK, JOHN NESBIT, ILANA RAM, DONYA SAMADI, JASON STEWART, DERRA TRUSCOTT, AND JOVITA VYTASEK FOR THOUGHTFUL COMMENTS ON A DRAFT OF THIS ARTICLE.
THE WORK OF D. A. PADOS WAS SUPPORTED BY THE SCHMIDT FAMILY FOUNDATION, BOCA RATON, FL.
FINANCIAL SUPPORT FROM THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN, UNDER GRANT [MOST 106-3114-M-492-003] IS HIGHLY APPRECIATED.
THIS RESEARCH WAS FUNDED BY THE FONDS DE RECHERCHE DU QUEBEC -SOCIETE ET CULTURE (FRQSC) AND THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC).
MICHAEL GINDA AND KATY BORNER ARE PARTIALLY SUPPORTED BY THE BOEING COMPANY. URLS TO SPONSOR AND GRANT WEBSITES: THE BOEING COMPANY: HTTPS://WWW.BOEING.COM/. THE RESEARCH WAS ALSO SUPPORTED BY THE NATIONAL INSTITUTES OF HEALTH UNDER AWARDS, P01AG039347 [KB, MG], HTTPS://PROJECTREPORTER.NIH.GOV/PROJECT_INFO_DESCRIPTION.CFM?AID=9319110 ; U01CA198934 [KB, MG], HTTPS://PROJECTREPORTER.NIH.GOV/PROJECT_INFO_DESCRIPTION.CFM?AID=9282601 ; OT2OD026671 [KB, MG], HTTPS://PROJECTREPORTER.NIH.GOV/PROJECT_INFO_DESCRIPTION.CFM?AID=9687220 ; AND BY THE NATIONAL SCIENCE FOUNDATION UNDER AWARD AISL-1713567 [KB, MG], HTTPS://WWW.NSF.GOV/AWARDSEARCH/SHOWAWARD?AWD_ID=1713567. MICHAEL RICHEY AND MARK COUSINO ARE EMPLOYED BY THE BOEING COMPANY. THE BOEING COMPANY PROVIDED SUPPORT IN THE FORM OF SALARIES FOR AUTHORS MR AND MC, BUT DID NOT HAVE ANY ADDITIONAL ROLE IN THE STUDY DESIGN, DATA COLLECTION AND ANALYSIS, DECISION TO PUBLISH, OR PREPARATION OF THE MANUSCRIPT. THE SPECIFIC ROLES OF THESE AUTHORS ARE ARTICULATED IN THE 'AUTHOR CONTRIBUTIONS' SECTION. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR(S) AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION.
THIS WORK WAS SUPPORTED BY THE INTERNATIONAL FUND FOR AGRICULTURAL DEVELOPMENT (IFAD), THROUGH THE INNOVATION CHALLENGE PROJECT "LEVERAGING ARTIFICIAL INTELLIGENCE AND BIG DATA TO FOR IFAD 2.0".
THIS WORK HAS BEEN SUPPORTED BY THE "GEEWHEZ: MANAGEMENT AND LEISURE MIDDLEWARE FOR THEME PARKS AND ZOO" PROJECT (EUROPEAN COMMISSION UNDER GRANT FP7-SME-2011-286533), THE EEE PROJECT (SPANISH MINISTRY OF SCIENCE AND INNOVATION, "PLAN NACIONAL DE I+D+I TIN2011-28308-C03-1), THE REMEDISS PROJECT (SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER GRANT IPT-2012-0882-430000) AND THE EMADRID PROJECT (REGIONAL GOVERNMENT OF MADRID UNDER GRANTS S2009/TIC-1650 AND S2013/ICE-2715).
THIS WORK WAS PARTIALLY SUPPORTED BY THE HBOI FOUNDATION RESEARCH EXCELLENCE FUND.
THANKS ARE GIVEN TO ZAK MERRIGAN, BRIAN KALVODA, BRANDON STOICK, AND BONNIE JAN FOR AIDING IN COLLECTION OF THE FAKE NEWS DATASET. THANKS ARE ALSO GIVEN TO TERRY TRAYLOR FOR HIS INPUT AND FEEDBACK ON THIS WORK. DATA COLLECTION WAS PARTIALLY SUPPORTED BY THE U.S. NATIONAL SCIENCE FOUNDATION (NSF AWARD #1757659). FACILITIES AND SOME EQUIPMENT USED FOR THIS WORK WERE PROVIDED BY THE NORTH DAKOTA STATE UNIVERSITY INSTITUTE FOR CYBER SECURITY EDUCATION AND RESEARCH.
THIS WORK WAS SUPPORTED IN PART BY AIR FORCE OFFICE OF SCIENTIFIC RESEARCH UNDER GRANT NUMBER 18COR029. APPROVED FOR PUBLIC RELEASE BY WPAFB PA ON 18 NOV 2018, CASE NUMBER 88ABW-2018-5789.
THIS MATERIAL IS BASED UPON THE WORK SUPPORTED BY THE AIR FORCE OFFICE OF SCIENTIFIC RESEARCH (AFOSR), THE DDDAS PROGRAM, UNDER GRANT NO. FA9550-16-1-0386. THE WORK OF SEN WAS PERFORMED AT THE OAK RIDGE NATIONAL LABORATORY, MANAGED BY UT-BATTELLE, LLC, FOR THE U.S. DEPARTMENT OF ENERGY, UNDER CONTRACT DE-AC05-00OR22725. THE UNITED STATES GOVERNMENT RETAINS AND THE PUBLISHER, BY ACCEPTING THE ARTICLE FOR PUBLICATION, ACKNOWLEDGES THAT THE UNITED STATES GOVERNMENT RETAINS A NONEXCLUSIVE, PAID-UP, IRREVOCABLE, WORLD-WIDE LICENSE TO PUBLISH OR REPRODUCE THE PUBLISHED FORM OF THIS MANUSCRIPT, OR ALLOW OTHERS TO DO SO, FOR UNITED STATES GOVERNMENT PURPOSES. THE DEPARTMENT OF ENERGY WILL PROVIDE PUBLIC ACCESS TO THESE RESULTS OF FEDERALLY SPONSORED RESEARCH IN ACCORDANCE WITH THE DOE PUBLIC ACCESS PLAN (HTTP://ENERGY.GOV/DOWNLOADS/DOE-PUBLIC-ACCESS-PLAN).
THE RESEARCH FOR THIS ARTICLE WAS SUPPORTED BY A GRANT FROM THE ECONOMIC AND SOCIAL RESEARCH COUNCIL [GRANT NUMBER ES/L001160/1]. HTTPS://CODEACTSINEDUCATION.WORDPRESS.COM/.
THIS RESEARCH HAS BEEN SUPPORTED BY SPECIFIC RESEARCH PROJECT OF THE UNIVERSITY OF HRADEC KRALOVE, BOTH FACULTY OF SCIENCE AND FACULTY OF EDUCATION IN 2016.
THIS WORK WAS SUPPORTED BY THE US OFFICE OF NAVAL RESEARCH UNDER GRANTS N00014-18-1-2460 AND N00014-18-1-2469.
THIS RESEARCH IS SUPPORTED IN PART BY THE AIR FORCE OFFICE OF SCIENTIFIC RESEARCH, UNDER GRANT 18RICOR029, AND THE NATIONAL SCIENCE FOUNDATION, UNDER GRANT 1808582.
THIS STUDY WAS FUNDED BY THE ECONOMIC INFORMATION OFFICE TAT AND IT IS AN ESSENTIAL PART OF THE YOUNG BUSINESS GENERATIONS-PROJECT, IN WHICH THE BUSINESS COURSES AND THE PEDAGOGICAL SCRIPT HAVE BEEN DEVELOPED AND TESTED. THE PEDAGOGICAL FRAMEWORK FOR THE PROJECT HAS BEEN PREPARED IN COLLABORATION WITH THE RESEARCH GROUP OF EDUCATIONAL PSYCHOLOGY AT THE UNIVERSITY OF HELSINKI AS A PART OF A PROJECT CALLED PHENOMENAL TEACHER EDUCATION (WBS 6605844).
THE RESEARCH HAS BEEN FUNDED THROUGH THE (UNIVERSITY) UNIVERSITY RESEARCH EXCELLENCE SCHOLARSHIP.
THE INITIAL DESIGN AND DEVELOPMENT OF OUR JOURNEY WAS SUPPORTED BY A HIGHER EDUCATION INNOVATION FUND STIMULATING KNOWLEDGE EXCHANGE GRANT. WE WOULD LIKE TO THANK ALL THE STUDENTS, STAFF AND ORGANISATIONS WHO PARTICIPATED IN THE DESIGN PROCESS. THE PROJECT HAS BENEFITED FROM INSPIRATION AND INPUT FROM DIVERSITY AND ABILITY (DNA), GLEN DARBY, THE OPEN UNIVERSITY STUDENTS ASSOCIATION (OUSA) AND THE OUSA DISABLED STUDENTS GROUP.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THAT THE DESCRIBED INITIATIVE IS A JOINT EFFORT OF MANY PARTICIPANTS OF WAVES, WHICH IS CO-FUNDED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION (562463-EPP-1-2015-1-UK-EPPKA2-KA). IN PARTICULAR, THE AUTHORS WOULD LIKE TO EXPRESS THEIR GRATITUDE TO MARTIN ADLER, PANAGIOTIS ANTONIOU, CHARA BALASUBRAMANIAM, PANAGIOTIS BAMIDIS, LINDSAY GERMAIN, INGA HEGE, TRUPTI JIVRAM, SUPRIYA KRISHNAN, SAM MCINERNEY, TERRY POULTON, DANIEL SCHWARZ, AURORA SESE, DIMITRIS SPACHOS, NATALIA STATHAKAROU, STEPHEN TAYLOR AND DAVID TOPPS.
THIS ARTICLE IS DEVELOPED FROM WORK WITHIN THE ESRC FUNDED SEMINAR SERIES CODE ACTS IN EDUCATION HTTP://CODEACTSINEDUCATION.WORDPRESS.COM/ABOUT/ (GRANT REFERENCE: ES/L001160/1).
THE DEVELOPMENT OF THIS METHODOLOGY WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF #0835854), THE LEADING HOUSE TECHNOLOGIES FOR VOCATION EDUCATION, FUNDED BY THE SWISS STATE SECRETARIAT FOR EDUCATION, RESEARCH AND INNOVATION, AND THE HARVARD SCHOOL OF EDUCATION'S DEAN VENTURE FUND.
THIS WORK IS PART OF A PROJECT TO DEVELOP A MODEL OF SMART LEARNING ENVIRONMENTS AND THUS DESIGN DIDACTIC PROPOSALS TO WORK GENDER EQUALITY IN PRIMARY EDUCATION. THE MINISTRY OF SCIENCE, INNOVATION AND UNIVERSITIES (SPAIN) FUND THIS PROJECT THROUGH THE GRANT OF THE UNIVERSITY TEACHER TRAINING PROGRAM (FPU18/02338).
FUNDING FOR THIS PROJECT WAS GENEROUSLY PROVIDED BY THE PHD INNOVATION PROGRAM AT THE THAYER SCHOOL OF ENGINEERING AT DARTMOUTH.
THIS WORK WAS PARTIALLY SUPPORTED BY FUNDS FROM THE SPANISH MINISTRY FOR ECONOMY AND COMPETITIVENESS (MINECO) AND THE EUROPEAN UNION (FEDER FUNDS) UNDER GRANTS TIN2013-46181-C2-1-R AND TIN2015-69175-C4-3-R, AND SGR 2014 1034 (ALBCOM) OF THE CATALAN GOVERNMENT.
THIS WORK HAS BEEN DONE IN THE CONTEXT OF THE INDIVIDUAL GRANT "SUBPROGRAMA DE MOVILIDAD DEL PROGRAMA ESTATAL DE PROMOCION DEL TALENTO Y SU EMPLEABILIDAD, EN EL MARCO DEL PLAN ESTATAL DE INVESTIGACION CIENTIFICA Y TECNICA Y DE INNOVACION"' (GRANT PRX17/00613) SUPPORTED BY THE SPANISH MINISTRY FOR EDUCATION, CULTURE, AND SPORTS, THE PROJECTS "COLLABORATIVE DESIGN FOR THE PROMOTION OF THE WELL-BEING IN INCLUSIVE SMART CITIES (DCOLBICI3)" (GRANT TIN2017-88327-R) SUPPORTED BY THE SPANISH MINISTRY FOR ECONOMY AND COMPETITIVENESS, "MANAGE YOUR TIME -LEARNING METHOD OF TIME MANAGEMENT AND ORGANIZATIONAL AUTONOMY IN MULTIPLE PROJECTS (GESTIE)" (GRANT 258 -2018-19) SUPPORTED BY THE UNIVERSIDAD COMPLUTENSE DE MADRID, AND THE "PROGRAMA DE CREACION Y CONSOLIDACION DE GRUPOS DE INVESTIGACION"' (UCM-BSCH GR35/10-A).
THIS RESEARCH IS PARTIALLY FUNDED BY PROJECT TIN2016-80515-R "SERVICE PLATFORM BASED ON MULTIMODAL ANALYSIS FOR SELF-REGULATED LEARNING" FROM THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS.
THE AUTHOR'S (JACQUELINE WONG) RESEARCH IS SUPPORTED BY THE LEIDEN-DELFT-ERASMUS CENTRE FOR EDUCATION AND LEARNING. THE AUTHORS WOULD LIKE TO THANK PROF. DR. JEROEN JANSZ, DR. MIJKE SLOT, DRS. KRIS STABEL, AND THE COURSERA PARTNER SUPPORT TEAM FOR SUPPORTING THE IMPLEMENTATION OF THE STUDY. THE AUTHORS EXPRESS GRATITUDE TO THE REVIEWERS WHOSE INSIGHTFUL COMMENTS AND SUGGESTIONS HELPED IMPROVE THIS MANUSCRIPT.
THIS WORK WAS SUPPORTED BY THE VELUX FOUNDATION UNDER GRANT NO. 00017032.
THE OPEN UNIVERSITY'S OF ISRAEL RESEARCH AUTHORITY GRANT #101464 SUPPORTED THIS WORK.
THIS WORK WAS SUPPORTED BY FONDECYT (11150231), UNIVERSITY OF COSTA RICA (UCR), MOOC-MAKER (561533-EPP-1-2015-1-ESEPPKA2-CBHE-JP, LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), CONICYT DOCTORADO NACIONAL 2017/21170467, CONICYT DOCTORADO NACIONAL 2016/21160081.
THIS WORK IS CO-FUNDED BY THE EUROPEAN UNION UNDER THE PRACTICE-BASED EXPERIENTIAL LEARNING ANALYTICS RESEARCH AND SUPPORT (PELARS) STREP PROJECT OF THE FP7-ICT-2013-11 OBJECTIVE ICT-2013.8.2 TECHNOLOGY-ENHANCED LEARNING #619738. SEE HTTP://WWW.PELARS-PROJECT.EU/
THIS RESEARCH WAS SUPPORTED BY GRANTS NSF #DRL-1031398, NSF #SBE-0836012, AND GRANT #OPP1048577 FROM THE BILL AND MELINDA GATES FOUNDATION.
THE WORK DESCRIBED IN THIS CONTRIBUTION IS SUPPORTED BY THE BMBF (CONTRACT NUMBERS 01PL11067, 01PL16067) WHICH IS GRATEFULLY ACKNOWLEDGED.
THIS RESEARCH IS SUPPORTED BY THE PROJECT "LEXUE 100, SMART EDUCATION" OF BEIJING LEXUE 100 ONLINE EDUCATION CO., LTD. THE AUTHORS THANK ALSO ALL THE TEACHERS AND STUDENTS WHO HAVE PARTICIPATED IN THE PROGRAM, ESPECIALLY THE TEACHERS AND STUDENTS IN THE EXPERIMENT CLASS.
THE RESEARCH PRESENTED HERE WAS SUPPORTED BY THE BILL AND MELINDA GATES FOUNDATION. WE ALSO THANK CHRIS DEDE AND MICHAEL SAO PEDRO FOR HELPFUL SUPPORT AND SUGGESTIONS.
THIS WORK WAS SUPPORTED IN PART BY THE USDA-NIFA GRANT 2019-67022-29204 AND AQUACULTURE SPECIALTY LICENSE PLATE FUNDS GRANTED THROUGH THE HARBOR BRANCH OCEANOGRAPHIC INSTITUTE FOUNDATION. THE AUTHORS APPRECIATE THE HELP OF DENNIS ESTRADA, ALEX SCHAFF, RICHARD BAPTISTE, AND RICHARD MULROY DURING THE SENSOR DEVELOPMENT AND DEPLOYMENT TESTS.
THIS WORK WAS SUPPORTED BY INSTITUTE FOR INFORMATION & COMMUNICATIONS TECHNOLOGY PLANNING & EVALUATION (IITP) GRANT FUNDED BY THE KOREA GOVERNMENT (MSIT) (NO. 2020-0-00368, A NEURAL-SYMBOLIC MODEL FOR KNOWLEDGE ACQUISITION AND INFERENCE TECHNIQUES).
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP16K16331 AND JP16H03082.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS WORK WAS SUPPORTED BY THE UNIVERSITY OF MICHIGAN LEARNING ANALYTICS TASK FORCE AND THE OFFICE OF DIGITAL EDUCATION & INNOVATION. A VERSION OF THIS PAPER WAS PRESENTED AT THE 2013 GAMES+LEARNING+SOCIETY.
THIS WORK WAS SUPPORTED IN PART BY THE US DEPARTMENT OF AGRICULTURE, NATIONAL INSTITUTE OF FOOD AND AGRICULTURE THROUGH THE NATIONAL ROBOTICS INITIATIVE 2.0 (NRI-2.0), UNDER GRANT 2019-67022-29204
THIS WORK IS FUNDED BY THE TCU SERC PROGRAM. WE WOULD LIKE TO THANK TCU COLLEGE OF NURSING & HEALTH SCIENCES FOR MAKING THE SIMULATION CENTER AVAILABLE FOR US TO CONDUCT THE TESTINGS AND TCU IT DEPARTMENT FOR HELPING SETTING UP THE BUTTONS.
THE WORK REPORTED IN THIS MANUSCRIPT WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER THE CAREER AWARD NUMBER 1652203. THE CONTENT IS SOLELY THE RESPONSIBILITY OF THE AUTHORS AND DOES NOT NECESSARILY REPRESENT THE OFFICIAL VIEWS OF THE NATIONAL SCIENCE FOUNDATION.
THIS RESEARCH IS FUNDED BY AN ACADEMIC GRANT FROM THE NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY (AWARD NO.: HM04761912014, PROJECT TITLE: TARGET DETECTION/TRACKING AND ACTIVITY RECOGNITION FROM MULTIMODAL DATA). APPROVED FOR PUBLIC RELEASE, 20-526.
THIS WORK WAS FUNDED BY SOM RESEARCH GROUP AND THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P "ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION".
RESEARCH REPORTED IN THIS PUBLICATION WAS SUPPORTED BY THE EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT OF THE NATIONAL INSTITUTES OF HEALTH UNDER AWARD NUMBER R01HD092239, WHILE THE DATA WAS COLLECTED UNDER AWARD NUMBER R01HD074819. THE CONTENT IS SOLELY THE RESPONSIBILITY OF THE AUTHORS AND DOES NOT NECESSARILY REPRESENT THE OFFICIAL VIEWS OF THE NATIONAL INSTITUTES OF HEALTH.
SPONSORED BY THE KEY PROGRAM OF EDUCATION DEPARTMENT IN SICHUAN PROVINCE"EXPLORING COLLEGE ENGLISH TEACHING AND LEARNING MODE BASED ON LEARNING ANALYTICS IN BIG DATA ERA" (18SA0034)
THIS WORK WAS SUPPORTED IN PART BY THE OFFICE OF NAVAL RESEARCH GRANTS N00014-18-1-2460 AND N00014-18-1-2469, NATIONAL SCIENCE FOUNDATION REU PROGRAMS 1950123, HBOI FOUNDATION SUMMER INTERNSHIP PROGRAM, AND HBOI FOUNDATION RESEARCH EXCELLENCE FUND. THE AUTHORS APPRECIATE THE HELP OF DENNIS ESTRADA AND LUCAS LOPES DURING THE EXPERIMENTS.
APPROVED FOR PUBLIC RELEASE BY USAF 88ABW, CASE NUMBER: 88ABW-2020-2913: DISTRIBUTION UNLIMITED. THIS WORK WAS SUPPORTED BY THE AFRL SCHOLARS INTERNSHIP PROGRAM AND PARTIALLY SUPPORTED BY AFOSR GRANT NUMBER 18RICOR029.
THIS WORK IS SUPPORTED BY THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS", CO-FUNDED BY THE EUROPEAN COMMISSION WITHIN THE ERASMUS+ KNOWLEDGE ALLIANCES PROGRAM (REF. 588438-EPP-1-2017-1-EL-EPPKA2-KA).
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER CYBERLEARNING GRANT IIS-1124535, THE AIR FORCE OFFICE OF SCIENTIFIC RESEARCH UNDER GRANT FA9550-09-1-0432, THE GOOGLE FACULTY RESEARCH AWARD PROGRAM.
THE FIELD TESTING WAS PARTIALLY SUPPORTED BY US DEPARTMENT OF ENERGY CONTRACT DEEE0007828, NAVAL SURFACE WARFARE CENTER CARDEROCK CONTRACT: N0016720P0118, AND PROJECT A000476667 UNDER THE L3HARRIS-FAU MASTER RESEARCH AGREEMENT. THE AUTHORS ALSO WANT TO THANK MS. KATHY RUSS FOR PROVIDING THE ORIGINAL AUV 3DSMAX MODELS.
THIS RESEARCH WAS FUNDED BY LANL LDRD GRANT 20190020DR, AND RESOURCES WERE PROVIDED BY THE LOS ALAMOS NATIONAL LABORATORY INSTITUTIONAL COMPUTING PROGRAM, SUPPORTED BY THE U.S. DEPARTMENT OF ENERGY NATIONAL NUCLEAR SECURITY ADMINISTRATION UNDER CONTRACT NO. 89233218CNA000001.
THE FIELD TESTING WAS SUPPORTED BY US DEPARTMENT OF ENERGY CONTRACT DEEE0007828. THIS PROJECT WAS PARTIALLY FUNDED BY NAVAL SURFACE WARFARE CENTER CARDEROCK CONTRACT: N0016720P0118 AND PROJECT A000476667 UNDER THE L3HARRISFAU MASTER RESEARCH AGREEMENT.
THE WORK OF JY WAS PARTIALLY SUPPORTED BY THE U.S. AIR FORCE RESEARCH LAB SUMMER FACULTY FELLOWSHIP PROGRAM.
THIS WORK HAS BEEN SUPPORTED BY THE PROJECT COLMOOC "INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS", CO-FUNDED BY THE EUROPEAN COMMISSION WITHIN THE ERASMUS + KNOWLEDGE ALLIANCES PROGRAM (REF. 588438-EPP-1-2017-1-EL-EPPKA2-KA).
THIS RESEARCH WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) (DRL 1252297 AND DRL-1535340) AND THE PENN CENTER FOR LEARNING ANALYTICS. ANY OPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS ARTICLE ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF. WE ALSO WOULD LIKE TO THANK NEIL AND CRISTINA HEFFERNAN AND THE REST OF THE ASSISTMENTS TEAM FOR PROVIDING US WITH THE DATA ANALYZED IN THIS ARTICLE.
THIS WORK WAS SUPPORTED BY JOHN TEMPLETON FOUNDATION; UNIVERSITY OF CHICAGO.
THIS RESEARCH WAS SUPPORTED BY THE CENTRE OF DISTRIBUTED AND HIGH PERFORMANCE COMPUTING OF THE UNIVERSITY OF SYDNEY, AND WAS PARTIALLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P "ICT-FLAG".
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE EUROPEAN UNION (IN THE CONTEXT OF CEITER AND NEXT-LAB, GRANT AGREEMENTS NO. 669074 AND 731685).
THIS WORK WAS SUPPORTED IN PART BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE PROJECT SEQUOIA-UA UNDER GRANT TIN2015-63502-C3-3-R, THE PROJECT RESCATA UNDER GRANT TIN2015-65100-R, AND THE PROJECT PROMETEO/2018/089, AND IN PART BY THE SPANISH RESEARCH AGENCY (AEI) AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER) THROUGH THE PROJECT CLOUDDRIVER4INDUSTRY UNDER GRANT TIN2017-89266-R.
PART OF THIS RESEARCH WAS SUPPORTED BY THE UNIVERSITY OF PITTSBURGH THROUGH A JOINT PROJECT OF THE LEARNING RESEARCH AND DEVELOPMENT CENTER AND THE UNIVERSITY CENTER FOR TEACHING AND LEARNING. THE FIRST AUTHOR HELD ONTARIO GRADUATE SCHOLARSHIPS, A W. GARFIELD WESTON FELLOWSHIP, AND WALTER C. SUMNER MEMORIAL FELLOWSHIPS DURING DATA COLLECTION. DURING THE ANALYSIS STAGE, THIS WORK RECEIVED FINANCIAL SUPPORT FROM THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA.
THIS PAPER WAS DEVELOPED THROUGH WORK WITHIN THE UNIVERSITY OF CANBERRA'S SAFFIRE PROJECT FUNDED BY THE AUSTRALIAN GOVERNMENT. WE THANK OUR COLLEAGUES AT THE UNIVERSITY OF CANBERRA WHO PARTICIPATED IN OUR DESIGN JAMS.
THIS WORK IS PARTIALLY SUPPORTED BY L3HARRIS CO. THROUGH THE MUTUAL RESEARCH AGREEMENT, AND THE HARBOR BRANCH FOUNDATION FACULTY EXCELLENT FUND. THE AUTHORS WANT TO EXPRESS OUR GRATITUDE TO EVERYONE AT L3HARRIS FOR THEIR TIME AND ASSISTANCE ON THIS PROJECT.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FUND FOR DISTINGUISHED YOUNG SCHOLARS (GRANT NUMBER 61825105). MR. FU AND DR. XING WOULD LIKE TO ACKNOWLEDGE THE SUPPORT OF THE CHINA SCHOLARSHIP COUNCIL.
THE AUTHOR XUEGANG WU THANKS FOR THE FINANCIAL SUPPORT FROM CHINA SCHOLARSHIP COUNCIL (NO.201908500066) AND ALSO THANKS THE TEAM LED BY DR. ZHIJUN QIAO AND THE GOOD STUDYING ENVIRONMENT OF THE UNIVERSITY OF TEXAS RIO GRANDE VALLEY.
THIS RESEARCH WAS PARTIALLY FUNDED BY THE SPANISH GOVERNMENT MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGHOUT THE DEFINES PROJECT GRANT NUMBER [TIN2016-80172-R] AND BY THE SPANISH GOVERNMENT MINISTRY OF ECONOMY AND COMPETITIVENESS AND EU CHIST-ERA AGREEMENT THROUGHOUT THE PROVIDEDH PROJECT GRANT NUMBER [PCIN-2017-064]. THIS RESEARCH WAS SUPPORTED BY THE SPANISH MINISTRY OF EDUCATION, CULTURE AND SPORT UNDER A FPU FELLOWSHIP (FPU17/03276).
OPEN ACCESS FUNDING PROVIDED BY UNIVERSITY OF GOTHENBURG. THE AUTHORS WOULD LIKE TO THANK RAJIV JHANGIANI FOR HIS SUPPORT AND ASSISTANCE WITH THE SELECTION OF THE AUTHORS AND THE FOUR TEXT BOOK AUTHORS THAT KINDLY VOLUNTEERED TO BE INTERVIEWED. WE ALSO WANT TO THANK THE ANONYMOUS REVIEWERS FOR THEIR CONSTRUCTIVE COMMENTS THAT GREATLY CONTRIBUTED TO IMPROVING THE FINAL VERSION OF THE MANUSCRIPT.
THIS WORK WAS SUPPORTED BY SEAGATE TECHNOLOGY LLC, INC., SHAKOPEE, MN AND RESEARCH GRANTS FROM NSF FUNDED CENTER FOR ACCELERATED REAL TIME ANALYTICS (CARTA) (FORMERLY KNOWN AS CENTER FOR HYBRID MULTICORE PRODUCTIVITY RESEARCH (CHMPR)). THE DATA USED FOR THE PERFORMANCE CHARACTERIZATION OF ACTIVE STORAGE WERE MODIS SURFACE REFLECTANCE (MOD09) ACQUIRED FROM THE LEVEL-1 AND ATMOSPHERIC ARCHIVE AND DISTRIBUTION SYSTEM (LAADS) DISTRIBUTION ACTIVE ARCHIVE CENTER (DAAC).
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY USDA-NIFA GRANT 2019-67022-29204, NSF REU PROGRAM 1659484, HBOI FOUNDATION SUMMER INTERNSHIP, HBOI FOUNDATION RESEARCH EXCELLENT FUND AND SAPIENZA UNIVERSIT~A DI ROMA, AREA PER L'INTERNAZIONALIZZAZIONE.
THIS WORK HAS BEEN PERFORMED UNDER THE H2020 786629 PROJECT MAGNETO, WHICH HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 PROGRAMME. THIS PAPER REFLECTS ONLY THE AUTHORS' VIEW, AND THE EUROPEAN COMMISSION IS NOT LIABLE TO ANY USE THAT MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS WORK WAS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA, 61701401.
THIS WORK WAS PARTIALLY SUPPORTED BY FAPERJ (THROUGH GRANT E-26-102.256/2013 - BBP/BURSARY ASSOCIA: EXPLORING A SEMANTIC AND SOCIAL LEARNING-TEACHING ENVIRONMENT) AND CNPQ (PROJECT: 312039/2015-8 -DT/BURSARY INTEGRATING PEDAGOGICAL PRACTICES AND METHODS AND TOOLS OF EDUCATIONAL DATA ANALYSIS).
THIS RESEARCH WAS FUNDED BY THE CONSEJERIA DE EDUCACION DE LA JUNTA DE CASTILLA Y LEON (SPAIN) (DEPARTMENT OF EDUCATION OF THE JUNTA DE CASTILLA Y LEON), GRANT NUMBER BU032G19, AND GRANTS FROM THE UNIVERSITY OF BURGOS FOR THE DISSEMINATION AND THE IMPROVEMENT OF TEACHING INNOVATION EXPERIENCES OF THE VICE-RECTORATE OF TEACHING AND RESEARCH STAFF, THE VICE-RECTORATE FOR RESEARCH AND KNOWLEDGE TRANSFER, 2020, AND THE DEPARTAMENTO DE CIENCIAS DE LA SALUD THE UNIVERSITY OF BURGOS (SPAIN).
THE AUTHORS DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS WORK WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NOS. 62077017, 61977030, 61937001, 62007012) AND THE FINANCIALLY SUPPORTED BY SELF-DETERMINED RESEARCH FUNDS OF CCNU FROM THE COLLEGES' BASIC RESEARCH AND OPERATION OF MOE FUNDAMENTAL RESEARCH FUNDS OF THE CENTRAL UNIVERSITIES (GRANT NOS. CCNU20TS032, 30106200548, CCNU19ZN012).
THE AUTHORS' (JACQUELINE WONG,DAN DAVIS AND TIM VAN DER ZEE) RESEARCH IS SUPPORTED BY THE LEIDEN-DELFT-ERASMUS CENTRE FOR EDUCATION AND LEARNING.
THIS WORK WAS CARRIED OUT DURING THE TENURE OF AN ERCIM "ALAIN BENSOUSSAN" FELLOWSHIP PROGRAMME. THIS STUDY WAS FUNDED BY THE RESEARCH COUNCIL OF NORWAY, PROJECT FUTURE LEARNING (GRANT NUMBER 255129/H20). THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT NO 704110.
THIS WORK WAS SUPPORTED BY THE AUSTRALIAN RESEARCH COUNCIL (GRANT NUMBER DP150104163).
THE RESEARCH REPORTED HERE WAS SUPPORTED IN PART BY THE INSTITUTE OF EDUCATION SCIENCES, U.S. DEPARTMENT OF EDUCATION THROUGH GRANT #R305B150008 TO CARNEGIE MELLON UNIVERSITY. WE WOULD LIKE TO THANK CARNEGIE LEARNING, INC., FOR PROVIDING THE COGNITIVE TUTOR DATA SUPPORTING THIS ANALYSIS. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT REPRESENT THE VIEWS OF THE INSTITUTE OF THE U.S. DEPARTMENT OF EDUCATION.
FUNDED AND SUPPORTED BY THE DEPARTMENT OF EDUCATION, DEPARTMENT OF TRANSPORTATION - TRANSPORTATION RESEARCH BOARD (TRB), NATIONAL AERONAUTICS AND SPACE ADMINISTRATION (NASA) AND UMES DELMARVA WIND ENERGY RESEARCH FACILITY
WE GRATEFULLY ACKNOWLEDGE THE BLENDED LEARNING STIMULATION PROGRAM EDUCATE-IT OF UTRECHT UNIVERSITY FOR ITS SUPPORT IN THE APPLICATION OF INTERACTIVE VIDEOS. WE THANK RIANNE BOUWMEESTER FOR HER COMMENTS ON THE MANUSCRIPT, INEKE LAM FOR HER CONTRIBUTION TO THE EVALUATION SURVEY, AND KARIN VAN LOOK FOR THE FOCUS GROUP INTERVIEWS. WE THANK TEACHERS DR. FONS CREMERS, DR. LAURENS VANMEETEREN, AND DR. RON HABETS AND ALL STUDENTS FOR THEIR PARTICIPATION IN THIS STUDY.
THIS WORK WAS SUPPORTED BY THE RESEARCH SEED FUND (102367) AND DIRECT GRANT (101138) AT LINGNAN UNIVERSITY, HONG KONG, AND THE INTERNAL RESEARCH FUND AT THE EDUCATION UNIVERSITY OF HONG KONG (RG1/19-20R), HONG KONG.
THE WORK WAS SUPPOSED BY BEIJING EDUCATION SCIENCE "TWELFTH FIVE YEARS PLAN" FUND "RESEARCH ON THE CONSTRUCTION OF VIRTUAL LEARNING COMMUNITY BASED ON THE EFFECT OF KNOWLEDGE CONSTRUCTION".
THIS RESEARCH SUPPORTED IN PART BY NSF GRANT [1633130].
THIS RESEARCH WAS FUNDED BY THE UNIVERSITY COMPLUTENSE DE MADRID THROUGH ITS 2019-2020 PROGRAM OF INNOVATION EDUCATIONAL AND TEACHING IMPROVEMENT PROJECTS AND ITS POCOSIN SPECIFIC RESEARCH GRANT.
THIS RESEARCH WAS SUPPORTED IN PART BY NSF AWARDS NO. 1926250, 1934464, AND 1922658.
THIS WORK WAS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE PROJECT FUTURE LEARNING (255129/H20). (CORRESPONDING AUTHOR: KATERINA MANGAROSKA.)
THIS WORK WAS PARTIALLY SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP16H02923.
THIS WORK WAS SUPPORTED BY GRANTS FROM THE NIH (NS088475, NS106899 TO A.R.F.), THE US DEPARTMENT OF VETERANS AFFAIRS (1I01RX002245-01 TO A.R.F.), WINGS FOR LIFE (WFL-US-006/14 TO A.R.F.) AND THE CRAIG H. NEILSEN FOUNDATION.
THIS WORK WAS SUPPORTED IN PART BY THE HANS-BOCKLER STIFTUNG.
THE AUTHORS ACKNOWLEDGE THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA FOR FUNDING THEIR RESEARCH (GRANT #895-2011-1006) AND MAKING THIS PAPER POSSIBLE.
THIS WORK HAS BEEN SUPPORTED BY GRANTS VEGA 1/0937/14 ADVANCED METHODS FOR NONLINEAR MODELING AND CONTROL OF MECHATRONIC SYSTEMS AND APVV-0343-12 COMPUTER AIDED ROBUST NONLINEAR CONTROL DESIGN.
THE FIRST AUTHOR WAS SUPPORTED BY THE MEXICAN COUNCIL FOR SCIENCE AND TECHNOLOGY (CONACYT) UNDER SCHOLARSHIP 264829. THE SECOND AUTHOR WOULD LIKE TO ACKNOWLEDGE THE PARTIAL SUPPORT OF NSF GRANT NO. 1841752. WE THANK CLOUDLAB FOR PROVIDING COMPUTING RESOURCES TO CONDUCT THE EXPERIMENTS.
THIS RESEARCH HAS RECEIVED FUNDING FROM THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 769661, SAAM PROJECT AT THE UNIVERSITY OF EDINBURGH, UK, AND ADAPT 13/RC/2106 PROJECT (HTTP://WWW.ADAPTCENTRE.IE/) AT TRINITY COLLEGE DUBLIN, THE UNIVERSITY OF DUBLIN, IRELAND. MK WAS FUNDED BY THE H2020 MARIE SKLODOWSKA-CURIE GRANT AGREEMENT NO. 701621.
THIS RESEARCH WAS SUPPORTED IN PART BY NSF CAREER GRANT 1652257, NSF GRANT 1934979, ONR AWARD N00014-18-1-2364 AND THE LIFELONG LEARNING MACHINES PROGRAM FROM DARPA/MTO.
THIS PROJECT WAS FUNDED BY A SCHOLARSHIP OF TEACHING AND LEARNING GRANT FROM UNIVERSITY OF NORTH CAROLINA CHARLOTTE.
WE THANK THE INSTRUCTURE CANVAS AND PARTICULARLY JARED STEIN FOR PROVIDING THE DATA AND SUPPORT FOR THIS STUDY.
THIS PAPER IS SUPPORTED BY FACULTY OF INFORMATION TECHNOLOGY, ANDALAS UNIVERSITY FOR PUBLICATION.
THIS RESEARCH WAS SUPPORTED BY A GRANT TO THE FIRST AUTHOR FROM MINISTRY OF EDUCATION OF THE PEOPLE'S REPUBLIC OF CHINA (GRANT NO. 18YJC880107). WE THANK THE STUDENTS FOR THEIR PARTICIPATION.
THIS WORK IS CARRIED OUT UNDER THE IOT-ENABLED SMART AND CONNECTED COMMUNITIES (SMARTCU). THE RESEARCH IS FULLY SPONSORED BY COVENANT UNIVERSITY CENTRE FOR RESEARCH, INNOVATION AND DISCOVERY (CUCRID), COVENANT UNIVERSITY, OTA, NIGERIA. WE ALSO ACKNOWLEDGE THE PHYSICAL PLANNING AND DEVELOPMENT UNIT OF COVENANT UNIVERSITY, OTA, NIGERIA, FOR THEIR ASSISTANCE AND SUPPORTS IN THE COURSE OF THIS RESEARCH.
THIS WORK WAS SUPPORTED BY THE UNIVERSITY OF MICHIGAN OFFICE OF THE PROVOST, THE CENTER FOR RESEARCH ON LEARNING AND TEACHING, AND THE PROVOST'S LEARNING ANALYTICS TASK FORCE [THE 2013-14 INVESTIGATING STUDENT LEARNING (ISL) P];
THIS WORK WAS SUPPORTED BY THE MOE TEACHING PRACTICE RESEARCH PROGRAM [GRANT NUMBER PGE1080215].
THIS WORK WAS FUNDED BY THE ELEARN CENTER AT UNIVERSITAT OBERTA DE CATALUNYA THROUGH THE PROJECT NEW GOALS 2018NG001 "LIS: LEARNING INTELLIGENT SYSTEM".
THIS RESEARCH WAS CARRIED OUT BY THE COVENANT UNIVERSITY DATA ANALYTICS CLUSTER (CUDAC). THE AUTHORS OF THIS WORK WISH TO ACKNOWLEDGE THE CENTER OF SYSTEMS AND INFORMATION SERVICES (CSIS) FOR HELPING WITH THE DATA PREPROCESSING AND THE COVENANT UNIVERSITY CENTER OF RESEARCH, INNOVATION AND DISCOVERY (CUCRID) FOR SPONSORING THIS RESEARCH.
THIS STUDY IS SUPPORTED BY SOCIAL SCIENCE FOUNDATION SHANGHAI [GRANT NUMBER A1309] AND THE HUMANITY AND SOCIAL SCIENCE YOUTH FOUNDATION FROM THE MINISTRY OF EDUCATION OF CHINA [GRANT NUMBER 16YJC880085].
THE AUTHORS WOULD LIKE TO THANK THE LEARNING SYSTEMS AND TECHNOLOGY TEAM AT UCF FOR DEVELOPING THE OBOJOBO PLATFORM. THIS RESEARCH IS PARTLY SUPPORTED BY NSF GRANT NO. DUE-1845436 AND THE ADVANCEMENT OF EARLY CAREER RESEARCHERS (AECR) PROGRAM AT THE UNIVERSITY OF CENTRAL FLORIDA.
THE AUTHORS WISH TO THANK HEATHER WORLLEDGE-ANDREW AND DR MARIA JACKSON FOR THEIR CONTRIBUTIONS TO THE DESIGN AND TEACHING OF DIGITAL LITERACY TRAINING ON THIS MOOC. THE AUTHORS WOULD ALSO LIKE TO THANK THE IMPERIAL OPEN ACCESS FUND FOR FUNDING THE ARTICLE PROCESSING CHARGES FOR THIS MANUSCRIPT. THIS RESEARCH DID NOT RECEIVE ANY SPECIFIC GRANT FROM FUNDING AGENCIES IN THE PUBLIC, COMMERCIAL, OR NOT-FOR-PROFIT SECTORS.
THIS RESEARCH WAS FUNDED BY INTERREG EUREGION MEUSE-RHINE PROJECT SAFEPAT HTTP://WWW.SAFEPAT.EU/.
I WOULD LIKE TO THANK INTERVIEW PARTICIPANTS AND #HCSMCA FOUNDER COLLEEN YOUNG FOR THEIR TIME AND SUPPORT, AS WELL AS CAROLINE HAYTHORNTHWAITE AND LUANNE FREUND FOR THEIR MENTORSHIP. THIS RESEARCH HAS BEEN FUNDED BY GRAND NCE SUBPROJECT, LEARNSOCIAL, AND SSHRC PROJECT LEARNING ANALYTICS IN THE SOCIAL MEDIA AGE, LED BY PIS ANATOLIY GRUZD AND CAROLINE HAYTHORNTHWAITE.
THIS WORK HAS BEEN SUPPORTED BY THE PROJECT "ANALISIS, EVOLUCION, PROPUESTAS DE MEJORA Y DESARROLLO DEL SISTEMA DE APRENDIZAJE ADAPTATIVO Y ANALITICA DEL APRENDIZAJE DE LA PLATAFORMA SMARTICK" FUNDED BY THE SMARTICK COMPANY, THE EMADRID PROJECT (REGIONAL GOVERNMENT OF MADRID) UNDER GRANT S2013/ICE-2715, AND THE RESET PROJECT (MINISTRY OF ECONOMY AND COMPETIVENESS) UNDER GRANT RESET TIN2014-53199-C3-1-R.
THIS WORK HAS BEEN CO-FUNDED BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE PROJECT E-MADRID-CM (S2018/TCS-4307). THE E-MADRID-CM PROJECT IS ALSO CO-FINANCED BY THE STRUCTURAL FUNDS (FSE AND FEDER). WE WOULD LIKE TO ACKNOWLEDGE SUPPORT FROM THE MIT-SPAIN "LA CAIXA" FOUNDATION SEED FUND, THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACION PROGRAM (FJCI-2017-34926) AND THE INDUSTRIAL ENGINEERING SCHOOL OF UNED AND THEIR PROJECTS 2020-IEQ13 AND 2020-IEQ14.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE ASSISTANCE OF SERGEY VECHERIN, AND ANTHONY FUENTES FOR THEIR WORK IN MACHINE LEARNING FOR VEHICLE CONTROL AND TERRAIN IDENTIFICATION. FUNDING FOR THIS EFFORT WAS PROVIDED BY THE VEHICLE BORN IED ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ANALYTICS FOR COLD MOBILITY PROJECTS UNDER THE 6.2 AND 6.3 MILITARY ENGINEERING TECHNOLOGY WORK PACKAGE.
NATIONAL SCIENCE FOUNDATION AWARD DRL-1238619 FUNDED THIS RESEARCH. THANKS TO SCOTT HERBST, CRAIG GANOE, DARLAN SANTANA FARIAS, RICK HENKEL, PATRICK B. MCLAREN, GRACE KIHUMBA, KIM LISTER, KEVIN DHOU, JOHN CHOI, AND JIMIT BHALANI ALL OF WHOM MADE IMPORTANT CONTRIBUTIONS TO THE DESIGN AND DEVELOPMENT OF THE DECIMAL POINT GAME.
FUNDING FOR THIS PROJECT WAS PROVIDED THROUGH THE UM PRESIDENT'S POSTDOCTORAL FELLOWSHIP, UM LEARNING ANALYTICS FELLOWSHIP, AND UM CENTER FOR THE EDUCATION OF WOMEN. WE THANK TIMOTHY MCKAY, ROBIN JACOBS, BRIAN JACOB, AND BRIAN COPPOLA FOR USEFUL DISCUSSIONS ABOUT REGRESSION DISCONTINUITY AND THE CHEMISTRY PLACEMENT MODEL.
THIS WORK WAS SUPPORTED BY NWO VENI GRANT OF THE FIRST AUTHOR (451-16-017).
THIS STUDY IS PARTIALLY SUPPORTED BY AN EARLY CAREER SCHEME GRANT FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG S.A.R., CHINA (PROJECT NO.: HKU 27401114).
THIS RESEARCH WAS SUPPORTED IN PART BY IES GRANTS R305A120707 AND R305A180261 AS WELL AS THE OFFICE OF NAVAL RESEARCH (GRANT NO. N00014-16-1-2611). OPINIONS, CONCLUSIONS, OR RECOMMENDATIONS DO NOT NECESSARILY REFLECT THE VIEW OF THE DEPARTMENT OF EDUCATION, IES, OR THE OFFICE OF NAVAL RESEARCH.
THIS WORK WAS PARTIALLY SUPPORTED BY COLCIENCIAS PHD SCHOLARSHIP (CALL 647-2014).
THIS RESEARCH, 'GEOSPATIAL BIG DATA MANAGEMENT, ANALYSIS AND SERVICE PLATFORM TECHNOLOGY DEVELOPMENT', WAS SUPPORTED BY THE MOLIT(THE MINISTRY OF LAND, INFRASTRUCTURE AND TRANSPORT), KOREA, UNDER THE NATIONAL SPATIAL INFORMATION RESEARCH PROGRAM SUPERVISED BY THE KAIA(KOREA AGENCY FOR INFRASTRUCTURE TECHNOLOGY ADVANCEMENT)"(19NSIP-B081011-06). THIS RESEARCH WAS ALSO SUPPORTED BY THE MSIP (MINISTRY OF SCIENCE, ICT AND FUTURE PLANNING) KOREA AND MICROSOFT RESEARCH UNDER THE ICT/SW CREATIVE RESEARCH PROGRAM SUPERVISED BY THE IITP (INSTITUTE FOR INFORMATION & COMMUNICATIONS TECHNOLOGY PROMOTION) (IITP-2015-11-1505).
THIS WORK WAS SUPPORTED IN PART BY FUNDING FROM THE OFFICE OF ACADEMIC INNOVATION, UNIVERSITY OF MICHIGAN.
WE ARE GRATEFUL TO COMMONAPP FOR PROVIDING US WITH THE DATASET, WHICH MADE THIS WORK POSSIBLE. WE ALSO THANK DONALD KAMENTZ FOR ASSISTANCE IN ACQUIRING THE DATA AND FOR GENERAL ADVICE, AND TO PARKER GOYER FOR HER ASSISTANCE IN CODING THE NSC DATA. THIS RESEARCH WAS SUPPORTED BY THE WALTON FAMILY FOUNDATION, THE MINDSET SCHOLARS NETWORK, THE BILL & MELINDA GATES FOUNDATION, THE JOYCE FOUNDATION, THE OVERDECK FAMILY FOUNDATION, AND THE RAIKES FOUNDATION. ANY OPINIONS, FINDINGS AND CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE FUNDING AGENCIES.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION GRANT #1447489. THE COMPUTATIONAL RESOURCES WAS PROVIDED BY ARGO, A RESEARCH COMPUTING CLUSTER PROVIDED BY THE OFFICE OF RESEARCH COMPUTING AT GEORGE MASON UNIVERSITY, VA. (URL: HTTP://ORC.GMU.EDU)
THIS WORK WAS SUPPORTED IN PART BY NSF (1447788, 1704074, 1757916, 1834251), ARMY RESEARCH OFFICE (W911NF1810344), INTEL CORP, AND THE DIGITAL TECHNOLOGY CENTER AT THE UNIVERSITY OF MINNESOTA. ACCESS TO RESEARCH AND COMPUTING FACILITIES WAS PROVIDED BY THE DIGITAL TECHNOLOGY CENTER AND THE MINNESOTA SUPERCOMPUTING INSTITUTE, HTTP://WWW.MSI.UMN.EDU.
WE THANK UC BERKELEY STAFF ANDREW EPPIG, TOM O'BRIEN, REBECCA SABLO, AND WALTER WONG FOR THEIR ASSISTANCE WITH THE ANONYMIZED DATA AND FOR SHARING THEIR WISDOM ON THE COMPLEXITIES OF THE ENROLLMENT CONTEXT. THIS MATERIAL IS BASED IN PART UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NUMBER 1446641.
THIS WORK WAS SUPPORTED IN PART UNDER THE HOLISTIC MODELING OF EDUCATION (HOME) PROJECT FUNDED BY THE MICHIGAN INSTITUTE FOR DATA SCIENCE (MIDAS).
THE RESEARCH REPORTED HERE WAS SUPPORTED IN PART BY THE INSTITUTE OF EDUCATION SCIENCES, U.S. DEPARTMENT OF EDUCATION, THROUGH GRANT (R305B140009). WE ALSO WISH TO ACKNOWLEDGE THE CENTER FOR ADVANCED RESEARCH IN ONLINE LEARNING FOR PROVIDING US WITH THE DATA AND COURSE MAPPING.
THIS WORK WAS SUPPORTED BY THE IBM-ILLINOIS CENTER FOR COGNITIVE COMPUTING SYSTEMS RESEARCH (C3SR) - A RESEARCH COLLABORATION AS PART OF THE IBM AI HORIZONS NETWORK.
THIS WORK WAS SUPPORTED BY THE COLLEGE OF BUSINESS, JAMES MADISON UNIVERSITY.
THIS STUDY IS PARTIALLY SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA: 61703357 AND AN EARLY CAREER SCHEME GRANT FROM THE RESEARCH GRANTS COUNCIL OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION, CHINA: HKU 27401114.
THIS PAPER WAS PARTIALLY SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION GRANTS ACI-1443068 AND IIS-1525186 AND BY FUNDING FROM GOOGLE. ALL DATA PRESENTED HERE IS AVAILABLE FROM DATASHOP<SUP>4</SUP>.
THE RESEARCH REPORTED HERE WAS SUPPORTED BY THE INSTITUTE OF EDUCATION SCIENCES THROUGH GRANT R305C160004 TO THE UNIVERSITY OF FLORIDA. THE OPINIONS EXPRESSED ARE THOSE OF THE AUTHORS AND ARE NOT NECESSARILY THE VIEWS OF THE INSTITUTE OR THE U.S. DEPT. OF EDUCATION. WE WOULD LIKE TO THANK STUDY EDGE AND THE FLORIDA DEPARTMENT OF EDUCATION FOR MAKING THE ALIGNED AND ANONYMIZED DATA USED IN THE ANALYSIS AVAILABLE FOR THE RESEARCH.
THIS WORK WAS PARTIALLY SUPPORTED BY A CANADIAN GRADUATE SCHOLARSHIP FROM THE NATIONAL SCIENCE AND ENGINEERING RESEARCH COUNCIL (NSERC) OF CANADA. THIS RESEARCH WAS ALSO SUPPORTED BY AN NSERC DISCOVERY GRANT, AND A SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL (SSHRC) GRANT. ANY OPINIONS, FINDINGS AND CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF NSERC AND SSHRC. WE ALSO THANK FAITH JABS FOR HER HELP WITH THE DATA COLLECTION.
WE WANT TO THANK MULTIPLE NSF GRANTS (E.G., ACI-1440753, DRL-1252297, DRL-1109483, DRL-1316736, DGE-1535428, OAC-1724889, OAC-1636782, 1822830 & DRL-1031398), THE US DEPARTMENT OF EDUCATION INSTITUTE FOR EDUCATION SCIENCES (E.G., IES R305A180401, R305A120125, R305A180401 & R305C100024) AND THE GRADUATE ASSISTANCE IN AREAS OF NATIONAL NEED PROGRAM (E.G., P200A180088 & P200A150306), AND THE OFFICE OF NAVAL RESEARCH (N00014-18-1-2768).
WE THANK TOM HICKS, WILLIAM MITCHELL AND JANE STROHM AT THE UNIVERSITY OF ARIZONA FOR THE AW DEVELOPMENT AND SUPPORT MATERIALS, AND STEVEN SCHNEIDER, SHANDY HAUK, KATHLEEN D'SILVA, CATHY RINGSTAFF, WEILING LI AND BOB ALLEN OF WESTED FOR CONDUCTING THE STUDY AND SHARING THE DATA. THIS PROJECT WAS SUPPORTED BY THE U.S. DEPARTMENT OF EDUCATION'S INSTITUTE OF EDUCATION SCIENCE (GRANT NUMBER: R305A090107). THE VIEWS EXPRESSED ARE NOT NECESSARILY THOSE OF THE FUNDING AGENCY.
THIS WORK WAS SUPPORTED IN PART BY NATIONAL SCIENCE FOUNDATION GRANTS #ACI-1443068 AND BCS-1824257.
THE AUTHORS THANK THE ENTIRE SMART LEARNING TEAM FOR THEIR OUTSTANDING WORK AND MANY CONSTRUCTIVE IDEAS. SPECIAL THANKS TO THE INSTRUCTORS OF THE DIFFERENT COURSES. THIS WORK IS PARTLY SUPPORTED BY THE GERMAN FEDERAL MINISTRY OF EDUCATION AND RESEARCH (FUNDING CODES 01PD14002D AND 01PD17002D).
THIS WORK WAS SUPPORTED BY THE BRAZILIAN RESEARCH SUPPORT AGENCIES CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTIFICO E TECNOLOGICO - CNPQ (GRANT NUMBERS 456855/2014-9 AND 141958/2018-9) AND COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR - CAPES (FINANCE CODE 001). THE AUTHORS ALSO THANK SOCIOPATTERNS (WWW.SOCIOPATTERNS.ORG) FOR MAKING AVAILABLE THE NETWORK DATA SETS USED IN THIS PAPER.
OPEN ACCESS FUNDING PROVIDED BY NTNU NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY (INCL ST. OLAVS HOSPITAL TRONDHEIM UNIVERSITY HOSPITAL).
THIS WORK WAS SUPPORTED BY THE JSPS KAKENHI [GRANT NUMBER JP19K02982]. WE WOULD LIKE TO THANK EDITAGE (WWW.EDITAGE.COM) FOR ENGLISH LANGUAGE EDITING.
THIS WORK WAS SUPPORTED BY JUNIOR RESEARCH PROJECT BY CZECH SCIENCE FOUNDATION GACR NO. GJ18-04150Y.
THIS PUBLICATION IS A RESULT OF THE RESEARCH OF THE TECHNISCHE HOCHSCHULE LUBECK, UNIVERSITAT DUISBURG-ESSEN, RUHR-UNIVERSITAT BOCHUM, AND FUNDED BY THE FEDERAL MINISTRY OF EDUCATION & RESEARCH OF THE FEDERAL REPUBLIC OF GERMANY (BMBF FKZ 16DHL1011, 16DHL1012, 16DHL1013, IKAR-ION).
E-MADRID-CM PROJECT, CO-FINANCED BY THE STRUCTURAL FUNDS (FSE AND FEDER)., GRANT/AWARD NUMBER: S2018/TCS-4307; NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE AND INNOVATION UNDER PROJECTS, GRANT/AWARD NUMBER: PID2019105951RB-I00 AND RED2018-102725-T
THE RESEARCH LEADING TO THESE RESULTS HAS RECEIVED FUNDING FROM THE EUROPEAN COMMUNITY'S 7TH FRAMEWORK PROGRAM (FP7/2007-2013) UNDER GRANT AGREEMENT NO. 318499 - WESPOT PROJECT AND THE ERASMUS+ PROGRAM, KEY ACTION 2 STRATEGIC PARTNERSHIPS, OF THE EUROPEAN UNION UNDER GRANT AGREEMENT 2015-1-UK01-KA203013767 ABLE PROJECT.
OUR GRATEFUL THANKS TO VITOMIR KOVANOVIC, WHO GENEROUSLY SHARED HIS CODE. THIS WORK WAS SUPPORTED IN PART BY THE EPSRC CENTRE FOR DOCTORAL TRAINING IN DATA SCIENCE, FUNDED BY THE UK ENGINEERING AND PHYSICAL SCIENCES RESEARCH COUNCIL (GRANT EP/L016427/1) AND THE UNIVERSITY OF EDINBURGH.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE THE FINANCIAL AND TECHNICAL SUPPORT OF WRITING LAB, TECLABS, TECNOLOGICO DE MONTERREY, MEXICO, IN THE PRODUCTION OF THIS WORK.
THIS PROJECT WAS FUNDED BY THE DEANSHIP OF SCIENTIFIC RESEARCH (DSR), KING ABDULAZIZ UNIVERSITY, JEDDAH, UNDER GRANT NO. D-106-611-1440. THE AUTHORS, THEREFORE, GREATLY ACKNOWLEDGE THE DSR TECHNICAL AND FINANCIAL SUPPORT.
THIS WORK WAS SUPPORTED IN PART BY THE SCIENTIFIC GRANT AGENCY OF THE MINISTRY OF EDUCATION OF THE SLOVAK REPUBLIC AND SLOVAK ACADEMY OF SCIENCES UNDER CONTRACTS VEGA-1/0776/18, IN PART BY THE EUROPEAN COMMISSION ERASMUS+ PROGRAMME 2018, UNDER GRANT 2018-1-SK01-KA203-046382, AND IN PART BY THE SCIENTIFIC RESEARCH PROJECT OF THE CZECH SCIENCES FOUNDATION UNDER GRANT 19-15498S.
THE RESEARCH LEADING TO THESE RESULTS RECEIVED FUNDING FROM THE ANIIFSDA PROGRAM UNDER PROPOSAL NUMBER FSDA_1_2018_1_154853.
THIS STUDY IS PARTIALLY SUPPORTED BY THE NSFC GRANT (71601082), SOCIAL SCIENCE PLANNING PROJECT OF FUJIAN PROVINCE (FJ201613075), NATURAL SCIENCE FOUNDATION OF FUJIAN PROVINCE (2017J01132) AND HUAQIAO UNIVERSITY'S HIGH LEVEL TALENT RESEARCH START PROJECT FUNDING (16SKBS102).
THIS PROJECT IS SPONSORED BY THE FACULTY OF ENGINEERING AND TECHNOLOGY, LIVERPOOL JOHN MOORES UNIVERSITY.
THIS WORK WAS SUPPORTED BY THE UNIVERSIDAD TECNOLOGICA EQUINOCCIAL.
THIS WORK IS SUPPORTED BY EDEX GRANT "DOES TEAM-BASED LEARNING IMPROVE EXAM SCORES". THE AUTHORS ARE ALSO GRATEFUL TO IRINA ORLENKO FOR HER INVALUABLE COMMENTS ON THE MANUSCRIPT.
THE DATASET USED IN THIS PAPER IS PROVIDED BY THE UNIVERSITY OF SOUTHAMPTON FOR THE ETHICALLY APPROVED COLLABORATIVE STUDY, ID NUMBER 23593. THIS WORK HAS BEEN DONE UNDER THE PROJECT NUMBERED 2016-04-01-DOP05 IN YILDIZ TECHNICAL UNIVERSITY.
THIS WORK HAS BEEN DEVELOPED IN THE VISAIGLE PROJECT, FUNDED BY THE SPANISH MINISTRY OF ECONOMY, INDUSTRY AND COMPETITIVENESS WITH REF. TIN2017-85797-R.
THIS WORK IS SUPPORTED BY AN NSERC DISCOVERY GRANT AND A UNIVERSITY OF VICTORIA GRADUATE FELLOWSHIP
THIS WORK WAS SUPPORTED IN PART BY SPANISH DISTANCE UNIVERSITY, UNED, SPANISH NETWORK OF LEARNING ANALYTICS, SNOLA, SUPPORTED BY SPANISH MINISTRY OF INNOVATION, SCIENCE, AND UNIVERSITIES UNDER GRANT RED2018-102725-T, AND IN PART BY THE G-ELIOS UNED RESEARCH GROUP.
THIS WORK WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE ENHANCING ICT EDUCATION THROUGH FOUNATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION PROJECT (GRANT TIN2013-45303-P) AND BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS (GRANT TRA2013-48180-C3-3-P).
THIS WORK WAS SUPPORTED IN PART BY THE ACADEMY OF FINLAND (DECISION NUMBERS 251170 AND 266969).
THIS STUDY IS SUPPORTED IN PART BY THE MINISTRY OF SCIENCE AND TECHNOLOGY OF THE REPUBLIC OF CHINA UNDER CONTRACT NUMBERS MOST-107-2511-H-011-005-MY2.
THIS STUDY HAS BEEN SUPPORTED BY THE UNED OER PROGRAMME (UNED ABIERTA) AND BY THE OFFICE OF THE VICE PRESIDENT OF QUALITY AND INTERNATIONALISATION, VIII CALL FOR PROPOSALS FOR RESEARCH NETWORKS FOR EDUCATIONAL INNOVATION: DEVELOPMENT OF PILOT PROJECTS TO IMPROVE TEACHING QUALITY IN THE EUROPEAN HIGHER EDUCATION AREA (ACADEMIC YEAR 2014/2015).
THIS RESEARCH HAS BEEN PARTIALLY FUNDED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS IN THE EEE PROJECT (TIN2011-28308-C03-03). THE AUTHORS WOULD ALSO LIKE TO THANK THE TEACHERS AND THE STUDENTS OF THE DOLMEN EDUCATIONAL CENTRE IN L'HOSPITALET.
THIS STUDY IS SUPPORTED BY SHANDONG EDUCATION SCIENCE PLAN "RESEARCH ON BIG DATA TECHNOLOGY SCHEME AND IMPLEMENTATION STRATEGY IN INTELLIGENT EDUCATION DECISION-MAKING" [GRANT NUMBER 2020ZD030]; SHANDONG EDUCATION SCIENCE PLAN "RESEARCH ON BIG DATA TECHNOLOGY SCHEME AND IMPLEMENTATION STRATEGY IN INTELLIGENT EDUCATION DECISION-MAKING" [GRANT NUMBER 2020ZD030].
HAORAN XIE'S WORK IS SUPPORTED BY DIRECT GRANT (DR21A5) AND THE FACULTY RESEARCH GRANT (DB21A9) OF LINGNAN UNIVERSITY, HONG KONG. GARY CHENG'S WORK IS SUPPORTED BY ONE-OFF SPECIAL FUND FROM CENTRAL AND FACULTY FUND IN SUPPORT OF RESEARCH FROM 2019/20 TO 2021/22 (MIT02/19-20), RESEARCH CLUSTER FUND (RG 78/2019-2020R), AND DEAN'S RESEARCH FUND 2019/20 (IDS-2 2020) OF THE EDUCATION UNIVERSITY OF HONG KONG. THE FUNDERS HAD NO ROLE IN STUDY DESIGN, DATA COLLECTION AND ANALYSIS, DECISION TO PUBLISH, OR PREPARATION OF THE MANUSCRIPT.
WE WOULD LIKE TO THANK THE CHILDREN, FAMILIES AND THE ABA TEAMS WHO PARTICIPATED IN THE PILOT TESTS, IN PARTICULAR CLAUDIA FENILI, SIMONA MENCARINI AND PATRIZIO BATISTINI WHO EVALUATED PARTICIPANTS. WE THANK THE PSYCHOLOGISTS VALENTINA CUTRUPI AND EUGENIA ROMANO FOR THEIR SUPPORT AND VALUABLE SUGGESTIONS IN WRITING THIS PAPER. WE FINALLY THANK REGIONE TOSCANA, WHICH FUNDED THIS PROJECT WITHIN THE FRAMEWORK OF THE "FAS 2007 2013 DELIBERA CIPE 166/2007 PAR FAS REGIONE TOSCANA ACTION LINE 1.1.A.3'' AND THE REGISTRO.IT FOR PARTIALLY FUNDING THIS STUDY.
THIS WORK WAS SUPPORTED IN PART BY THE NATIONAL RESEARCH FOUNDATION OF KOREA (NRF) FUNDED BY THE GOVERNMENT OF KOREA [MINISTRY OF SCIENCE AND ICT (MSIT)] UNDER GRANT 2019R1A4A1023746 AND GRANT 2019R1F1A1060799, AND IN PART BY THE STRENGTHENING RESEARCH AND DEVELOPMENT CAPABILITY PROGRAM OF SEJONG UNIVERSITY.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION [EEC #1263814].
THIS WORK IS A RESULT OF A COLLABORATION WITHIN A MOBILITY GRANT FOR RESEARCH FUNDED BY THE SEBAP, SOCIETAT ECONOMICA BARCELONESA D'AMICS DEL PAIS. THIS WORK HAS ALSO BEEN PARTIALLY FUNDED BY NSF DRL 1740775, "LA CAIXA FOUNDATION" (COT PROJECT, 100010434) AND FEDER, THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES MDM-2015-0502, TIN2014-53199-C3-3-R, TIN2017-85179-C3-3-R. D. HERNANDEZ-LEO ACKNOWLEDGES THE SUPPORT BY ICREA UNDER THE ICREA ACADEMIA PROGRAMME.ADDITIONALLY, THE WORK OF ONE OF THE AUTHORS WAS FUNDED BY CONICYT PFCHA/DOCTORADO BECAS CHILE/2018 -72190680.
THE RESEARCH IN THIS PAPER WAS SUPPORTED BY CONTRACT KP-06-OPR/1 FROM 13.12.2018 PROJECT "AN INNOVATIVE SOFTWARE PLATFORM FOR BIG DATA LEARNING AND GAMING ANALYTICS FOR AN USER-CENTRIC ADAPTATION OF TECHNOLOGY ENHANCED LEARNING (APTITUDE)", COMPETITION FOR FINANCIAL SUPPORT OF BASIC RESEARCH PROJECTS ON SOCIETAL CHALLENGES -2018, BULGARIAN NATIONAL SCIENCE FUND, MINISTRY OF EDUCATION AND SCIENCE, BULGARIA.
THIS PAPER IS BASED ON WORK SUPPORTED BY CINGLEVUE INTERNATIONAL. THE AUTHORS WOULD LIKE TO EXTEND THEIR APPRECIATION FOR ALL THE HELP AND INFORMATIONAL SUPPORT PROVIDED BY THE RESEARCH & DEVELOPMENT AND MARKETING TEAM AT CINGLEVUE. DESPITE PROVIDED SUPPORT, ANY OPINIONS, FINDINGS, CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT POSITIONS OR POLICIES OF THE COMPANY.
THE AUTHORS THANK QIAOMU SHEN FOR HIS HELP ON THE INTERACTIVITY PART AND LING LI FOR HER FEEDBACK FROM THE PEDAGOGY PERSPECTIVE. THIS WORK IS SUPPORTED BY THE INNOVATION TECHNOLOGY FUND OF HONG KONG UNDER GRANT NO. ITS/306/15FP.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS RESEARCH IS SUPPORTED THROUGH A FIVE-YEAR RESEARCH INITIATIVE (2013-2018) "LEARNING ANALYTICS FOR THE SOCIAL MEDIA AGE" FUNDED BY THE SOCIAL SCIENCE AND HUMANITIES RESEARCH COUNCIL OF CANADA, PIS ANATOLIY GRUZD AND CAROLINE HAYTHORNTHWAITE.
THE AUTHORS WOULD LIKE TO THANK ALL TEACHERS WHO PARTICIPATED IN THE STUDY, AS WELL AS THE RESEARCHERS JUDIT MARTINEZ AND MARC BEARDSLEY. THIS WORK HAS BEEN PARTIALLY FUNDED BY RECERCAIXA (COT PROJECT) AND THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS UNDER MDM-2015-0502, TIN2014-53199-C3-3-R AND TIN2017-85179-C3-3-R.
THIS RESEARCH IS DEDICATED TO THE GO-GN GLOBAL OER GRADUATE NETWORK WHO HAVE INSPIRED ME AND MANY EDUCATORS ALL AROUND THE WORLD. THIS STUDY WAS SUPPORTED AND FUNDED BY ANADOLU UNIVERSITY SCIENTIFIC RESEARCH PROJECTS COMMISSION UNDER GRANT NO: 2005E072.
THE AUTHORS ACKNOWLEDGE THE FUNDING SUPPORT GIVEN TO THIS WORK BY THE RESEARCH GRANTS COUNCIL OF THE HKSAR GOVERNMENT, #T44-707/16/N, UNDER THE THEME-BASED RESEARCH SCHEME. THE AUTHORS WOULD LIKE TO GIVE SPECIAL THANKS TO PROF JUDY KAY, THE EDITORIAL TEAM, AND ANONYMOUS REVIEWERS FOR THE HELPFUL SUGGESTIONS.
THIS PAPER IS SUPPORTED BY EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 732049 - UP2U (UP TO UNIVERSITY - BRIDGING THE GAP BETWEEN SCHOOLS AND UNIVERSITIES THROUGH INFORMAL EDUCATION).
WE WOULD LIKE TO ACKNOWLEDGE THE UNIVERSITY OF MICHIGAN OFFICE OF THE PROVOST, THE CENTER FOR RESEARCH ON LEARNING AND TEACHING, AND THE PROVOST'S LEARNING ANALYTICS TASK FORCE FOR FUNDING THIS PROJECT THROUGH THE 2013-14 INVESTIGATING STUDENT LEARNING (ISL) PROGRAM.
THIS WORK WAS SUPPORTED IN PART BY THE REGIONAL GOVERNMENT OF MADRID (EMADRID S2013/ICE-2715), IN PART BY THE MINISTRY OF EDUCATION (TIN2017-89238-R), IN PART BY THE EUROPEAN COMMISSION (RAGE H2020-ICT-2014-1-644187, BEACONING H2020ICT-2015-687676, ERASMUSTHORN IMPRESS 2017-1-NL01-KA203-035259), AND IN PART BY THE TELEFONICA-COMPLUTENSE CHAIR ON DIGITAL EDUCATION AND SERIOUS GAMES.
PARTS OF THIS RESEARCH WERE FUNDED BY THE EUROPEAN COMMISSION, ERASMUS+ BCIME - BUILDING CURRICULUM INFRASTRUCTURE IN MEDICAL EDUCATION PROGRAMME (REG. NO.: 2018-1-SK01-KA203-046318).
THIS WORK WAS SUPPORTED BY THE MIT-SPAIN "LA CAIXA" FOUNDATION SEED FUND. THE WORK OF J. A. RUIPEREZ,-VALIENTE WAS SUPPORTED BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGH THE JUAN DE LA CIERVA FORMACIAN PROGRAM UNDER GRANT FJCI-2017-34926.
THE AUTHORS WOULD LIKE TO EXPRESS THEIR DEEPEST GRATITUDE TO THE RUSSIAN FOUNDATION FOR BASIC RESEARCH (RFBR) FOR THE SUPPORT OF THE RESEARCH WITHIN THE PROJECT NO. 17-22-07001 "THE COMPLEX ALGORITHM OF CULTURE-BASED REGENERATION OF MINOR INDUSTRIAL CITIES IN THE CONTEXT OF AGGLOMERATION PROCESSES IN RUSSIA AND EUROPE".
THIS WORK IS PARTIALLY SUPPORTED BY PORTUGUESE FUNDS THROUGH THE CEOS.PP - CENTRE FOR ORGANISATIONAL AND SOCIAL STUDIES OF P. PORTO.
THIS WORK WAS SUPPORTED IN PART BY THE PRESIDENTIAL GAR INITIATIVES PROGRAM FOR THE FISCAL YEARS 2020-2022 AND IN PART BY THE FACULTY RESEARCH ENHANCEMENT PROGRAM (FREP), TEXAS A&MUNIVERSITY-COMMERCE. THE ASSOCIATE EDITOR COORDINATING THE REVIEW OF THIS ARTICLE AND APPROVING IT FOR PUBLICATION WAS PROF. HUANG CHEN LEE.
THIS RESEARCH HAS BEEN FUNDED BY THE ELEARN CENTER AT UNIVERSITAT OBERTA DE CATALUNYA THROUGH THE PROJECT NEW GOALS 2018NG001 "LIS: LEARNING INTELLIGENT SYSTEM".
EUROPEAN REGIONAL DEVELOPMENT FUND AND THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATIONS AND UNIVERSITIES, GRANT/AWARD NUMBER: TIN2017-85179-C3-2-R; EUROPEAN SOCIAL FUND, OPERATIONAL PROGRAM OF CASTILE AND LEON AND THE REGIONAL COUNCIL OF EDUCATION OF CASTILE AND LEON; EUROPEAN REGIONAL DEVELOPMENT FUND AND THE REGIONAL COUNCIL OF EDUCATION OF CASTILE AND LEON, GRANT/AWARD NUMBER: VA257P18; EUROPEAN COMMISSION, GRANT/AWARD NUMBER: 588438-EPP-12017-1-EL-EPPKA2-KA
THIS WORK IS SUPPORTED BY A SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC) GRANT, "LEARNING ANALYTICS FOR THE SOCIAL MEDIA AGE", PIS: ANATOLIY GRUZD AND CAROLINE HAYTHORNTHWAITE. THE AUTHORS WOULD LIKE TO THANK LILACH DAHOAH HALEVI WHO HELPED WITH THE MANUAL CODING OF TWEETS AND PROVIDED FEEDBACK ON VARIOUS DRAFTS OF THIS PAPER. WE WOULD ALSO LIKE TO THANK ANONYMOUS REVIEWERS FOR PROVIDING VERY HELPFUL COMMENTS DURING THE PEER REVIEW PROCESS.
THE TEACHING TEAM OF THE COMPUTER ORGANIZATION COURSE AT THE TU-ILMENAU HAS SUPPORTED THE WORK, REPORTED IN THIS PAPER.
THIS PAPER WAS SUPPORTED BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (GRANT NO. 62077016). THIS WORK WAS ALSO CONDUCTED AS PART OF A RESEARCH PROJECT THAT WAS FUNDED BY THE SCHOOL OF EDUCATIONAL INFORMATION TECHNOLOGY, CENTRAL CHINA NORMAL UNIVERSITY OF CHINA (PROJECT NO. CCNUSEIT202008).
THIS RESEARCH WAS FUNDED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY (CONTRACTS MOST-109-2221-E-019-057-, MOST-108-2221-E-019-038-MY2, MOST-107-2221-E-019-039-MY2, MOST-108-2634F-019-001, MOST-108-2634-F-008-001, MOST-109-2634-F008-007, AND MOST-109-2634-F-019-001) OF TAIWAN. THIS RESEARCH WAS ALSO FUNDED BY THE UNIVERSITY SYSTEM OF TAIPEI JOINT RESEARCH PROGRAM (CONTRACT USTP-NTUT-NTOU-106-02, USTP-NTUT-NTOU-107-04, USTP-NTUT-NTOU-109-01, USTP-NTOU-TMU-108-01 AND USTP-NTUT-NTOU-108-04) OF TAIWAN.
THIS WORK WAS FINANCIALLY SUPPORTED BY RESEARCH FUNDING ALLOCATED DIRECTLY FROM BRITISH TELECOM (DATA SCIENCE TEAM IN BT RESEARCH HEADQUARTERS IN ADASTRAL PARK) TO BOURNEMOUTH UNIVERSITY.
THIS RESEARCH WAS COMPLETED FOLLOWING THE GUIDELINES OF THE OXFORD UNIVERSITY RESEARCH ETHICS COMMITTEE. WE THANK P. LOPES, W. ANDEREGG, T. MARTHEWS AND G. MIDDENDORF, AS WELL AS TWO ANONYMOUS REVIEWERS, FOR CONSTRUCTIVE COMMENTS ON THE MANUSCRIPT. FINANCIAL SUPPORT FOR THE PROJECT WAS PROVIDED BY GRANTS FROM THE NATIONAL GEOGRAPHIC SOCIETY YOUNG EXPLORERS PROGRAM TO G. GOLDSMITH AND A. FULTON, AS WELL AS THE CENTER FOR TROPICAL FOREST SCIENCE, PRIVATE INDIVIDUALS, AND IN-KIND DONORS. G. GOLDSMITH WAS SUPPORTED BY AN NSF GRADUATE RESEARCH FELLOWSHIP AND A WANG FAMILY FELLOWSHIP WHILE AT UC BERKELEY. FULL ACKNOWLEDGMENTS ARE AVAILABLE AT WWW.CANOPYINTHECLOUDS.COM.
WE THANK SAMUEL T. MILLS AND SARA BOUCHARD FOR THEIR HELP IN DESIGNING SOME OF THE FIGURES. WE THANK ALL OF THE IVMOOC STUDENTS FOR THEIR FEEDBACK, COMMENTS, ENTHUSIASM, AND SUPPORT. COMMENTS BY THE ANONYMOUS REVIEWERS HELPED IMPROVE THE PAPER CONSIDERABLY. ALL R CODE AND SCI2 TOOL WORKFLOWS ARE AVAILABLE AND DOCUMENTED AT HTTP://CNS.IU.EDU/2016-MOOCV IS. THIS WORK IS SUPPORTED IN PART BY A MOOC VISUAL ANALYTICS TOOLS AWARD BY GOOGLE INC. AND AN INDIANA UNIVERSITY STUDENT LEARNING ANALYTICS FELLOWS AWARD.
THIS RESEARCH HAS BEEN PARTIALLY SUPPORTED BY THE FOLLOWING RESEARCH PROJECTS: COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS. FUNDED BY THE EUROPEAN COMMISSION. ERASMUS+ KNOWLEDGE ALLIANCES: COOPERATION FOR INNOVATION AND THE EXCHANGE OF GOOD PRACTICES (588438-EPP-1-2017-1-EL-EPPKA2-KA); ALICE: ADAPTIVE LEARNING VIA INTUITIVE/INTERACTIVE, COLLABORATIVE AND EMOTIONAL SYSTEMS. FUNDED BY THE EUROPEAN COMMISSION. FP7-ICT-2009.4.2, THEME TECHNOLOGY-ENHANCED LEARNING, PROJECT ID: 257639; AND ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION. FUNDED BY THE SPANISH GOVERNMENT: MICINN. TIN2013-45303-P. IN ADDITION, THE AUTHOR WOULD LIKE TO ACKNOWLEDGE THE USE OF RESOURCES FROM DESRIST TO CONDUCT THIS RESEARCH (PLEASE VISIT THE DESRIST PORTAL AT HTTP://DESRIST.ORG).
THIS MATERIAL IS BASED ON WORK SUPPORTED BY A COLLABORATIVE GRANT FROM THE NATIONAL SCIENCE FOUNDATION (NSF #1027736) TO MITCHEL RESNICK, YASMIN KAFAI, AND YOCHAI BENKLER. THE VIEWS EXPRESSED ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REPRESENT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION, UTAH STATE UNIVERSITY, ST. MARY'S COLLEGE, OR THE UNIVERSITY OF PENNSYLVANIA. SPECIAL THANKS TO NICOLE FORSGREN VELASQUEZ AND TAYLOR MARTIN FOR INPUT ON ANALYSES AND TO NICOLE FORSGREN, XAVIER VELASQUEZ, AND WHITNEY KING FOR READING EARLIER VERSIONS OF THIS ARTICLE. PARTICULAR THANKS TO ANANT SEETHALAKSHMI AND ANDRES MONROY-HERNANDEZ FOR HELP WITH GATHERING DATA AND TO THE SCRATCH TEAM FOR PROVIDING REPEATED FEEDBACK ON ANALYSIS.
THE HTTPS://CLASSCODE.FR/IAI FORMATION HAS BEEN CO-FUNDED THE LEARNING LAB INRIA, THE DIGITAL DIRECTION FOR EDUCATION OF THE FRENCH MINISTRY (NAME "DNE"), THE FRENCH DIGITAL UNIVERSITY ENGINEERING AND TECHNOLOGY (NAME "UNIT") AND EDUCAZUR, ONE RESOURCE HAS BEEN CO-FUNDED BY MICROSOFT-EDUCATION.
THE AUTHORS GRATEFULLY ACKNOWLEDGE THE FINANCIAL SUPPORT PROVIDED BY THE SPANISH MINISTRY OF SCIENCE AND INNOVATION IN THE PROJECT PID2020-115832GB-I00.
THIS WORK IS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION (NSF) OF THE UNITED STATES UNDER GRANT NUMBERS 0918449, 1304485, AND 1348530. ANYOPINIONS, FINDINGS, AND CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THIS PAPER, HOWEVER, ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF. THE AUTHORS ARE INDEBTED TO PAUL ANDRUS, TED FUIST, AND LARRY WEATHERS FOR ASSISTANCE IN CONDUCTING THIS RESEARCH STUDY AT THEIR SCHOOL.
THIS WORK WAS SUPPORTED BY THE NATIONAL RESEARCH AGENCY OF THE SPANISH MINISTRY OF SCIENCE, INNOVATION, AND UNIVERSITIES UNDER PROJECT GRANT MDM-2015-0502, PROJECT GRANT 'TIN2017-85179-C3-3-R, AND PROJECT GRANT TIN201785179-C3-2-R. THE WORK OF DAVINIA HERNANNDEZ-LEO WAS SUPPORTED BY THE CATALAN INSTITUTION FOR RESEARCH AND ADVANCED STUDIES (ICREA) UNDER THE ICREA ACADEMIA PROGRAMME. (CORRESPONDING AUTHOR: ISHARI AMARASING HE.)
FUNDINGTHIS WORK WAS SUPPORTED BY THE SPANISH MINISTRY OF SCIENCE AND TECHNOLOGY [NO. PID2020-115832GB-100].
THIS STUDY IS PART OF THE PROJECT IND2017/SOC-7874 FOR ASSESSMENT AND IMPROVE THE DIGITAL MATERIAL DESIGN, FUNDED BY THE COMMUNITY OF MADRID BY `INDUSTRIAL PH.D' GRANTS.
OPEN ACCESS FUNDING PROVIDED BY UNIVERSITA DEGLI STUDI DELLA BASILICATA WITHIN THE CRUI-CARE AGREEMENT. THIS WORK HAS BEEN SUPPORTED BY THE PROJECT COLMOOC "INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS", CO-FUNDED BY THE EUROPEAN COMMISSION WITHIN THE ERASMUS + PROGRAM (REF. 588438-EPP-1-2017-1-EL-EPPKA2-KA).
THIS RESEARCH WAS FUNDED IN PART BY XI'AN JIAOTONG-LIVERPOOL UNIVERSITY'S KEY SPECIAL FUND (#KSF-A-03 AND #KSF-A-19) AND RESEARCH DEVELOPMENT FUND (#RDF-16-02-43).
THIS WORK WAS MADE POSSIBLE BY GENEROUS FUNDING FROM THE ECONOMIC AND SOCIAL RESEARCH COUNCIL (ESRC, UK) AND THE ENGINEERING AND PHYSICAL SCIENCES RESEARCH COUNCIL (EPSRC, UK) [RES-139-25-0402]. MANY RESEARCHERS AND YOUNG PEOPLE CONTRIBUTED TO THE INTER-LIFE PROJECT. WE ARE DEEPLY GRATEFUL FOR ALL OF THESE CONTRIBUTIONS, AND THE POSITIVE CRITICISM AND SUGGESTIONS FOR IMPROVEMENT OFFERED BY THESE AND MANY OTHER COLLABORATORS AND COLLEAGUES.
THE AUTHORS WOULD LIKE TO EXPRESS THEIR SPECIAL THANKS TO THE STUDENTS THAT PARTICIPATE IN THE SURVEYS AND ANA SOFIA MIL-HOMENS FOR ALLOWING THE DISSEMINATION OF DATA FROM THE FOOD SAFETY AND QUALITY COURSE OF THE MSC PROGRAM IN FOOD SCIENCE AT UNIVERSIDADE ABERTA. WE ALSO THANK TO PORTUGUESE SCIENCE AND TECHNOLOGY FOUNDATION (FCT) FOR ITS FUNDING (UID/AMB/04085/2019) TO CENTER FOR ENVIRONMENTAL AND SUSTAINABILITY RESEARCH (CENSE), NOVA SCHOOL OF SCIENCE AND TECHNOLOGY, NOVA UNIVERSITY AND ALSO FOR OTHER FUNDING (UID/CPO/00713/2019), TO CENTER FOR PUBLIC POLICY AND ADMINISTRATION (CAPP), ISCSP/UNIVERSIDADE DE LISBOA.
THIS PAPER IS SUPPORTED BY THE RESEARCH PROJECT A PRACTICAL STUDY OF THE INSTRUCTIONAL MODE OF INTEGRATING READING AND WRITING BASED ON THE THEMATIC READING WHICH IS SPONSORED BY CHINA ENGLISH READING ACADEMY AND FOREIGN LANGUAGE TEACHING AND RESEARCH PRESS (THE GRANT NUMBER IS CERA1351210), AND THE RESEARCH PROJECT OF TEACHING RESEARCH AND EDUCATIONAL REFORM PROJECT, 2021 WHICH IS SPONSORED BY SHANGHAI NORMAL UNIVERSITY.
THIS WORK WAS SUPPORTED BY FUNDS FROM THE U.S. ARMY RESEARCH LABORATORY UNDER GRANT W911NF-14-2-0050.
THIS STUDY WAS SUPPORTED BY THE NOVUS, MEXICO GRANT (PEP NO. PHHT100-17CX00001), WRITING LAB, AND TECLABS OF THE TECNOLOGICO DE MONTERREY.
THIS WORK IS SUPPORTED BY A SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC) GRANT, "LEARNING ANALYTICS FOR THE SOCIAL MEDIA AGE", PIS: ANATOLIY GRUZD AND CAROLINE HAYTHORNTHWAITE. WE WANT TO THANK MEMBERS OF THE RYERSON UNIVERSITY SOCIAL MEDIA LAB FOR HELP WITH THE MANUAL CODING OF SOCIAL MEDIA POSTS, AND ESPECIALLY LILACH DAHOAH HALEVI FOR HELP WITH MANUSCRIPT PREPARATION. WE THANK THE EDITORS AND ANONYMOUS REVIEWERS FOR PROVIDING VERY HELPFUL COMMENTS. AN EARLIER ITERATION OF THIS WORK APPEARED IN THE PROCEEDINGS OF THE 52ND HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES.
THE AUTHOR THANKS THE INSTITUTE FOR MUSEUM AND LIBRARY SERVICES FOR THEIR FUNDING AND SUPPORT OF THIS PROJECT THROUGH THE IMLS 'LAURA BUSH 21ST CENTURY LIBRARIAN PROGRAM EARLY CAREER DEVELOPMENT PROGRAM'.
I WOULD LIKE TO THANK THE STUDENT JHERSY ANDRES NOLASCO AREVALO, WHO CARRIED OUT THE CODING OF THE APPLICATION DESCRIBED IN THIS PAPER. THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE EUROPEAN COMMISSION THROUGH THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS" (588438-EPP-1-2017-1-EL-EPPKA2-KA) AND THE PROJECTS SANTANDER-UCM GR3/14 (GROUP 962022) AND ELITE-CM S2015/HUM-3426.
THIS PROJECT RECEIVED FINANCIAL SUPPORT FROM MINCIENCIAS FROM CALL FOR RESEARCH PROPOSALS 804-2018, PROJECT GRANT 115680463846. WE ARE GRATEFUL TO THE UNIVERSIDAD ABIERTA Y A DISTANCIA (UNAD) FOR PROVIDING THE DATASET WE USED FOR THIS WORK.
THIS WORK WAS SUPPORTED BY THE INSTITUTE FOR INNOVATIVE TECHNOLOGY IN MEDICAL EDUCATION, A US BASED NON-PROFIT ORGANIZATION.
WE WOULD LIKE TO THANK THE CENTRE FOR MATHEMATICS, SCIENCE, AND TECHNOLOGY EDUCATION (CMASTE) AT THE UNIVERSITY OF ALBERTA, THE SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA - INSIGHT DEVELOPMENT GRANT (SSHRC IDG) RES0034954, THE NATURAL SCIENCES AND ENGINEERING RESEARCH COUNCIL (NSERC DG) RES0043209, AND THE KILLAM CORNERSTONE OPERATING GRANT RES0043207 FOR SUPPORTING THIS RESEARCH.
THIS WORK WAS SUPPORTED IN PART BY THE FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES-AGENCIA ESTATAL DE INVESTIGACION, THROUGH THE SMARTLET PROJECT UNDER GRANT TIN2017-85179-C3-1-R, AND IN PART BY THE MADRID REGIONAL GOVERNMENT THROUGH THE E-MADRID-CM PROJECT UNDER GRANT S2018/TCS-4307, A PROJECT WHICH IS CO-FUNDED BY THE EUROPEAN STRUCTURAL FUNDS (FSE AND FEDER). PARTIAL SUPPORT HAS ALSO BEEN RECEIVED FROM THE EUROPEAN COMMISSION THROUGH ERASMUS + CAPACITY BUILDING IN THE FIELD OF HIGHER EDUCATION PROJECTS, MORE SPECIFICALLY THROUGH PROJECTS LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), INNOVAT (598758-EPP-1-2018-1-AT-EPPKA2-CBHE-JP), AND PROF-XXI (609767-EPP-1-2019-1-ES-EPPKA2-CBHE-JP). THIS PUBLICATION REFLECTS THE VIEWS ONLY OF THE AUTHORS AND FUNDERS CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS MODULE DESIGN, DEVELOPMENT AND DELIVERY WORK WAS SUPPORTED BY THE GOOGLE IGNITE CS AND THE NSA GEN CYBER PROGRAMS.
THIS PROJECT WAS FUNDED IN PART BY A GRANT FROM THE HEALTH RESOURCES AND SERVICES ADMINISTRATION (D54HP20674).
THE DEVELOPMENT OF E-EARLYCARE IS CARRIED OUT FROM THE FINANCING OF THE PROJECT WITHIN THE VI CALL FOR TEST CONCEPT: PROMOTION OF THE VALORIZATION AND COMMERCIALIZATION OF THE RESEARCH RESULTS FINANCED BY PLAN TCUE 2018-2020, CO-FINANCED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER) AND THE JUNTA DE CASTILLA Y LEON.
THIS WORK WAS PARTIALLY SUPPORTED BY THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 732049 -UP2U.
THIS WORK IS SUPPORTED FROM THE NORWEGIAN RESEARCH COUNCIL UNDER THE PROJECTS FUTURE LEARNING (NUMBER: 255129/H20) AND XDESIGN (290994/F20).
THIS RESEARCH WAS FINANCIALLY FUNDED IN PART BY THE EUROPEAN COMMISSION, H2020 PROGRAMME LIFECYCLE-733206, THE ERASMUS PLUS PROGRAMME CAPACITY BUILDING TO IMPROVE EARLY NUTRITION ANDHEALTH IN SOUTH AFRICA-598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JP AND THE ERASMUS + CBHE 2016 PROGRAMME "EARLY NUTRITION EACADEMY SOUTHEAST ASIA (573651-EPP-1-2016-1-DE-EPPKA2-CBHE-JP). THE IMPLEMENTATION OF THE ENS PROGRAMME HAS BEEN SUPPORTED BY UNRESTRICTED EDUCATIONAL GRANTS FROM THE NESTLE NUTRITION INSTITUTE FROM 2017-2021. BK IS THE ELSE KRONER-SENIORPROFESSOR OF PAEDIATRICS AT LMU, JOINTLY FUNDED BY THE ELSE KRONER-FRESENIUS-FOUNDATION, BAD HOMBURG, GERMANY AND THE LMU UNIVERSITY HOSPITALS, MUNICH, GERMANY.
PRESENTATION OF THIS WORK HAS BEEN SUPPORTED IN PART BY NSF GRANT CNS-1042341.; WE THANK COLLABORATORS WHO PROVIDED THE DATASET USED IN OUR RESEARCH, INCLUDING BUT NOT LIMITED TO DAZHI YANG, RUTH STREVELER, JAMES SLOTTTA, AND RONALD MILLER. THEIR WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION AS PART OF A PROJECT NAMED "DEVELOPING ONTOLOGICAL SCHEMA TRAINING METHODS TO HELP STUDENTS DEVELOP SCIENTIFICALLY ACCURATE MENTAL MODELS OF ENGINEERING CONCEPTS" UNDER GRANT NO. EEC-0550169.
THIS WORK WAS SUPPORTED BY THE FELLOWSHIP 310060/2018-4 OF THE NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT -CNPQ.
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY THE FUNDS FROM THE ITALIAN "MINISTERO DELL'ISTRUZIONE, DELL'UNIVERSITA E DELLA RICERCA" UNDER THE PROJECT "PROGETTO DI ATENEO PRO3 -PROGRAMMAZIONE TRIENNALE 2016-2018 -OBIETTIVO B: MODERNIZZAZIONE AMBIENTI DI STUDIO E DI RICERCA, INNOVAZIONE DELLE METODOLOGIE DIDATTICHE -AZIONE C: INTERVENTI PER IL RAFFORZAMENTO DELLE COMPETENZE TRASVERSALI ACQUISITE DAGLI STUDENT" OF THE UNIVERSITY FOR FOREIGNERS OF PERUGIA.
THIS WORK HAS BEEN FUNDED BY UNIVERSITY POLITEHNICA OF BUCHAREST, THROUGH THE "EXCELLENCE RESEARCH GRANTS" PROGRAM, UPB - GEX. IDENTIFIER: UPB EXCELENTA-2016 "CONSTRUIREA SI EXPLOATAREA PROFILULUI UTILIZATORILOR IN MEDII DE INVATARE VIRTUALE: METODE, IMPLICATII PSIHOSOCIALE SI CONSECINTE UTILIZAND TEHNICI DE ANALIZA AVANSATA A DATELOR - LEPROVE (LEARNING PROFILING IN VIRTUAL ENVIRONMENTS)", CONTRACT NUMBER 83/26.09.2016, CODE 303. (LEPROVE).
THIS WORK WAS SUPPORTED BY SANOFI-AVENTIS U.S. LLC (BRIDGEWATER TOWNSHIP, NJ). PUBLISHING AND THE RAPID SERVICE FEE WERE FUNDED BY GNS HEALTHCARE (CAMBRIDGE, MA).
THIS RESEARCH WAS FUNDED BY INNOVATE UK (GRANT NO. 101812).
WE THANK WAKE FOREST UNIVERSITY'S CENTER FOR ENERGY, ENVIRONMENT AND SUSTAINABILITY; THE WAKE FOREST UNMANNED SYSTEMS LABORATORY; AND THE DEPARTMENT OF BIOLOGY FOR FINANCIAL SUPPORT AND OTHER CONTRIBUTIONS TO THIS PROJECT. THANK YOU TO P. FOX FOR HIS ASSISTANCE CONDUCTING FLIGHTS AND ENSURING PROPER AND SAFE FLIGHT OPERATIONS AND TO K. BLACKBURN FOR HIS ASSISTANCE WITH DATA ORGANIZATION AND IMAGE SELECTION. WE ALSO THANK L. MCDONALD AND ANONYMOUS REVIEWERS FOR PROVIDING COMMENTS THAT HELPED IMPROVE THE MANUSCRIPT.
THIS WORK WAS SUPPORTED BY GRANT 107-TMU-TMUH-26 FROM TAIPEI MEDICAL UNIVERSITY HOSPITAL. THE FUND HAD NO INVOLVEMENTS IN STUDY DESIGN, COLLECTION, ANALYSIS, INTERPRETATION OF DATA, WRITING, OR DECISION TO SUBMIT THE ARTICLE FOR PUBLICATION.
THIS WORK WAS FUNDED BY THE ELEARN CENTER AT UNIVERSITAT OBERTA DE CATALUNYA THROUGH THE PROJECT: NEW GOALS 2018NG001 "LIS: LEARNING INTELLIGENT SYSTEM".
THE AUTHORS ARE GRATEFUL TO THE BRAZILIAN FUNDING AGENCIES (CNPQ, CAPES, FAPEMIG, FAPESP) AND THE IFSULDEMINAS FOR THEIR FINANCIAL SUPPORT. WE ALSO THANK THE CONTRIBUTIONS OF MATHEUS HADDAD AND THE ATELIE DE SOFTWARE'S TEAM FOR HELPING US DURING THE DEVELOPMENT AND DELIVERING OF THE AGILE SOFTWARE DEVELOPMENT MOOC.
WORK CO-FUNDED BY THE SPANISH MINISTRY OF ECONOMICS AND COMPETITIVITY (MINISTERIO DE ECONOMIA Y COMPETITIVIDAD) THROUGH PROJECT MAGIST-ELA: LARGE SCALE GEO-PROCESSING FOR EXPLORATORY AND LEARNING ANALYTICS (PID2019-105221RB-C42) OF THE R+D+I STATE PROGRAM ORIENTED TO SOCIETY CHALLENGES (PROGRAMA ESTATAL DE I+D+I ORIENTADA A LOS RETOS DE LA SOCIEDAD).
AUTHOR APPRECIATES THE FINANCIAL SUPPORT PROVIDED BY THE UNIVERSITY OF ZARAGOZA FOR THE DEVELOPMENT OF THE PRESENT WORK, BY MEANS OF THE EDUCATIONAL INNOVATION PROGRAM (PIIDUZ 2018/19). LINE 1: IMPLEMENT ACTIVE METHODOLOGIES TO ACHIEVE AN IMPROVEMENT OF THE TEACHING-LEARNING PROCESS, DEVELOP EDUCATIONAL INNOVATION EXPERIENCES BASED ON NEW TECHNOLOGIES, WITH THE OBJECTIVE TO IMPROVE THE CURRICULUM OF SUBJECTS AND IMPROVE METHODOLOGIES AND ASSOCIATED RESOURCES. REFERENCE PROJECT: PIIDUZ_18_173. THE AUTHOR ALSO WANTS TO THANK THE SANTANDER BANK-UNIVERSITY OF ZARAGOZA CHAIR BY THE SANTANDER AWARD RECEIVED IN ITS EIGHTH & TENTH EDITION. THIS AWARD IS INTENDED TO RECOGNIZE THE ACTIONS AND HIGHLIGHTED RESULTS IN THE USE OF ICT IN EDUCATIONAL INNOVATION THAT CONTRIBUTE SUBSTANTIALLY TO THE IMPROVEMENT OF THE QUALITY OF UNIVERSITY EDUCATION.; IN THE SAME WAY, HE WANTS TO THANKS THE EDUTEC ASSOCIATION (ASSOCIATION FOR THE DEVELOPMENT OF EDUCATIONAL TECHNOLOGY AND NEW TECHNOLOGIES APPLIED TO EDUCATION) AND THE FOUNDATION "D<SUP>A</SUP> MARIA PAULA ALONSO DE RUIZ MARTINEZ" FOR THE AWARD GRANTED. THE PURPOSE OF THIS INTERNATIONAL AWARD IS THE DEVELOPMENT AND PROMOTION OF EDUCATIONAL TECHNOLOGY IN SPAIN, PORTUGAL AND LATIN AMERICA, CONSIDERING ANY EDUCATIONAL LEVEL (CHILDREN, PRESCHOOL, PRIMARY, SECONDARY, HIGH SCHOOL, TRAINING CYCLES AND HIGHER EDUCATION). ITS OBJECTIVE IS TO INCREASE THE PROMOTION OF TEACHING EXPERIENCES AND COOPERATION FOR THE DISSEMINATION OF EDUCATIONAL PROGRAMS, AS WELL AS THE SUPPORT FOR EXPERIMENTATION AND RESEARCH IN THE FIELD OF THE APPLICATION OF EDUCATIONAL TECHNOLOGIES.
THE AUTHORS APPRECIATE THE FINANCIAL SUPPORT PROVIDED BY THE UNIVERSITY OF ZARAGOZA FOR THE DEVELOPMENT OF THE PRESENT WORK, BY MEANS OF THE EDUCATIONAL INNOVATION PROGRAM (PIIDUZ 2018/19). LINE 1: IMPLEMENT ACTIVE METHODOLOGIES TO ACHIEVE AN IMPROVEMENT OF THE TEACHING-LEARNING PROCESS, DEVELOP EDUCATIONAL INNOVATION EXPERIENCES BASED ON NEW TECHNOLOGIES, WITH THE OBJECTIVE TO IMPROVE THE CURRICULUM OF SUBJECTS AND IMPROVE METHODOLOGIES AND ASSOCIATED RESOURCES. REFERENCE PROJECT: PIIDUZ_18_173.
WE WOULD LIKE TO THANK A. BRAUNEIS, M. DIAZ, A. SALTARELLI, J. CASH, AND THE RIEDEL-KRUSE LAB. THIS WORK WAS SUPPORTED BY NSF CYBERLEARNING #1324753.
THIS WORK WAS SUPPORTED IN PART BY THE EUROPEAN RESEARCH CONSORTIUM FOR INFORMATICS AND MATHEMATICS (ERCIM) "ALAIN BENOUSSAN" FELLOWSHIP PROGRAMME UNDER CONTRACT 2019-40, AND IN PART BY THE COLOR AND VISUAL COMPUTING LABORATORY, DEPARTMENT OF COMPUTER SCIENCE, NTNU, GJOVIK.
THIS RESEARCH WAS FUNDED BY UNED THROUGH PROJECTS FILE (2019V/PUNED/004) AND SMARTTRAFFIC (2019V/EUIN-UNED/003), BY THE MINISTRY OF ECONOMY AND COMPETITIVENESS (MINISTERIO DE ECONOMIA Y COMPETITIVIDAD, MINECO), THROUGH THE RED TEMATICA ESPANOLA DE ANALITICA DE APRENDIZAJE, SPANISH NETWORK OF LEARNING ANALYTICS (SNOLA, RED2018-102725-T), AND BY THE REGION OF MADRID THROUGH THE PROJECT E-MADRID-CM (P2018/TCS-4307).
THIS RESEARCH WAS ALSO SUPPORTED BY THE RESEARCH INCENTIVE FUND ACTIVITY CODE #R18051 BY ZAYED UNIVERSITY, ABU DHABI, UNITED ARAB EMIRATES.
THIS PAPER REPORTS FINDINGS FROM A HORIZON 2020 FUNDED PROJECT (CONTRACT 687772). WE ACKNOWLEDGE THE SUPPORT OF COLLEAGUES INVOLVED IN THE PROJECT FROM NOTTINGHAM TRENT UNIVERSITY (UK), UNIVERSITY OF NOTTINGHAM (UK), ATOS SPAIN, UNIVERSITY OF EAST LONDON (UK), POLO EUROPEO DELLA CONOSCENZA (ITALY), CONSEJERIA DE EDUCACION_ JUNTA DE CASTILLA Y LEON (SPAIN), LA COMETA DEL SUD (ITALY), FONDAZIONE MONDO DIGITALE (ITALY). WE ALSO THANK THE CHILDREN AND TEACHERS AT NOTTINGHAM BLUECOAT ACADEMY (UK), THE TRINITY CATHOLIC SCHOOL (UK), IC RITA LEVI MONTALCINI SCHOOL (ITALY), I.C. LEONARDO DA VINCI (ITALY), BUSSOLENGO (ITALY), I.C. DON L. MILANI, SOMMACAMPAGNA (ITALY), I CIRCOLO CAVA DE' TIRRENI (ITALY), MIGUEL DE CERVANTES (SPAIN).
OPEN ACCESS FUNDING PROVIDED BY GRAZ UNIVERSITY OF TECHNOLOGY. THE FIRST AUTHOR IS PARTIALLY FUNDED VIA THE COMET PROGRAM, MANAGED BY THE AUSTRIAN RESEARCH PROMOTION AGENCY (FFG) UNDER THE AUSPICES OF THE AUSTRIAN FEDERAL MINISTRY OF TRANSPORT, INNOVATION AND TECHNOLOGY, THE AUSTRIAN FEDERAL MINISTRY OF ECONOMY, FAMILY AND YOUTH AND BY THE STATE OF STYRIA. THE SECOND AUTHOR IS FUNDED IN PART BY NSF GRANTS 1917955 AND 1822831.
THIS MANUSCRIPT WAS SUPPORTED BY FUNDING FROM THE NATIONAL SCIENCE FOUNDATION (DRL#1916417). ANY OPINIONS, FINDINGS, CONCLUSIONS, OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHOR AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION.
THIS WORK WAS SUPPORTED BY MINISTRY OF SCIENCE AND TECHNOLOGY OF THE PEOPLE'S REPUBLIC OF CHINA (2019AAA0105403) AND NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (61907038).
THE COVENANT UNIVERSITY CENTER FOR RESEARCH, INNOVATION AND DISCOVERIES (CUCRID) IS DEEPLY APPRECIATED FOR THEIR SUPPORT TOWARDS THE PUBLICATION OF THIS ARTICLE.
THIS WORK WAS SUPPORTED IN PART BY THE IES EMILIO JIMENO DE CALATAYUD (ZARAGOZA) AND IN PART BY THE DRA. COVADONGA RODRIGO.
THIS WORK WAS CO-FUNDED BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE PROJECT E-MADRID-CM (S2018/TCS-4307) WITH STRUCTURAL FUNDS (FSE AND FEDER), AND THE SPANISH NATIONAL RESEARCH AGENCY (AEI), THROUGH THE PROJECT VISAIGLE (TIN2017-85797-R) WITH ERDF FUNDS. THE AUTHORS ALSO ACKNOWLEDGE THE SUPPORT FROM THE INDUSTRIAL ENGINEERING SCHOOL OF UNED WITH THE 2020-IEQ13 GRANT.
THIS RESEARCH WORK HAS THE SUPPORT OF THE RESEARCH SUPPORT FOUNDATION OF THE FEDERAL DISTRICT (FAPDF).
THIS WORK WAS SUPPORTED BY THE EUROPEAN UNION, WITH THE ERASMUS+ KA1 PROGRAMME FOR STUDENT MOBILITY AND ERASMUS+ KA201 INNOVATIVE EDUCATIONAL ROBOTICS STRATEGIES FOR PRIMARY SCHOOL EXPERIENCES PROJECT (2019-1-IT02KA201-063073); THE ITALIAN MINISTRY OF EDUCATION (MINISTERO DELL'ISTRUZIONE, DELL'UNIVERSITA E DELLA RICERCA) WITH PROGRAMME FONDI STRUTTURALI EUROPEI-PROGRAMMA OPERATIVO NAZIONALE PER LA SCUOLA, COMPETENZE E AMBIENTI PER L'APPRENDIMENTO 2014-2020 ASSE I-ISTRUZIONE-FONDO SOCIALE EUROPEO-OBIETTIVO SPECIFICO 10.1-AZIONE 10.1.1 SOTTOAZIONE 10.1.1A-PON INCLUSIONE SOCIALE E LOTTA AL DISAGIO; AND ITALIAN DEPARTMENT FOR GENDER EQUALITY (DIPARTIMENTO PER LE PARI OPPORTUNITA DELLA PRESIDENZA DEL CONSIGLIO DEI MINISTRI) WITH PROGRAMME IN ESTATE SI IMPARANO LE STEM.
THIS RESEARCH IS SUPPORTED BY FACULTY OF INDUSTRIAL TECHNOLOGY AND MANAGEMENT, KING MONGKUT'S UNIVERSITY OF TECHNOLOGY NORTH BANGKOK, PRACHIN-BURI CAMPUS, THAILAND.
CO-FUNDED BY THE ERASMUS+ PROGRAMME OF THE EUROPEAN UNION. THE EUROPEAN COMMISSION SUPPORT FOR THE PRODUCTION OF THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS WHICH REFLECTS THE VIEWS ONLY OF THE AUTHORS, AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS WORK WAS SUPPORTED IN PART BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANTS 1447788, 1704074, 1757916, AND 1834251, IN PART BY THE ARMY RESEARCH OFFICE (W911NF1810344), IN PART BY THE INTEL CORPORATION, AND IN PART BY THE DIGITAL TECHNOLOGY CENTER AT THE UNIVERSITY OF MINNESOTA. (CORRESPONDING AUTHOR: AGORITSA POLYZOU.)
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE EC H2020 PROJECT RAGE (REALISING AND APPLIED GAMING ECO-SYSTEM); HTTP://WWW.RAGEPROJECT.EU/; GRANT AGREEMENT NO 644187. THIS DOCUMENT REFLECTS ONLY THE VIEWS OF THE AUTHORS AND THE EUROPEAN COMMISSION IS NOT RESPONSIBLE FOR ANY USE THAT MAY BE MADE OF THE INFORMATION IT CONTAINS.
THIS RESEARCH IS SUPPORTED BY THE UNIVERSITY OF PARDUBICE, SGS_2018_019 PROJECT.
THIS WORK WAS SUPPORTED IN PART BY THE SAMSUNG-UNIVERSIDADE FEDERAL DO AMAZONAS (UFAM) PROJECT FOR EDUCATION AND RESEARCH (SUPER), ACCORDING TO ARTICLE 48 OF DECREE NO. 6.008/2006 [SUPERINTENDENCIA DA ZONA FRANCA DE MANAUS (SUFRAMA)], IN PART BY SAMSUNG ELECTRONICS OF AMAZONIA LTD., UNDER THE TERMS OF FEDERAL LAW NO. 8.387/1991, UNDER AGREEMENT 001/2020 AND AGREEMENT 003/2019, SIGNED WITH THE FEDERAL UNIVERSITY OF AMAZONAS AND FUNDACAO DE APOIO AO ENSINO, PESQUISA, EXTENSAO E INTERIORIZACAO DO IFAM (FAEPI), BRAZIL, IN PART BY THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR-BRAZIL (CAPES) UNDER FINANCE CODE 001, AND IN PART BY THE CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTIFICO E TECNOLOGICO-BRAZIL (CNPQ) THROUGH THE SUPPORT TO ELAINE OLIVEIRA UNDER PROCESS 308513/2020-7.
THE AUTHORS WISH TO THANK THE FIELD STAFF AT OXFORD POLICY MANAGEMENT INDIA PVT LTD FOR THE VERY COMPREHENSIVE TRAINING AND STRONG INITIATION OF FIELDWORK. THE AUTHORS WOULD LIKE TO THANK KERRY SCOTT AND THE QUALITATIVE TEAM FOR THEIR WORK ON THE COGNITIVE INTERVIEW WORK OF THE SURVEY QUESTIONS. THE AUTHORS ARE GRATEFUL TO THE ASHA WORKERS IN MADHYA PRADESH, WHO GENEROUSLY PROVIDED THEIR TIME AND INSIGHTS TO MAKE THIS RESEARCH POSSIBLE. WE ADDITIONALLY WISH TO THANK DIVA DHAR, SUNEETA KRISHNAN, NEETA GOEL, SUHEL BIDANI, AND RAHUL MULLICK OF THE BILL AND MELINDA GATES FOUNDATION FOR THEIR GUIDANCE AND SUPPORT. THIS RESEARCH WOULD NOT HAVE BEEN POSSIBLE WITHOUT THEM [OPP1179252].
THIS WORK WAS SUPPORTED BY THE MICROSOFT RESEARCH ASIA THROUGH THE GRANT OF THE 2020 MSRA COLLABORATIVE RESEARCH (CORE16).
THIS STUDY WAS SUPPORTED BY THE CHINA NATIONAL SOCIAL SCIENCE GRANT FOR THE PROJECT TITLED THEORY BUILDING AND EMPIRICAL STUDY ON BLENDED LEARNING (BCA 1 80084)
THIS RESEARCH WAS FUNDED IN PART UNDER GRANT SCIENCE FOUNDATION IRELAND GRANT 13/RC/2094 TO LERO -THE IRISH SOFTWARE RESEARCH CENTRE (WWW.LERO.IE), HEA/NF SATLE 2019 FUNDING FROM THE IRISH NATIONAL FORUM FOR THE ENHANCEMENT OF TEACHING AND LEARNING IN HIGHER EDUCATION, AND UNDER THE GRANT "BANDO PER L'INTERNAZIONALIZZAZIONE DELLA RICERCA -ANNO 2018" FROM THE BANK FOUNDATION COMPAGNIA DI SAN PAOLO.
THIS RESEARCH WAS FUNDED BY WRITING LAB, TECLABS UNIT OF TECNOLOGICO DE MONTERREY, MEXICO.
WE THANK MARIAN RUSHDY, NAVEED MOHAMMED, AND OUR OTHER COLLABORATORS AT VANDERBILT UNIVERSITY, STANFORD UNIVERSITY, SALEM STATE UNIVERSITY, SRI INTERNATIONAL, AND ETS. THIS RESEARCH IS SUPPORTED BY NSF GRANT #1640199.
WE THANK ALL THE AUTHORS WHO SUBMITTED THEIR ABSTRACTS AND MANUSCRIPTS. WE ALSO THANK ALL THE REVIEWERS FOR THEIR PRECIOUS TIME AND INFORMATIVE COMMENTS DURING THE PAPER REVIEW PROCESS. WE WOULD LIKE TO ESPECIALLY EXPRESS OUR APPRECIATION TO THE EDITORS-IN-CHIEF, PROF. DOROTHY CHUN AND PROF. TRUDE HEIFT, AND THE MANAGING EDITOR, MS. SUSANNE DEVORE, FOR THEIR HELP AND GUIDANCE. WE ALSO THANK THE MINISTRY OF SCIENCE AND TECHNOLOGY (MOST), TAIWAN, ROC, UNDER THE PROJECT NUMBER MOST 109-2511-H-003-026 -.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE COUNCIL, TAIWAN UNDER PROJECT NUMBERS MOST-107-2511-H-224-007MY3, AND MOST-106-2511-S-224-005-MY3.
THIS RESEARCH WORK IS SUPPORTED BY NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NSFC: 61075048) AND SPECIAL FOUND FOR BEIJING COMMON CONSTRUCTION PROJECT.
THE AUTHORS THANK THE EDITORS AND ADVISORY BOARDS OF PHYSICAL REVIEW PHYSICS EDUCATION RESEARCH AND THE AMERICAN JOURNAL OF PHYSICS FOR THEIR SUGGESTIONS FOR POTENTIAL INTERVIEWEES/FOCUS GROUP MEMBERS. THE AUTHORS THANK THE FOCUS GROUP PARTICIPANTS AND INTERVIEWEES. CHASTITY AIKEN PROVIDED ADDITIONAL FEEDBACK AND PROOFREADING THAT WASMUCH APPRECIATED. WE ALSO THANK MICHIGAN STATE UNIVERSITY, THE OHIO STATE UNIVERSITY, AND THE UNIVERSITY OF OSLO. THIS STUDY WAS PARTIALLY FUNDED BY THE NORWEGIAN AGENCY FOR QUALITY ASSURANCE IN EDUCATION (NOKUT) WHICH SUPPORTS THE CENTRE FOR COMPUTING IN SCIENCE EDUCATION AT THE UNIVERSITY OF OSLO. THIS WORK WAS ALSO PARTIALLY SUPPORTED BY THE OHIO STATE UNIVERSITY CENTER ON EDUCATION AND TRAINING FOR EMPLOYMENT.
THE RESEARCH DESIGN AND DATA COLLECTION WERE CARRIED OUT IN THE ARK&APP PROJECT FUNDED BY THE MINISTRY OF EDUCATION OF NORWAY. WE THANK OYSTEIN GILJE, STEN LUDVIGSEN, AND ANNE EDWARDS FOR THEIR CONSTRUCTIVE COMMENTS ON AN EARLIER VERSION OF THIS ARTICLE.
THIS STUDY WAS SUPPORTED BY KL2 GRANT KL2 TR002374-03 AND GRANT UL1TR002373 TO UNIVERSITY OF WISCONSIN-MADISON INSTITUTE FOR CLINAL AND TRANSLATIONAL RESEARCH BY THE CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAM, THROUGH THE NATIONAL INSTITUTES OF HEALTH (NIH) NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES. THE CONTENT IS SOLELY THE RESPONSIBILITY OF THE AUTHORS AND DOES NOT NECESSARILY REPRESENT THE OFFICIAL VIEWS OF THE NIH.
THIS WORK WAS SUPPORTED BY A NATIONAL SCIENCE FOUNDATION GRANT (ACI-1443068) TOWARD DEVELOPING LEARNSPHERE.ORG.
THIS VISUAL PRIVACY WORKSHOP MODULE DESIGN AND DEVELOPMENT PROJECT WORK WAS SUPPORTED BY GOOGLE THROUGH THEIR IGNITECS PROGRAM FUNDING. WE WOULD LIKE TO THANK THE GOOGLE IGNITECS PROGRAM TEAM FOR PROVIDING US THE OPPORTUNITY TO EXECUTE THIS PROJECT WORK, AND FOR SPONSORING US TO DO THIS PILOT RESEARCH CASE STUDY.
AUTHOR APPRECIATES THE FINANCIAL SUPPORT PROVIDED BY THE UNIVERSITY OF ZARAGOZA FOR THE DEVELOPMENT OF THE PRESENT WORK, BY MEANS OF THE EDUCATIONAL INNOVATION PROGRAM (PIIDUZ 2018/19). LINE 1: IMPLEMENT ACTIVE METHODOLOGIES TO ACHIEVE AN IMPROVEMENT OF THE TEACHING-LEARNING PROCESS, DEVELOP EDUCATIONAL INNOVATION EXPERIENCES BASED ON NEW TECHNOLOGIES, WITH THE OBJECTIVE TO IMPROVE THE CURRICULUM OF SUBJECTS AND IMPROVE METHODOLOGIES AND ASSOCIATED RESOURCES. REFERENCE PROJECT: PIIDUZ_18_173. THE AUTHOR ALSO WANTS TO THANK THE SANTANDER BANK-UNIVERSITY OF ZARAGOZA CHAIR BY THE SANTANDER AWARD RECEIVED IN ITS EIGHTH & TENTH EDITION. THIS AWARD IS INTENDED TO RECOGNIZE THE ACTIONS AND HIGHLIGHTED RESULTS IN THE USE OF ICT IN EDUCATIONAL INNOVATION THAT CONTRIBUTE SUBSTANTIALLY TO THE IMPROVEMENT OF THE QUALITY OF UNIVERSITY EDUCATION.; IN THE SAME WAY, HE WANTS TO THANKS THE EDUTEC ASSOCIATION (ASSOCIATION FOR THE DEVELOPMENT OF EDUCATIONAL TECHNOLOGY AND NEW TECHNOLOGIES APPLIED TO EDUCATION) AND THE FOUNDATION "DMARIA PAULA ALONSO DE RUIZ MARTINEZ" FOR THE AWARD GRANTED. THE PURPOSE OF THIS INTERNATIONAL AWARD IS THE DEVELOPMENT AND PROMOTION OF EDUCATIONAL TECHNOLOGY IN SPAIN, PORTUGAL AND LATIN AMERICA, CONSIDERING ANY EDUCATIONAL LEVEL (CHILDREN, PRESCHOOL, PRIMARY, SECONDARY, HIGH SCHOOL, TRAINING CYCLES AND HIGHER EDUCATION). ITS OBJECTIVE IS TO INCREASE THE PROMOTION OF TEACHING EXPERIENCES AND COOPERATION FOR THE DISSEMINATION OF EDUCATIONAL PROGRAMS, AS WELL AS THE SUPPORT FOR EXPERIMENTATION AND RESEARCH IN THE FIELD OF THE APPLICATION OF EDUCATIONAL TECHNOLOGIES.
AUTHOR APPRECIATES THE FINANCIAL SUPPORT PROVIDED BY THE UNIVERSITY OF ZARAGOZA FOR THE DEVELOPMENT OF THE PRESENT WORK, BY MEANS OF THE EDUCATIONAL INNOVATION PROGRAM (PIIDUZ 2018/19). LINE 1: IMPLEMENT ACTIVE METHODOLOGIES TO ACHIEVE AN IMPROVEMENT OF THE TEACHING-LEARNING PROCESS, DEVELOP EDUCATIONAL INNOVATION EXPERIENCES BASED ON NEW TECHNOLOGIES, WITH THE OBJECTIVE TO IMPROVE THE CURRICULUM OF SUBJECTS AND IMPROVE METHODOLOGIES AND ASSOCIATED RESOURCES. REFERENCE PROJECT: PIIDUZ_18_173. THE AUTHOR ALSO WANTS TO THANK THE SANTANDER BANK-UNIVERSITY OF ZARAGOZA CHAIR BY THE SANTANDER AWARD RECEIVED IN ITS EIGHTH & TENTH EDITION. THIS AWARD IS INTENDED TO RECOGNIZE THE ACTIONS AND HIGHLIGHTED RESULTS IN THE USE OF ICT IN EDUCATIONAL INNOVATION THAT CONTRIBUTE SUBSTANTIALLY TO THE IMPROVEMENT OF THE QUALITY OF UNIVERSITY EDUCATION. IN THE SAME WAY, HE WANTS TO THANKS THE EDUTEC ASSOCIATION (ASSOCIATION FOR THE DEVELOPMENT OF EDUCATIONAL TECHNOLOGY AND NEW TECHNOLOGIES APPLIED TO EDUCATION) AND THE FOUNDATION "D<SUP>A</SUP> MARIA PAULA ALONSO DE RUIZ MARTINEZ" FOR THE AWARD GRANTED. THE PURPOSE OF THIS INTERNATIONAL AWARD IS THE DEVELOPMENT AND PROMOTION OF EDUCATIONAL TECHNOLOGY IN SPAIN, PORTUGAL AND LATIN AMERICA, CONSIDERING ANY EDUCATIONAL LEVEL (CHILDREN, PRESCHOOL, PRIMARY, SECONDARY, HIGH SCHOOL, TRAINING CYCLES AND HIGHER EDUCATION). ITS OBJECTIVE IS TO INCREASE THE PROMOTION OF TEACHING EXPERIENCES AND COOPERATION FOR THE DISSEMINATION OF EDUCATIONAL PROGRAMS, AS WELL AS THE SUPPORT FOR EXPERIMENTATION AND RESEARCH IN THE FIELD OF THE APPLICATION OF EDUCATIONAL TECHNOLOGIES.
ISRAELI MINISTRY OF SCIENCE AND TECHNOLOGY; WEIZMANN INSTITUTE OF SCIENCE; BEN GURION UNIVERSITY AT THE NEGEV; TEL AVIV UNIVERSITY
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE TAIF UNIVERSITY RESEARCHERS SUPPORTING PROJECT NUMBER (TURSP-2020/125), TAIF UNIVERSITY, TAIF, SAUDI ARABIA.
THIS WORK IS SUPPORTED FROM THE NORWEGIAN RESEARCH COUNCIL UNDER THE PROJECTS FUTURE LEARNING (NUMBER: 255129/H20) AND XDESIGN (290994/F20). THIS WORK WAS CARRIED OUT DURING THE TENURE OF AN ERCIM "ALAIN BENSOUSSAN" FELLOWSHIP PROGRAMME.
WE WOULD LIKE TO THANK DR. MARVIN COHEN AT NORTHWESTERN UNIVERSITY'S SCHOOL OF EDUCATION AND SOCIAL POLICY FOR AN INSPIRING COLLABORATION ON THE DEVELOPMENT OF THIS UNIT, AND FOR ALLOWING US TO WORK IN HIS CLASSROOM AND WITH HIS STUDENTS. WE WOULD LIKE TO THANK THE NATIONAL SCIENCE FOUNDATION FOR FUNDING THIS RESEARCH UNDER NSF GRANT 1441552. THE OPINIONS EXPRESSED IN THIS ARTICLE ARE THE OPINIONS OF THE AUTHORS, AND NOT THOSE OF THE NSF.
WE ARE ESPECIALLY GRATEFUL TO THE BIOMEDICAL AND HEALTH SCIENCES TEACHERS FOR THEIR TIME AND DEDICATION. THIS WORK WAS PARTIALLY FUNDED BY THE SPANISH MINISTRY OF SCIENCE AND INNOVATION, EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) (TIN-2013-47153-C03-0X, X = 1, 2, 3) AND THE REGIONAL GOVERNMENT OF MADRID UNDER THE RESEARCH NETWORK MA2VICMR (S2009/TIC-1542). THE SING GROUP THANKS THE CITI (CENTRO DE INVESTIGACION, TRANSFERENCIA E INNOVACION) OF THE UNIVERSITY OF VIGO FOR HOSTING ITS IT INFRASTRUCTURE. H. LOPEZ-FERNANDEZ IS SUPPORTED BY A POST-DOCTORAL FELLOWSHIP FROM XUNTA DE GALICIA.
THIS WORK WAS SUPPORTED IN PART BY THE EUROPEAN RESEARCH PROJECT UNDER GRANT ERC-2015-STG-679528 POSTDATA, IN PART BY THE UNED THROUGH THE INDEPENDENT THINKING-JOVENES INVESTIGADORES 2019 PROJECT EFFICIENT SCHEDULING OF CONTAINERS (FILE) UNDER GRANT 2019-PUNED-0007, IN PART BY THE MINISTRY OF ECONOMY AND COMPETITIVENESS (MINISTERIO DE ECONOMIA Y COMPETITIVIDAD, MINECO) THROUGH THE RED TEMATICA ESPANOLA DE ANALITICA DE APRENDIZAJE, SPANISH NETWORK OF LEARNING ANALYTICS (SNOLA) UNDER GRANT RED2018-102725-T, AND IN PART BY THE REGION OF MADRID THROUGH THE PROJECT E-MADRID-CM UNDER GRANT P2018/TCS-4307.
THIS WORK WAS SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN, UNDER GRANT 106-2511-S-152-006-MY3, 2017-2020.
THIS RESEARCH WAS FUNDED BY ICE-UPC.
THIS RESEARCH IS SUPPORTED BY THE ADAPT CENTRE FOR DIGITAL CONTENT TECHNOLOGY UNDER THE SFI RESEARCH CENTRE'S PROGRAM (GRANT 13/RC/2106) AND IS CO-FUNDED UNDER THE EUROPEAN REGIONAL DEVELOPMENT FUND.
RESEARCH GRANTS COUNCIL, UNIVERSITY GRANTS COMMITTEE, HONG KONG SPECIAL ADMINISTRATIVE REGION OF THE PEOPLE'S REPUBLIC OF CHINA, GRANT/AWARD NUMBER: HKU 27401114
THIS WORK WAS SUPPORTED BY THE ERASMUS+ KEY ACTION 2 STRATEGIC PARTNERSHIPS KA203, FUNDED BY THE EUROPEAN COMMISSION, UNDER GRANT 2016-1-ES01-KA203-025452.
THIS STUDY WAS FUNDED BY AN INTERNAL GRANT FROM DEPARTMENT OF ANESTHESIOLOGY, PERIOPERATIVE AND PAIN MEDICINE, STANFORD UNIVERSITY SCHOOL OF MEDICINE.
THE AUTHOR APPRECIATES THE FINANCIAL SUPPORT PROVIDED BY THE UNIVERSITY OF ZARAGOZA FOR THE DEVELOPMENT OF THE PRESENT WORK, BY MEANS OF THE EDUCATIONAL INNOVATION PROGRAM (PIIDUZ 2019/20). LINE 1: IMPLEMENT ACTIVE METHODOLOGIES TO ACHIEVE AN IMPROVEMENT OF THE TEACHING-LEARNING PROCESS, DEVELOP EDUCATIONAL INNOVATION EXPERIENCES BASED ON NEW TECHNOLOGIES, WITH THE OBJECTIVE TO IMPROVE THE CURRICULUM OF SUBJECTS AND IMPROVE METHODOLOGIES AND ASSOCIATED RESOURCES. REFERENCE PROJECT: PIIDUZ_19_268. THE AUTHOR ALSO WANTS TO THANK THE SANTANDER BANK-UNIVERSITY OF ZARAGOZA CHAIR BY THE SANTANDER AWARD RECEIVED IN ITS EIGHTH & TENTH EDITION. THIS AWARD IS INTENDED TO RECOGNIZE THE ACTIONS AND HIGHLIGHTED RESULTS IN THE USE OF ICT IN EDUCATIONAL INNOVATION THAT CONTRIBUTE SUBSTANTIALLY TO THE IMPROVEMENT OF THE QUALITY OF UNIVERSITY EDUCATION.; IN THE SAME WAY, HE WANTS TO THANKS THE ASSOCIATION EDUTEC (ASSOCIATION FOR THE DEVELOPMENT OF EDUCATIONAL TECHNOLOGY AND NEW TECHNOLOGIES APPLIED TO EDUCATION) AND THE FOUNDATION "D<SUP>A</SUP> MARIA PAULA ALONSO DE RUIZ MARTINEZ" FOR THE AWARD GRANTED. THE PURPOSE OF THIS INTERNATIONAL AWARD IS THE DEVELOPMENT AND PROMOTION OF EDUCATIONAL TECHNOLOGY IN SPAIN, PORTUGAL AND LATIN AMERICA, CONSIDERING ANY EDUCATIONAL LEVEL (CHILDREN, PRESCHOOL, PRIMARY, HIGH SCHOOL, TRAINING CYCLES AND HIGHER EDUCATION). ITS OBJECTIVE IS TO INCREASE THE PROMOTION OF TEACHING EXPERIENCES AND COOPERATION FOR THE DISSEMINATION OF EDUCATIONAL PROGRAMS, AS WELL AS THE SUPPORT FOR EXPERIMENTATION AND RESEARCH IN THE FIELD OF THE APPLICATION OF EDUCATIONAL TECHNOLOGIES.
THIS WORK HAS BEEN PARTIALLY FUNDED BY THE PROJECT OPEN DATA FOR ALL: AN API-BASED INFRASTRUCTURE FOR EXPLOITING ONLINE DATA SOURCES GIVEN BY THE SPANISH MINISTERIO DE ECONOMIA, INDUSTRIA Y COMPETITIVIDAD (REF. TIN2016-75944-R) AND A DOCTORAL GRANT FROM THE UNIVERSITAT OBERTA DE CATALUNYA (UOC).
THIS WORK WAS SUPPORTED BY THE MOE (MINISTRY OF EDUCATION IN CHINA) PROJECT OF HUMANITIES AND SOCIAL SCIENCES [GRANT NUMBER 15YJC880134].
THIS RESEARCH WORK IS SUPPORTED BY THE NATIONAL SOCIAL SCIENCE FOUNDATION OF CHINA "A BIG-DATA-BASED EMPIRICAL STUDY ON ANALYSIS, EVALUATION AND INTERVENTION IN CSCL" (NO: BCA170077).
THE AUTHORS APPRECIATE THE FINANCIAL SUPPORT PROVIDED BY THE UNIVERSITY OF ZARAGOZA FOR THE DEVELOPMENT OF THE PRESENT WORK, BY MEANS OF THE EDUCATIONAL INNOVATION PROGRAM (PIIDUZ 2017/18). LINE 1: IMPLEMENT ACTIVE METHODOLOGIES TO ACHIEVE AN IMPROVEMENT OF THE TEACHING-LEARNING PROCESS, DEVELOP EDUCATIONAL INNOVATION EXPERIENCES BASED ON NEW TECHNOLOGIES, WITH THE OBJECTIVE TO IMPROVE THE CURRICULUM OF SUBJECTS AND IMPROVE METHODOLOGIES AND ASSOCIATED RESOURCES. REFERENCE PROJECT: PIIDUZ_17_059.
THE AUTHOR WOULD LIKE TO THANK THE EUROPEAN COMMISSION (EC) FOR SUPPORTING THIS WORK UNDER ERASMUS+ PROJECT SQELT GRANT 2017-1-DE01-KA203-003527. HOWEVER, THE COMMISSION'S SUPPORT FOR PRODUCING THIS PUBLICATION DOES NOT CONSTITUTE AN ENDORSEMENT OF THE CONTENTS, WHICH REFLECT THE VIEWS ONLY OF THE AUTHOR AND THE COMMISSION CANNOT BE HELD RESPONSIBLE FOR ANY USE WHICH MAY BE MADE OF THE INFORMATION CONTAINED THEREIN.
THIS RESEARCH IS SUPPORTED BY GRANTS 1927595 AND 1906059 FROM THE NATIONAL SCIENCE FOUNDATION (UNITED STATES OF AMERICA). ANY OPINIONS, FINDINGS, OR CONCLUSIONS ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REPRESENT OFFICIAL POSITIONS OF THE NATIONAL SCIENCE FOUNDATION.
THIS WORK WAS SUPPORTED BY THE OFFICE OF THE PROVOST AT THE UNIVERSITY OF MICHIGAN UNDER THE EXPLORING LEARNING ANALYTICS PROGRAM.
THE RESEARCH PRESENTED IN THIS PAPER IS PARTLY FINANCED BY THE EUROPEAN UNION (H2020 SLIDEWIKI PROJECT, PR. NO: 688095, AND H2020 LAMBDA, PR. NO: 809965), AND PARTLY BY THE MINISTRY OF SCIENCE AND TECHNOLOGICAL DEVELOPMENT OF REPUBLIC OF SERBIA (SOFIA PROJECT, PR. NO: TR-32010).
THE AUTHORS WOULD LIKE TO THANK THE USC SCHOOL OF PHARMACY FOR PROVIDING THE NECESSARY FINANCIAL, HUMAN AND TECHNOLOGICAL RESOURCES TO SUPPORT OUR SOFTWARE INNOVATION AND IMPLEMENTATION.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: PURDUE RESEARCH FOUNDATION RESEARCH GRANT.
THIS RESEARCH WAS SUPPORTED BY THE AUSTRALIAN RESEARCH COUNCIL UNDER GRANT NUMBER DP190102286.
WE THANK MR. JEAN-CHRISTOPHE FROISSARD FOR ASSISTANCE IN DEVELOPING THE INSTRUMENT AND CONDUCTING THE TEACHER INITIAL AND FOLLOWUP INTERVIEWS. WE ALSO THANK MACQUARIE UNIVERSITY FOR A TEACHING DELIVERY GRANT THAT SUPPORTED THIS PROJECT.
THIS WORK WAS SUPPORTED IN PART BY THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA, SHANGHAI SCIENCE, UNDER GRANT 61977058, IN PART BY THE TECHNOLOGY INNOVATION ACTION PLAN UNDER GRANT 20511101600, AND IN PART BY THE FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES UNDER GRANT 41300-20101-222696. (CORRESPONDING AUTHOR: BO JIANG.)
THIS WORK WAS FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN201345303-P "ICT- FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION".
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE (JSPS), GRANT-IN-AID FOR SCIENTIFIC RESEARCH (KAKEN, 17H00825: 2017-2019).
WE WOULD LIKE TO THANK THE BRAZILIAN AGENCIES FAPESP (GRANTS 2016/17078-0), CNPQ, AND CAPES.
THIS WORK WAS FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P "ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION".
THIS WORK WAS FUNDED BY THE FRENCH DRUG AGENCY (ANSM, AGENCE NATIONALE DE SECURITE DU MEDICAMENT ET DES PRODUITS DE SANTE) THROUGH THE RAMIPA PROJECT (AAP-2016).
THIS WORK WAS FUNDED BY ELITE-CM S2015/HUM-3426, REDR+HUMAN (TIN2014-52010-R) AND CETRO+SPEC (TIN2017-88092-R) PROJECTS.
THIS STUDY IS PART OF THE RESEARCH PROJECT INNOVATIVE DATA VISUALIZATION AND VISUAL-NUMERIC LITERACY (INDVIL, WWW.INDVIL.ORG). THE PROJECT IS SUPPORTED BY THE RESEARCH COUNCIL OF NORWAY UNDER THE SAMKUL PROGRAMME (CULTURAL CONDITIONS UNDERLYING SOCIAL CHANGE), AS WELL AS BY THE NORWEGIAN MEDIA AUTHORITY.
WE WOULD LIKE TO THANK THE ANONYMOUS REVIEWERS FOR THEIR VALUABLE FEEDBACK AND THE UNIVERSITY OF TRENTO (ITALY). THIS WORK WAS FUNDED BY THE FEDERAL MINISTRY OF EDUCATION AND RESEARCH (BMBF), GERMANY, WITHIN THE INNOPROFILE TRANSFER RESEARCH GROUP "4DNDVIS"
THIS WORK WAS PARTIALLY FUNDED BY GRANT NUMBER: 826078 H2020 EU PROJECT FEATURECLOUD
THE PRESENTED WORK WAS PERFORMED UNDER A PROGRAMME OF ESA PECS 1 CALLED "DEVELOPMENT OF A SUPPORTING OPTICAL SENSOR FOR HAMR OBJECTS CATALOGUING AND RESEARCH (HAMROPTSEN)", CONTRACT NO. 4000117170/16/NL/NDE.
THIS RESEARCH WAS FUNDED BY THE ACADEMY OF FINLAND DIGITAL HUMANITIES PROGRAMME, PROJECT 'INTERFACING STRUCTURED AND UNSTRUCTURED DATA IN SOCIOLINGUISTIC RESEARCH ON LANGUAGE CHANGE (STRATAS)', GRANT NUMBER 293441, AND BY THE ACADEMY OF FINLAND PROJECT PRIVATE AND SHARED GAZE: ENABLERS, APPLICATIONS, EXPERIENCES (GASP), GRANT NUMBER 2501287895.
THIS WORK HAS BEEN PARTIALLY SUPPORTED BY JSPS KAKENHI (GRANT NUMBERS 19H04120, 16H02825, AND 26730061). THIS WORK HAS ALSO BEEN CONDUCTED UNDER THE SUPPORT BY JOINT RESEARCH PROGRAM NO. 398 AT CSIS, THE UNIVERSITY OF TOKYO.
RESEARCH REPORTED IN THIS PUBLICATION WAS SUPPORTED BY GRANTS FROM THE NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES OF THE NATIONAL INSTITUTES OF HEALTH UNDER AWARD NUMBERS P30GM110703 AND P20GM103424.
THE AUTHORS WOULD LIKE TO ACKNOWLEDGE PROFESSOR JOSE MOREIRA FOR HIS CONTRIBUTION. THIS WORK WAS PARTIALLY FUNDED BY THE SMART GREEN HOMES PROJECT [POCI-01-0247-FEDER-007678], A CO-PROMOTION BETWEEN BOSCH TERMOTECNOLOGIA S.A. AND THE UNIVERSITY OF AVEIRO. IT IS FINANCED BY PORTUGAL 2020 UNDER THE COMPETITIVENESS AND INTERNATIONALIZATION OPERATIONAL PROGRAM, AND BY THE EUROPEAN REGIONAL DEVELOPMENT FUND. THIS STUDY WAS ALSO SUPPORTED BY IEETA - INSTITUTE OF ELECTRONICS AND INFORMATICS ENGINEERING OF AVEIRO, FUNDED BY NATIONAL FUNDS THROUGH THE FCT - FOUNDATION FOR SCIENCE AND TECHNOLOGY, IN THE CONTEXT OF THE PROJECT UID/CEC/00127/2019.
WE WOULD LIKE TO THANK THE BRAZILIAN AGENCIES FAPESP (GRANTS 2016/17078-0), CNPQ, AND CAPES.
THIS RESEARCH WAS PARTIALLY SUPPORTED BY THE JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE (JSPS), GRANT-IN-AID FOR SCIENTIFIC RESEARCH (KAKEN, 17H00825: 2017-2019).
WE WOULD LIKE TO THANK THE ANONYMOUS REVIEWERS FOR THEIR VALUABLE FEEDBACK AND SUGGESTIONS TO IMPROVE THE PAPER. THIS WORK WAS FUNDED BY THE FEDERAL MINISTRY OF EDUCATION AND RESEARCH (BMBF), GERMANY, WITHIN THE INNOPROFILE TRANSFER RESEARCH GROUP "4DNDVIS"
WE ARE GRATEFUL TO THE MEMBERS OF THE RIEDEL-KRUSE AND TLTL LAB AT STANFORD UNIVERSITY, D. GILMOUR, AND THE INVOLVED TEACHERS AND STUDENTS. THIS PROJECT WAS SUPPORTED BY THE NSF CYBERLEARNING GRANT (#1324753), NSF AWARDS IIS-1216389, OCI-0753324 AND DUE-0938075, FURTHERMORE GRADUATE FELLOWSHIPS TO Z.H. (SIGF) AND E.B. (SGF).
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP17K00264.
THIS WORK WAS SUPPORTED BY JSPS KAKENHI GRANT NUMBER JP17K00152.
THE AUTHORS WISH TO THANK CHRIS SNOWDEN FOR THE DATA EXPLORATION CASE STUDY SHOWN IN FIG. 2. WE ALSO THANK OUR COLLEAGUES FLORIAN GUITTON AND DAVID AKROYD FROM THE DATA SCIENCE INSTITUTE, IMPERIAL COLLEGE LONDON FOR THEIR RECOMMENDATIONS AND FEEDBACK DURING THE DESIGN DISCUSSIONS. M. MOLINA-SOLANA WAS SUPPORTED BY THE EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER THE MARIE SKLODOWSKA-CURIE GRANT AGREEMENT NO 743623.
THIS WORK WAS SUPPORTED BY FCT (PORTUGUESE SCIENCE AND TECHNOLOGY FOUNDATION) THROUGH FOUNDING OF LASIGE RESEARCH UNIT, REF. UID/CEC/00408/2019 AND BIOISI RESEARCH UNIT, REF. UID/MULTI/04046/2019.
THE PROJECT INNOVATE (PROJECT NUMBER 19-06) IS FUNDED BY THE CITY OF VIENNA MUNICIPAL DEPARTMENT 23 ECONOMIC AFFAIRS, LABOUR AND STATISTICS WITHIN THE PROGRAM RESEARCH AT VIENNESE UNIVERSITIES OF APPLIED SCIENCES.
WE GRATEFULLY ACKNOWLEDGE THE SUPPORT OF PROF. EMERITUS HELMUT DENK, THE BIOBANK GRAZ, THE BBMRI.AT TEAM, THE EU PROJECTS FEATURECLOUD, EOSC-LIFE, EJP-RD, THE FWF PROJECT P32554 EXPLAINABLE AI AND THE CRITICAL REVIEW FROM OUR COLLEAGUES AT THE MEDICAL UNIVERSITY GRAZ.
WE WOULD LIKE TO THANK THE ANONYMOUS REVIEWERS FOR THEIR VALUABLE FEEDBACK. THIS WORK WAS FUNDED BY THE FEDERAL MINISTRY OF EDUCATION AND RESEARCH (BMBF), GERMANY, WITHIN THE INNOPROFILE TRANSFER RESEARCH GROUP "4DNDVIS"
THIS WORK WAS FUNDED BY THE DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA). THE VIEWS EXPRESSED ARE THOSE OF THE AUTHOR(S) AND DO NOT REFLECT THE OFFICIAL POLICY OR POSITION OF THE DEPARTMENT OF DEFENSE OR THE U.S. GOVERNMENT.
THIS WORK WAS FUNDED BY THE GERMAN FEDERAL MINISTRY OF EDUCATION AND RESEARCH (BMBF) AS PART OF THE CENTER FOR REFLECTED TEXT ANALYSIS "CRETA" AT THE UNIVERSITY OF STUTTGART. WE ALSO THANK OSARO GABRIEL FOR HIS WORK ON THE IMPLEMENTED PROTOTYPE AS PART OF HIS MASTER'S THESIS.
THIS WORK WAS PARTIALLY FUNDED BY THE HESSEN STATE MINISTRY FOR HIGHER EDUCATION, RESEARCH AND THE ARTS WITHIN THE PROGRAM "FORSCHUNG FUR DIE PRAXIS" AND WAS CONDUCTED WITHIN THE RESEARCH GROUP ON HUMAN-COMPUTER INTERACTION AND VISUAL ANALYTICS (HTTPS://VIS.H-DA.DE). THE PRESENTATION OF THIS WORK WAS SUPPORTED BY THE RESEARCH CENTER FOR DIGITAL COMMUNICATION & MEDIA INNOVATION OF THE DARMSTADT UNIVERSITY OF APPLIED SCIENCES.
THIS WORK IS PART OF THE SIMENS PROJECT WHICH IS SUPPORTED BY THE SENEGALESE HIGH STUDY AND RESEARCH MINISTRY THROUGH THE SCIENTIFIC AND TECHNIC RESEARCH IMPETUS FUNDING (FIRST), THE AFRICAN CENTER OF EXCELLENCE IN MATHEMATICS COMPUTER SCIENCE AND ICT (CEA-MITIC), AND THE PIERRE FABRE FOUNDATION.
THIS WORK WAS FUNDED BY ELITE-CM S2015/HUM-3426, REDR+HUMAN (TIN2014-52010-R) AND CETRO+SPEC (TIN2017-88092-R) PROJECTS.
THIS WORK IS PARTIALLY FUNDED BY THE PROJECT "PREVENZIONE 4.0" - FONDO ASILO MIGRAZIONE INTEGRAZIONE 2014/2020 - OS 1/ON 1 - PROG_2301. PATNER: REGIONE PUGLIA - SEZIONE SICUREZZA DEL CITTADINO, POLITICHE PER LE MIGRAZIONI E ANTIMAFIA SOCIALE, ARESS PUGLIA, UNIVERSITA DEGLI STUDI DI BARI ALDO MORO, NOVA ONLUS - CONSORZIO DI COOPERATIVE SOCIALI - SOCIETA COOPERATIVA SOCIALE
THIS WORK WAS SUPPORTED, IN PART, BY THE DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA) (CONTRACT NUMBER MEMEX (FA8750-14-C-0275)). THE VIEWS, OPINIONS, AND FINDINGS CONTAINED IN THIS REPORT ARE THOSE OF THE AUTHORS AND SHOULD NOT BE CONSTRUED AS AN OFFICIAL DEPARTMENT OF DEFENSE POSITION, POLICY, OR DECISION.
THIS WORK WAS SUPPORTED BY THE PEAK DISCIPLINE CONSTRUCTION PROJECT OF EDUCATION AT EAST CHINA NORMAL UNIVERSITY [GRANT NUMBER 16000 5154A5 15001/016/001]; SHANGHAI PUJIANG PROGRAM [GRANT NUMBER 14PJC034].
THIS STUDY WAS FINANCED IN PART BY THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR - BRASIL (CAPES) - FINANCE CODE 001.
THIS RESEARCH WAS SUPPORTED BY THE EUROPEAN COMMISSION THROUGH THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS" (588438-EPP-1-2017-1-EL-EPPKA2-KA).
THIS RESEARCH WAS PARTIALLY FUNDED BY MINISTERIO DE ECONOMIA Y COMPETITIVIDAD OF THE SPANISH GOVERNMENT THROUGH THE RESEARCH & DEVELOPMENT PROJECT ECOEC (EDU2014-51961-P), AND UNDER THE TERMS OF FPU2014-02298 RESEARCH CONTRACT AGREED BETWEEN MINISTERIO DE EDUCACION, CULTURA Y DEPORTE OF THE SPANISH GOVERNMENT AND RESEARCHER RAMON MONTES-RODRIGUEZ.
THIS RESEARCH WAS FUNDED BY THE EUROPEAN COMMISSION THROUGH THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS" (588438-EPP-1-2017-1-EL-EPPKA2-KA).
THIS PROJECT WAS SUPPORTED UNDER NATIONAL SCIENCE FOUNDATION AWARD DRL-1640199.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NO. 1535300 AND GRANT NO. BCC 14-517. THIS WORK WAS ALSO SUPPORTED IN PART BY THE HOLISTIC MODELLING OF EDUCATION (HOME) GRANT FROM THE MICHIGAN INSTITUTE FOR DATA SCIENCE (MIDAS). ANY OPINIONS, FINDINGS, AND CONCLUSIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THESE FUNDING AGENCIES.
NIGEL BOSCH WAS SUPPORTED BY POSTDOCTORAL RESEARCH FUNDING PROVIDED BY THE NATIONAL CENTER FOR SUPERCOMPUTING APPLICATIONS.
DAN DAVIS' RESEARCH IS SUPPORTED BY THE LEIDEN DELFT ERASMUS CENTRE FOR EDUCATION AND LEARNING.
THE WORK DESCRIBED IN THIS PAPER WAS SUPPORTED IN PART BY FUNDING FROM THE U.S. INSTITUTE OF EDUCATIONAL SCIENCES (IES), AWARD NUMBER R305A80622.
THIS RESEARCH WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P 'ICT-FLAG' (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION).
THIS RESEARCH WAS FUNDED BY THE EUROPEAN COMMISSION THROUGH THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS" (588438-EPP-1-2017-1-EL-EPPKA2-KA).
THIS RESEARCH WAS PARTIALLY FUNDED BY THE EUROPEAN COMMISSION THROUGH THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS" (588438-EPP-12017-1-EL-EPPKA2-KA).
THIS RESEARCH WAS FUNDED BY THE EUROPEAN COMMISSION THROUGH THE PROJECT "COLMOOC: INTEGRATING CONVERSATIONAL AGENTS AND LEARNING ANALYTICS IN MOOCS" (588438-EPP-1-2017-1-EL-EPPKA2-KA).
THE DATA REPORTED ON IN THIS ARTICLE WERE COLLECTED WITH FINANCIAL SUPPORT FROM A NEW YORK UNIVERSITY MOORE SLOANE DATA SCIENCE ENVIRONMENT SEED GRANT.
THIS STUDY WAS FINANCIALLY SUPPORTED BY JSPS KAKENHI GRANT NUMBER 16H0187.
THIS WORK WAS FINANCIALLY SUPPORTED BY AN IGNITE CHALLENGE MIDDLE AND HIGH SCHOOL MATH AWARD FROM THE NEW SCHOOLS VENTURE FUND AND BY CARNEGIE LEARNING, INC., THE EMPLOYER OF AUTHORS FANCSALI, RITTER, AND BERMAN.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE NATIONAL CANCER INSTITUTE, AWARD NUMBER R21CA149796 FOR THE ORIGINAL DATA COLLECTION. THE CONTENT IS SOLELY THE RESPONSIBILITY OF THE AUTHORS AND DOES NOT NECESSARILY REPRESENT THE OFFICIAL VIEWS OF THE NATIONAL CANCER INSTITUTE OR THE NATIONAL INSTITUTES OF HEALTH.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE BILL & MELINDA GATES FOUNDATION AND THE NATIONAL SCIENCE FOUNDATION (AWARD #1225741).
THIS MATERIAL IS BASED UPON WORK SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION UNDER GRANT NUMBERS 1629045 AND 1902647, INSTITUTE OF EDUCATION SCIENCES GRANT NUMBERS EDIES16C0014 AND EDIES15C0018, AND A P.E.O. SCHOLAR AWARD.
THIS WORK WAS FUNDED IN PART BY THE NATIONAL SCIENCE FOUNDATION (DRL-1661036, DRL-1713110), THE US ARMY RESEARCH LABORATORY, THE WISCONSIN ALUMNI RESEARCH FOUNDATION, AND THE OFFICE OF THE VICE CHANCELLOR FOR RESEARCH AND GRADUATE EDUCATION AT THE UNIVERSITY OF WISCONSIN-MADISON. THE OPINIONS, FINDINGS, AND CONCLUSIONS DO NOT REFLECT THE VIEWS OF THE FUNDING AGENCIES, COOPERATING INSTITUTIONS, OR OTHER INDIVIDUALS.
SADIA NAWAZ IS SUPPORTED BY THE RESEARCH TRAINING PROGRAM (RTP) SCHOLARSHIP, THE MELBOURNE RESEARCH SCHOLARSHIP, AND THE SCIENCE OF LEARNING RESEARCH CENTER (SLRC) TOP-UP SCHOLARSHIP. ANY OPINIONS OR RECOMMENDATIONS EXPRESSED IN THIS MATERIAL ARE THOSE OF THE AUTHORS AND DO NOT NECESSARILY REFLECT THE VIEWS OF THE FUNDING AGENCIES.
WE ARE GRATEFUL TO THE OFFICE OF THE VICE PROVOST FOR ADVANCES IN LEARNING AT HARVARD UNIVERSITY FOR THOUGHTFUL LEADERSHIP AND SUPPORT.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM THE ACADEMY OF FINLAND [GRANT NUMBERS 292466 AND 318095, THE MULTIDISCIPLINARY RESEARCH ON LEARNING AND TEACHING PROFILES I AND II OF UNIVERSITY OF JYVASKYLA] AND ANID/PIA/BASAL FUNDS FOR EXCELLENCE (FB0003).
THIS WORK WAS FUNDED BY THE MICHIGAN INSTITUTE FOR DATA SCIENCE (MIDAS) UNDER THE HOLISTIC MODELING OF EDUCATION (HOME) GRANT.
THIS WORK HAS BEEN SUPPORTED BY THE HUBBLE PROJECT (ANR-14-CE24-0015).
THE RESEARCH REPORTED HERE WAS SUPPORTED BY R305A150142 FROM THE INSTITUTE FOR EDUCATION SCIENCES, AND BY CHARACTER LAB.
THE PUBLICATION OF THIS ARTICLE RECEIVED FINANCIAL SUPPORT FROM RENAISSANCE LEARNING TO SRI INTERNATIONAL WHO COORDINATED THE COLLABORATION, GENERATED PROTOTYPES, AND CONDUCTED FOCUS GROUPS.
THIS STUDY WAS FINANCIALLY SUPPORTED BY A SWISS NATIONAL SCIENCE FOUNDATION (SNSF) GRANT (NUMBER: CR21I1_162757).
STUDY A WAS FUNDED BY THE NETHERLANDS ORGANIZATION FOR SCIENTIFIC RESEARCH (NWO) THROUGH A RUBICON GRANT (#446-16003/1276). STUDY B WAS FUNDED BY NRO (#405-15-823) AS PART OF THE NATIONAL RESEARCH PROGRAM "BREAKTHROUGH PROJECT TECHNOLOGY IN EDUCATION" (DOORBRAAKPROJECT ONDERWIJS & ICT).
THIS RESEARCH WAS SUPPORTED IN PART BY NSF GRANT NUMBER 1623730. OPINIONS, CONCLUSIONS, OR RECOMMENDATIONS DO NOT NECESSARILY REFLECT THE VIEWS OF THE NSF.
THIS WORK WAS FUNDED BY SOM RESEARCH GROUP AND THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P "ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION".
THE WORK WAS SUPPORTED BY A GRANT TO ANATOLIY GRUZD AND THE AUTHOR FROM THE SOCIAL SCIENCE AND HUMANITIES RESEARCH COUNCIL OF CANADA: LEARNING ANALYTICS FOR THE SOCIAL MEDIA AGE.
THIS WORK IS SUPPORTED BY THE MINISTRY OF EDUCATION OF HUMANITIES AND SOCIAL SCIENCE PROJECT (NO. 20YJCZH046), THE KEY RESEARCH AND DEVELOPMENT PROGRAM OF HUBEI PROVINCE (2020BAB017), WUHAN SCIENCE AND TECHNOLOGY PROGRAM (2019010701011392), AND SCIENTIFIC RESEARCH CENTER PROGRAM OF NATIONAL LANGUAGE COMMISSION (ZDI135-135).
THIS WORK HAS BEEN FINANCED BY THE GREEK SCHOOL OF PEDAGOGICAL AND TECHNOLOGICAL EDUCATION THROUGH THE OPERATIONAL PROGRAM "RESEARCH STRENGTHENING IN ASPETE": "ENHANCING COMMUNITIES OF INQUIRY THROUGH LEARNING ANALYTICS AND GAMIFICATION".
THIS WORK HAS BEEN (CO-)FINANCED BY THE GREEK SCHOOL OF PEDAGOGICAL AND TECHNOLOGICAL EDUCATION THROUGH THE OPERATIONAL PROGRAM "RESEARCH STRENGTHENING IN ASPETE": "ENHANCING COMMUNITIES OF INQUIRY THROUGH LEARNING ANALYTICS AND GAMIFICATION".
THIS WORK WAS FINANCIALLY SUPPORTED BY THE INSTITUTE FOR RESEARCH EXCELLENCE IN LEARNING SCIENCES OF NATIONAL TAIWAN NORMAL UNIVERSITY (NTNU) FROM THE FEATURED AREAS RESEARCH CENTER PROGRAM WITHIN THE FRAMEWORK OF THE HIGHER EDUCATION SPROUT PROJECT BY THE MINISTRY OF EDUCATION (MOE) IN TAIWAN.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP, AND/OR PUBLICATION OF THIS ARTICLE: THIS RESEARCH WAS SUPPORTED BY THE MINISTRY OF EDUCATION, SPAIN, UNDER RESEARCH GRANT FPU-0142.
THIS WORK WAS SUPPORTED IN PART BY THE PLENTAS PROJECT "PROYECTOS I CD CI 2019'' UNDER GRANT PID2019-111430RB-I00, AND IN PART BY THE PL-NETO PROJECT "PROYECTO PROPIO UNIR'' UNDER GRANT B0036.
ATHE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA, GRANT NUMBER 61601486 AND 91648204, FUNDED THIS RESEARCH.
THE RESEARCH REPORTED IN THE CURRENT ARTICLE IS GENEROUSLY SUPPORTED BY THE EUROPEAN RESEARCH COUNCIL GRANT (FP-7 ADG 340753) AND BY THE JACOBS SCHOLARSHIP. THE AUTHORS THANK THE STUDENTS FOR THEIR COOPERATION AND DORON ZUR, THE FACULTY SYSTEM ADMINISTRATOR FOR HIS SUPPORT.
THIS WORK WAS FUNDED BY THE ELEARN CENTER FROM THE UOC, THE SMARTLEARN AND SOM RESEARCH GROUPS, AND THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P "ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION".
THIS WORK WAS FUNDED BY THE SMARTLEARN AND THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2013-45303-P "ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION AND A DOCTORAL GRANT FROM THE OPEN UNIVERSITY OF CATALONIA".
THIS WORK WAS SUPPORTED IN PART BY AN AMAZON AWS MACHINE LEARNING RESEARCH AWARD AND IN PART BY THE VCU PRESIDENTIAL RESEARCH QUEST FUND UNDER THE PROJECT "INTERPRETABLE DATA MINING MODELS FOR EARLY PREDICTION OF STUDENT PERFORMANCE AND DROPOUT." (CORRESPONDING AUTHOR: ALBERTO CANO.)
THE CURRENT RESEARCH WAS SUPPORTED BY THE LEIBNIZ-COMPETITION FUND (SAW) SUPPORTING MANUEL NINAUS (SAW-2016-IWM-3) AND ACADEMY OF FINLAND (GRANT NUMBER 289140) SUPPORTING KRISTIAN KIILI.
THIS RESEARCH WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P "ICT-FLAG" (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION). IT HAS ALSO BEEN UNDERTAKEN WITH THE SUPPORT OF A DOCTORAL GRANT FROM THE UOC.
THIS WORK WAS SUPPORTED BY THE RESEARCH GRANTS COUNCIL, UNIVERSITY GRANTS COMMITTEE (GRANT NO. 17608318) AND BY THE PUBLIC POLICY RESEARCH FUNDING SCHEME FROM THE POLICY INNOVATION AND CO-ORDINATION OFFICE OF THE GOVERNMENT OF THE HKSAR (GRANT NO. 2017.A8.073.18C). THE AUTHORS WOULD ALSO LIKE TO THANK MR. PENGFEI LI AND MR. ALBEN JINJIAN YU FOR THEIR KIND HELP IN DATA CODING, AND ANONYMOUS REVIEWERS FOR THEIR CONSTRUCTIVE FEEDBACK IN REVISIONS OF THIS MANUSCRIPT.
THIS RESEARCH IS PARTIALLY SUPPORTED BY THE MINISTRY OF SCIENCE AND TECHNOLOGY (MOST), TAIWAN, R.O.C. UNDER GRANT MOST 107-2511-H-224-004-MY3 AND MOST 108-2628-H-224-001-MY3.
THIS WORK WAS SUPPORTED IN PART BY THE ERASMUS + PROGRAMME OF THE EUROPEAN UNION, PROJECTS MOOC MAKER (561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP), SHEILA (562080-EPP-1-2015-BE-EPPKA3-PI-FORWARD), LALA (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), AND COMPETENSEA (574212-EPP-1-2016-1-NL-EPPKA2-CBHE-JP), BY THE MADRID REGIONAL GOVERNMENT, THROUGH THE EMADRID EXCELLENCE NETWORK (S2013/ICE-2715), AND IN PART BY THE SPANISH MINISTRY OF ECONOMY AND COMPETITIVENESS, PROJECTS RESET (TIN2014-53199-C3-1-R), AND SMARTLET (TIN2017-85179-C3-1-R) WHICH IS FINANCED BY THE STATE RESEARCH AGENCY IN SPAIN (AEI) AND THE EUROPEAN REGIONAL DEVELOPMENT FUND (FEDER), AND IN PART BY THE SPANISH MINISTRY OF EDUCATION, CULTURE, AND SPORT, UNDER A FPU FELLOWSHIP (FPU016/00526).
THE AUTHORS THANK THE MINISTRY OF SCIENCE AND TECHNOLOGY, TAIWAN (GRANT NO. 108-2511-H-003-034-MY2) AND NATIONAL TAIWAN NORMAL UNIVERSITY FOR THEIR FINANCIAL SUPPORT.
THIS STUDY WAS SUPPORTED BY THE HACETTEPE UNIVERSITY SCIENTIFIC RESEARCH PROJECTS COORDINATION UNIT [PROJECT NUMBER: 013 A 704 003-261].
THIS WORK SUPPORTED IN PART BY THE SPANISH GOVERNMENT THROUGH THE PROJECT: TIN2016-75944-R "ODA: OPEN DATA FOR ALL" AND IN PART BY THE ELEARN CENTER AT UNIVERSITAT OBERTA DE CATALUNYA THROUGH THE PROJECT NEW GOALS 2018NG001 "LIS: LEARNING INTELLIGENT SYSTEM" (CORRESPONDING AUTHOR: DAVID BANERES.)
O. TEN CATE RECEIVES PAYMENT FROM A EUROPEAN UNION PROJECT FOR THE DEVELOPMENT OF WORKPLACE CURRICULA WITH ENTRUSTABLE PROFESSIONAL ACTIVITIES USING LEARNING ANALYTICS NAMED WATCHME, FUNDED BY THE EUROPEAN UNION'S SEVENTH FRAMEWORK PROGRAMME FOR RESEARCH, TECHNOLOGICAL DEVELOPMENT, AND DEMONSTRATION, UNDER GRANT AGREEMENT 619349.
THIS WORK HAS BEEN SUPPORTED BY THE SPANISH ICT-FLAG RESEARCH PROJECT TIN2013-45303-P (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION) AND SPANISH MINISTRY FOR ECONOMY AND COMPETITIVENESS (MINECO) AND THE EUROPEAN UNION (FEDER FUNDS) UNDER GRANT COMMAS (REF. TIN2013-46181-C2-1-R)
THE AUTHORS ARE THANKFUL TO THE PONTIFICAL UNIVERSITY OF COMILLAS AND THE FACULTY OF COMMERCE AND TOURISM (COMPLUTENSE UNIVERSITY OF MADRID) FOR THEIR SUPPORT IN THE DEVELOPMENT OF THIS RESEARCH.
THE AUTHOR(S) DISCLOSED RECEIPT OF THE FOLLOWING FINANCIAL SUPPORT FOR THE RESEARCH, AUTHORSHIP AND/OR PUBLICATION OF THIS ARTICLE: THIS WORK WAS SUPPORTED BY THE PEAK DISCIPLINE CONSTRUCTION PROJECT OF EDUCATION AT EAST CHINA NORMAL UNIVERSITY AND FUNDAMENTAL RESEARCH FUNDS FOR THE CENTRAL UNIVERSITIES (2020ECNU-HLYT035).
WE WISH TO THANK DR. RYAN BAKER AND HIS LEARNING ANALYTICS LAB FOR THIS COLLABORATION AND PROVIDING THE PERFORMANCE DATA FROM HIS BIG DATA AND EDUCATION MOOC FROM THE UNIVERSITY OF PENNSYLVANIA. THE FIRST AUTHOR ALSO ACKNOWLEDGES THE SUPPORT OF THE CENTRE FOR MEDICAL EDUCATION FOR HIS POSTDOCTORAL FELLOWSHIP.
THIS RESEARCH IS SUPPORTED BY THE PROJECT, "RESEARCH OF INSTRUCTIONAL DESIGN PRINCIPLES FOR MOOCS BASED ON LEARNING ANALYTICS" (NO. 2016ZD101), FROM ONLINE EDUCATION RESEARCH CENTER, MINISTRY OF EDUCATION (QUANTONG EDUCATION FUND), CHINA. THE AUTHORS THANK ALSO ALL THE VOLUNTEERS, LECTURERS AND LEARNERS WHO HAVE PARTICIPATED IN THE PROJECT AND IN THE INVESTIGATED MOOC.
THIS RESEARCH WAS SUPPORTED IN PART BY A GRANT FROM THE EUROPEAN COMMISSION'S RESEARCH AND INNOVATION PROGRAMME 'HORIZON 2020' (AFEL -ANALYTICS FOR EVERYDAY LEARNING; 687916).
THE AUTHORS WOULD LIKE TO THANK SANTA CATARINA STATE UNIVERSITY (UDESC) AND POSTGRADUATE MONITORING SCHOLARSHIP PROGRAM (PROMOP), FAPESC/CNPQ NO. 06/2016 PROJECT T.O. NO.: 2017TR1755 -AMBIENTES INTELIGENTES EDUCACIONAIS COM INTEGRACAO DE TECNICAS DE LEARNING ANALYTICS E DE GAMIFICACAO), FAPESC N DEGREES 27/2020 - GPIE, AND NATIONAL COUNCIL FOR SCIENTIC AND TECHNOLOGICAL DEVELOPMENT -CNPQ NO. 308395/2020-4.
THE OPEN UNIVERSITY STUDENTS ASSOCIATION DISABLED STUDENTS GROUP AND ITS MEMBERS HAVE PLAYED AN ESSENTIAL ROLE IN SUPPORTING THE ACTIVITIES THAT GUIDED THE DESIGN OF THIS RESEARCH. WE WOULD ALSO LIKE TO THANK THE SURVEY TEAM OF THE QUALITY ENHANCEMENT AND LEARNING ANALYTICS GROUP AT THE OPEN UNIVERSITY, FOR SUPPORTING US WITH THE DESIGN AND IMPLEMENTATION OF THE SURVEY.
WE THANK THE PARTIAL FINANCIAL SUPPORT OF FAPESC, PUBLIC CALL FAPESC/CNPQ NO. 06/2016 SUPPORT THE INFRASTRUCTURE OF CTI FOR YOUNG RESEARCHERS, PROJECT T.O. NO.: 2017TR1755 - AMBIENTES INTELIGENTES EDUCACIONAIS COM INTEGRACAO DE TECNICAS DE LEARNING ANALYTICS E DE GAMIFICACAO. WE ARE ALSO GRATEFUL FOR THE FINANCIAL SUPPORT OF CNPQ -NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT.
THIS RESEARCH WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE FOLLOWING PROJECTS: TIN2011-27076-C03-02 'CO-PRIVACY', CONSOLIDER INGENIO 2010 CSD2007-0 004 'ARES', TIN2013-46181-C2-1-R 'COMMAS' COMPUTATIONAL MODELS AND METHODS FOR MASSIVE STRUCTURED DATA, AND TIN2013-45303-P 'ICT-FLAG' ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMICATION.
THIS RESEARCH WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE FOLLOWING PROJECTS: TIN2011-27076-C03-02 "CO-PRIVACY"; CONSOLIDER INGENIO 2010 CSD2007-0 004 "ARES"; TIN2013-46181-C2-1-R "COMMAS" COMPUTATIONAL MODELS AND METHODS FOR MASSIVE STRUCTURED DATA; AND TIN2013-45303-P "ICT-FLAG" ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMICATION.
THIS WORK WAS SUPPORTED BY THE NATIONAL SCIENCE FOUNDATION CAREER AWARD (GRANT DRL-1350787) TO YING CHENG. WE WOULD LIKE TO ACKNOWLEDGE MEMBERS IN THE LEARNING ANALYTICS AND MEASUREMENT IN BEHAVIORAL SCIENCES LAB FOR THEIR REVIEWS OF DRAFTS OF THIS ARTICLE AS WELL AS THEIR CONTRIBUTIONS TO THE BROADER DISCUSSION OF THE TOPIC, AND TEACHERS AND STUDENTS WHO PARTICIPATED IN THE PROJECT.
THIS WORK IS PARTLY FUNDED BY AGENCIA DE GESTIO UNIVERSITARIS I DE RECERCA (GENERALITAT DE CATALUNYA) THROUGH THE INDUSTRIAL DOCTORATE PROGRAMME 2014-DI-006, AND THE SPANISH GOVERNMENT BY MEANS OF THE PROJECT TIN2013-45303-P "ICT-FLAG'' (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION). IT ALSO HAS BEEN CARRIED OUT IN COLLABORATION WITH GRUPO ICA, BARCELONA.
THIS WORK IS SUPPORTED BY A SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL OF CANADA (SSHRC) GRANT, "LEARNING ANALYTICS FOR THE SOCIAL MEDIA AGE", PIS: ANATOLIY GRUZD AND CAROLINE HAYTHORNTHWAITE.; THE AUTHORS WOULD LIKE TO ACKNOWLEDGE AND THANK ALL OF THE STUDY PARTICIPANTS, WHO KINDLY VOLUNTEERED THEIR TIME AND PROFESSIONAL OPINIONS TO THIS STUDY. WE WOULD LIKE TO THANK ANONYMOUS REVIEWERS FOR PROVIDING VERY HELPFUL COMMENTS.
THIS RESEARCH WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE FOLLOWING PROJECTS: TIN2011-27076-C03-02 "CO-PRIVACY"; CONSOLIDER INGENIO 2010 CSD2007-0 004 "ARES"; TIN2013-45303-P "ICT-FLAG" ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION; AND BY FUNDS FROM THE SPANISH MINISTRY FOR ECONOMY AND COMPETITIVENESS (MINECO) AND THE EUROPEAN UNION (FEDER FUNDS) UNDER GRANT COMMAS (REF. TIN2013-46181-C2-1-R).
THE WORK DESCRIBED IN THIS PAPER WAS SUPPORTED BY THE GRANT FROM THE NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA (NO. 71571029, NO. 71572028), AND THE NATIONAL SOCIAL SCIENCE FUND OF CHINA (NO. 15CGL029).
THIS STUDY WAS MADE POSSIBLE BY THE IMEC-ICON PROJECT LEAPS (LEARNING ANALYTICS FOR ADAPTIVE SUPPORT) IN WHICH THE RESEARCH GROUPS ITEC AND MINTLAB (2 IMEC RESEARCH GROUPS AT KU LEUVEN) AND IDLAB (AN IMEC RESEARCH GROUP AT UGENT) COLLABORATED WITH THE INDUSTRIAL PARTNERS PELCKMANS AND SENSOTEC. THE PROJECT WAS CARRIED OUT WITHIN THE IMEC'S SMART EDUCATION RESEARCH PROGRAMME, CO-FINANCED BY IMEC AND RECEIVED PROJECT SUPPORT FROM VLAIO FLANDERS INNOVATION & ENTREPRENEURSHIP.
WE THAN K HANS CUSTERS, MAARTEN SIJM, STEPHANIE THEE, TON BLAAZER, OKKE MERTON, ISABELLE KON I N G , UMIT GOGCEBULAK, STEVEN ELEONORA, AND FERRY PRONK FOR ASSISTANCE IN THE TUTORIALS. WE THANK THE HUNDREDS OF BSC STUDENTS THAT PARTICIPATED IN THE COURSES. WESSEL JOREN AND SARA LOPES VAN DEN BROEK ARE ACKNOWLEDGED FOR PROCESSING THE LEARNING ANALYTICS. WE WOULD LIKE TO THANK FRANCOISE DEKKER AND NICK BERGKAMP FOR HELPF U L DISCUSSIONS, SASKIA V A N ES FOR SCHEDULING THE COURSES IN AN OPTIMAL WAY, AND SONJA VAN SCHEIJEN FOR HELP WITH ANALYZING THE STUDENT SURVEYS. WE ARE GRATEF U L TO I W A N DE ESCH, MARTINE SMIT, ROB LEURS, THE DIVISION OF MEDICINAL CHEMISTRY, THE DEPARTMENT OF CHEMISTRY AND PHARMACEUTICAL SCIENCES (VRIJE UNIVERSITEIT AMSTERDAM) AND THE AMSTERDAM INSTITUTE OF MOLECULAR AND LIFE SCIENCES (AIMMS) FOR SUPPORT. THIS WORK WAS SUPPORTED BY TWO VRIJE UNIVERSITEIT AMSTERDAM GRASSROOTS AWARDS FOR IT INNOVATIONS IN TEACHING (2014: "MERGING PRESENTAIN AND MYMEDIASITE SOFTWARE: A BROADLY APPLICABLE PLATFORM FOR RECORDING"; 2015, "THE USE OF CLIPQUEST AS LEARNING ANALYTICS TOOL FOR BLENDED LEARNING") .
I AM GRATEFUL FOR THE FINANCIAL SUPPORT OF CNPQ -NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT, AND OF THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR -BRASIL (CAPES) -FINANCE CODE 001.; I WOULD LIKE TO THANK THE PARTIAL FINANCIAL SUPPORT OF FAPESC, PUBLIC CALL FAPESC/CNPQ NO. 06/2016 SUPPORT THE INFRASTRUCTURE OF CTI FOR YOUNG RESEARCHERS, PROJECT T.O. NO.: 2017TR1755 -AMBIENTES INTELIGENTES EDUCACIONAIS COM INTEGRACAO DE TECNICAS DE LEARNING ANALYTICS E DE GAMIFICACAO
THE AUTHORS WOULD LIKE TO THANK THE FUNDING PROVIDED BY FAPESP (PROJECTS 2016/02765-2; 2018/11180-3; 2018/15917-0; 2018/07688-1), FAPESC (PUBLIC CALL FAPESC/CNPQ NO. 06/2016 SUPPORT THE INFRASTRUCTURE OF CTI FOR YOUNG RESEARCHERS, PROJECT T.O. NO.: 2017TR1755 - AMBIENTES INTELIGENTES EDUCACIONAIS COM INTEGRACAO DE TECNICAS DE LEARNING ANALYTICS E DE GAMIFICACAO) AND CNPQ. THIS STUDY WAS FINANCED IN PART BY THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR - BRASIL (CAPES) FINANCE CODE 001
WE THANK THE PARTIAL FINANCIAL SUPPORT OF FAPESC, PUBLIC CALL FAPESC/CNPQ NO. 06/2016 SUPPORT THE INFRASTRUCTURE OF CTI FOR YOUNG RESEARCHERS, PROJECT T.O. NO.: 2017TR1755 AMBIENTES INTELIGENTES EDUCACIONAIS COM INTEGRACAO DE TECNICAS DE LEARNING ANALYTICS E DE GAMIFICACAO. WE ARE ALSO GRATEFUL FOR THE FINANCIAL SUPPORT OF CNPQ-NATIONAL COUNCIL FOR SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT. THIS STUDY WAS ALSO FINANCED IN PART BY THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR-BRASIL (CAPES)--FINANCE CODE 001.
THIS WORK HAS BEEN SUPPORTED BY BOTH THE EUROPEAN COMMISSION UNDER THE COLLABORATIVE PROJECT ALICE: ADAPTIVE LEARNING VIA INTUITIVE/INTERACTIVE, COLLABORATIVE AND EMOTIONAL SYSTEMS, 7TH FRAMEWORK PROGRAMME, THEME ICT-2009.4.2 (TECHNOLOGY-ENHANCED LEARNING), GRANT AGREEMENT NO. 257639, AND MINISTERIO DE EDUCACION Y CIENCIA AND FEDER UNDER THE PROJECT TIN2008-00444/TIN. FINALLY, THE WORK WAS ALSO SUPPORTED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P ICT-FLAG: ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION.
THIS RESEARCH INCLUDES A METHODOLOGICAL APPROACH FROM THE LEARNING ANALYTICS FOR ADAPTIVESUPPORT (LEAPS) PROJECT, FUNDED BY IMEC (KAPELDREEF 75, B-3001, LEUVEN, BELGIUM) AND THE AGENTSCHAP INNOVEREN & ONDERNEMEN. THE LEAPS PROJECT AIMED TO DEVELOP A SELF-LEARNING ANALYTICAL SYSTEM TO ENABLE ADAPTIVE LEARNING. THIS SUPPORT SYSTEM CAN BE INTEGRATED INTO EDUCATIONAL GAMES AND IN SOFTWARE SUPPORTING PROFESSIONAL COMMUNICATION AND PERSONS WITH DYSLEXIA. THE STUDY ALSO WAS PARTIALLY CARRIED OUT WITHIN IMEC'S SMART EDUCATION RESEARCH PROGRAMME, WITH SUPPORT FROM THE FLEMISH GOVERNMENT.
WE WOULD LIKE TO THANK THE FOLLOWING FUNDING AGENCIES AND PROJECTS FOR THE FUNDING GRANTED IN THIS RESEARCH: FAPESP (PROJECTS 2016/027652; 2018/11180-3; 2018/15917-0; 2018/07688-1), FAPESC (PUBLIC CALL FAPESC/CNPQ NO. 06/2016 SUPPORT THE INFRASTRUCTURE OF CTI FOR YOUNG RESEARCHERS, PROJECT T.O. NO.: 2017TR1755 -AMBIENTES INTELIGENTES EDUCACIONAIS COM INTEGRACAO DE TECNICAS DE LEARNING ANALYTICS E DE GAMIFICACAO) AND CNPQ. THIS STUDY WAS FINANCED IN PART BY THE COORDENACAO DE APERFEICOAMENTO DE PESSOAL DE NIVEL SUPERIOR -BRASIL (CAPES) FINANCE CODE 001.
THIS WORK WAS PARTLY FUNDED BY THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P "ICT-FLAG" (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION). THIS ARTICLE IS AN EXTENDED AND MODIFIED VERSION OF A PAPER PRESENTED AT THE FIFTH INTERNATIONAL WORKSHOP ON ADAPTIVE LEARNING VIA INTERACTIVE, COLLABORATIVE AND EMOTIONAL APPROACHES (ALICE 2015) IN CONJUNCTION WITH THE SEVENTH INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS 2015), HELD IN TAIPEI, TAIWAN, SEPTEMBER 2-4, 2015. SUBMITTED 26 MAY 2016. PUBLISHED AS RESUBMITTED BY THE AUTHORS 29 JUNE 2016.
THE SLOAN FOUNDATION (G-2014-14496) AND THE PROVOSTS OF OUR UNIVERSITIES SUPPORTED THIS BIG TEN ACADEMIC ALLIANCE LEARNING ANALYTICS PROJECT. NUMEROUS FACULTY AND STAFF AT EACH UNIVERSITY HELPED US DETERMINE WHICH COURSES WOULD BE COMPARABLE. PETER RADCLIFFE AND SARAH RUHLAND AT UNIVERSITY OF MINNESOTA KEPT THIS PROJECT AFLOAT IN A TIME OF TRANSITION. SPECIAL SUPPORT FOR THIS PROJECT WAS PROVIDED AT INDIANA UNIVERSITY BY VICE PROVOST DENNIS GROTH; DAWIT GELAN AND YANAN FENG AT THE BLOOMINGTON ASSESSMENT AND RESEARCH OFFICE HELPED AS WELL. FINALLY, WE THANK THE ANONYMOUS REVIEWERS FOR THEIR SUBSTANTIVE SUGGESTIONS, WHICH GREATLY IMPROVED THIS WORK.
THIS WORK WAS SUPPORTED BY THE SEISMOLOGICAL FACILITIES FOR THE ADVANCEMENT OF GEOSCIENCE, OPERATED BY THE INCORPORATED RESEARCH INSTITUTIONS FOR SEISMOLOGY (IRIS) CONSORTIUM AND FUNDED BY THE NATIONAL SCIENCE FOUNDATION (NSF) , UNDER AWARD NUMBER EAR-1851048 AND EARLIER NSF AWARDS. ADDITIONAL SUPPORT WAS PROVIDED BY NSF GRANT NUMBER 2025073. THIS WORK BENEFITED FROM CONVERSIONS WITH K. ADERHOLD, W. BOHON, B. CURRIE, B. DAVEY, J. TABER, THE SEISMOLOGICAL SOCIETY OF AMERICA, DIVERSITY EQUITY AND INCLUSION TASK FORCE, AND THE MIAMI UNIVERSITY TEACHING AND LEARNING ANALYTICS FACULTY LEARNING COMMUNITY. J. TABER, A. KAFKA, AND AN ANONYMOUS REVIEWER PROVIDED CONSTRUCTIVE REVIEWS OF THE ARTICLE.
THIS RESEARCH WAS PARTLY FUNDED BY THE ELEARN CENTER FROM THE UOC, THE SMARTLEARN RESEARCH GROUP AND THE SPANISH GOVERNMENT THROUGH THE PROJECT TIN2013-45303-P "ICT-FLAG" (ENHANCING ICT EDUCATION THROUGH FORMATIVE ASSESSMENT, LEARNING ANALYTICS AND GAMIFICATION). THIS ARTICLE IS AN EXTENDED AND MODIFIED VERSION OF A PAPER PRESENTED AT THE FIFTH INTERNATIONAL WORKSHOP ON ADAPTIVE LEARNING VIA INTERACTIVE, COLLABORATIVE AND EMOTIONAL APPROACHES (ALICE 2015) IN CONJUNCTION WITH THE SEVENTH INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS 2015), HELD IN TAIPEI, TAIWAN, SEPTEMBER 2-4, 2015. SUBMITTED 25 JUNE 2016. PUBLISHED AS RESUBMITTED BY THE AUTHORS 29 JUNE 2016.
THIS RESEARCH INCLUDES A METHODOLOGICAL APPROACH AND A REAL DATA EXAMPLE FROM THE LEARNING ANALYTICS FOR ADAPTIVESUPPORT (LEAPS) PROJECT, FUNDED BY IMEC (KAPELDREEF 75, B-3001, LEUVEN, BELGIUM) AND THE AGENTSCHAP INNOVEREN & ONDERNEMEN. THE LEAPS PROJECT AIMED TO DEVELOP A SELF-LEARNING ANALYTICAL SYSTEM TO ENABLE ADAPTIVE LEARNING. THIS SUPPORT SYSTEM CAN BE INTEGRATED INTO EDUCATIONAL GAMES AND IN SUPPORTING SOFTWARE FOR DIFFICULT READERS AND FORPROFESSIONAL COMMUNICATION. PARTNERS FROM A BROAD FIELD OF EXPERTISE WORK TOGETHER WITHIN THE CONSORTIUM. EXAMPLES INCLUDE EDUCATIONAL AND COGNITIVE SCIENTISTS, SOFTWARE DEVELOPERS, STATISTICIANS, EXPERTS IN HUMANCOMPUTER INTERACTION AND EDUCATIONAL PUBLISHERS. THIS EXTENSIVE INTERDISCIPLINARY COLLABORATION MAKES IT POSSIBLE TO CREATE A MUCH-NEEDED AND COMMERCIAL SOLUTION.
THIS RESEARCH INCLUDE A METHODOLOGICAL APPROACH AND A REAL DATA EXAMPLE FROM THE LEARNING ANALYTICS FOR ADAPTIVE SUPPORT (LEAPS) PROJECT, FUNDED BY IMEC (KAPELDREEF 75, B-3001, LEUVEN, BELGIUM) AND THE AGENTSCHAP INNOVEREN & ONDERNEMEN. THE LEAPS PROJECT AIMED TO DEVELOP A SELF-LEARNING ANALYTICAL SYSTEM TO ENABLE ADAPTIVE LEARNING. THIS SUPPORT SYSTEM CAN BE INTEGRATED INTO EDUCATIONAL GAMES AND IN SUPPORTING SOFTWARE FOR DIFFICULT READERS AND FOR PROFESSIONAL COMMUNICATION. PARTNERS FROM A BROAD FIELD OF EXPERTISE WORK TOGETHER WITHIN THE CONSORTIUM. EXAMPLES INCLUDE EDUCATIONAL AND COGNITIVE SCIENTISTS, SOFTWARE DEVELOPERS, STATISTICIANS, EXPERTS IN HUMANCOMPUTER INTERACTION AND EDUCATIONAL PUBLISHERS. THIS EXTENSIVE INTERDISCIPLINARY COLLABORATION MAKES IT POSSIBLE TO CREATE A MUCH-NEEDED AND COMMERCIAL SOLUTION.
CHRISTOTHEA HERODOTOU IS A LECTURER IN INNOVATING PEDAGOGY AT THE OPEN UNIVERSITY, UK. SHE IS INTERESTED IN THE DESIGN AND USE OF INNOVATIVE TECHNOLOGIES, IN PARTICULAR WEB-BASED TECHNOLOGIES, DIGITAL GAMES AND MOBILE APPLICATIONS FOR LEARNING AND THEIR RELATIONSHIP TO HUMAN MOTIVATION AND COGNITION. SHE IS ALSO PARTICULARLY INTERESTED IN HOW LEARNING ANALYTICS CAN INFORM OUR UNDERSTANDING OF THE USE OF TECHNOLOGIES AND IMPROVE THE LEARNING EXPERIENCE. SHE HAS RECENTLY RECEIVED FUNDING FROM THE BRITISH EDUCATIONAL RESEARCH ASSOCIATION (BERA) TO EXAMINE THE LEARNING IMPACT OF MOBILE APPLICATIONS ON YOUNG CHILDREN UNDER THE BERA BJET FELLOWSHIP. ADDRESS FOR CORRESPONDENCE: DR CHRISTOTHEA HERODOTOU, INSTITUTE OF EDUCATIONAL TECHNOLOGY, THE OPEN UNIVERSITY, WALTON HALL, MILTON KEYNES, MK7 6AA, UK. EMAIL: CHRISTOTHEA.HERODOTOU@OPEN.AC.UK
THE AUTHORS WOULD LIKE TO PRIMARILY ACKNOWLEDGE THE SUPPORT OF THE EMADRID NETWORK, WHICH IS FUNDED BY THE MADRID REGIONAL GOVERNMENT (COMUNIDAD DE MADRID) WITH GRANT NO. P2018/TCS-4307. THIS WORK HAS ALSO RECEIVED PARTIAL SUPPORT FROM FEDER/MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES - AGENCIA ESTATAL DE INVESTIGACION THROUGH PROJECT RESET (TIN2014-53199-C3-1-R) AND PROJECT SMARTLET (TIN2017-85179-C3-1-R). PARTIAL SUPPORT HAS ALSO BEEN RECEIVED FROM THE EUROPEAN COMMISSION THROUGH ERASMUS+ PROJECTS, IN PARTICULAR, PROJECTS COMPASS (COMPOSING LIFELONG LEARNING OPPORTUNITY PATHWAYS THROUGH STANDARDS-BASED SERVICES, 2015-1-EL01-KA203-014033), COMPETEN-SEA (CAPACITY TO ORGANIZE MASSIVE PUBLIC EDUCATIONAL OPPORTUNITIES IN UNIVERSITIES IN SOUTHEAST ASIA, 574212-EPP-1-2016-1-NL-EPPKA2-CBHE-JP), LALA (BUILDING CAPACITY TO USE LEARNING ANALYTICS TO IMPROVE HIGHER EDUCATION IN LATIN AMERICA, 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), AND INNOVAT (INNOVATIVE TEACHING ACROSS CONTINENTS: UNIVERSITIES FROM EUROPE, CHILE, AND PERU ON AN EXPEDITION, 598758-EPP-1-2018-1-AT-EPPKA2-CBHE-JP). UNESCO CHAIR "SCALABLE DIGITAL EDUCATION FOR ALL" AT UNIVERSIDAD CARLOS III DE MADRID IS ALSO GRATEFULLY ACKNOWLEDGED.
PERSPECTIVES REFERENCED IN THIS ARTICLE GROW OUT OF RESEARCH FUNDED THROUGH NSF GRANTS IIS 1546393, ACI-1443068, AND OMA0836012.
THE GUEST EDITORS WOULD LIKE TO THANK THE UNIVERSAL ACCESS IN THE INFORMATION SOCIETY JOURNAL EDITORS-ON-CHIEF, DR. CONSTANTINE STEPHANIDIS AND DR. MARGHERITA ANTONA, FOR THEIR CONFIDENCE IN OUR RESPONSIBILITY TO LEAD THIS SPECIAL ISSUE. WE WANT TO EXPRESS OUR GRATITUDE TO ALL THE RESEARCHERS THAT HAVE MADE THIS SPECIAL ISSUE A REALITY. THIS WORK WAS PARTIALLY FUNDED BY THE SPANISH GOVERNMENT MINISTRY OF ECONOMY AND COMPETITIVENESS THROUGHOUT THE DEFINES PROJECT (REF. TIN2016-80172-R).
THIS STUDY IS SUPPORTED BY JSPS GRANT-IN-AID FOR SCIENTIFIC RESEARCH (JP16H03080, JP17K18659), QR TSUBASA PROGRAM AT KYUSHU UNIVERSITY.