Title |
Authors |
Predicting Item Response Theory Parameters Using Question Statements Texts |
Wemerson Marinho, Esteban Clua, Luis Marti and Karla Marinho |
Logs or Self-Reports? Misalignment Between Behavioral Trace data and Surveys when Modeling Learner Achievement Goal Orientation |
Heeryung Choi, Philip H. Winne, Christopher Brooks, Warren Li and Kerby Shedden |
SeNA: Modelling Socio-spatial Analytics on Homophily by Integrating Social and Epistemic Network Analysis |
Lixiang Yan, Roberto Martinez-Maldonado, Linxuan Zhao, Xinyu Li and Dragan Gasevic |
TikTok as Learning Analytics Data: Framing Climate Change and Data Practices |
Ha Nguyen |
Learning analytics dashboards: What do students actually ask for? |
Blaženka Divjak, Barbi Svetec and Damir Horvat |
"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers |
Riordan D. Alfredo, Lanbing Nie, Paul Kennedy, Tamara Power, Carolyn Hayes, Hui Chen, Carolyn McGregor, Zachari Swiecki, Dragan Gasevic and Roberto Martinez-Maldonado |
Predictive Learning Analytics and University Teachers: Usage and perceptions three years post implementation |
Christothea Herodotou, Claire Maguire, Martin Hlosta and Paul Mulholland |
Each Encounter Counts: Modeling Language Learning and Forgetting |
Boxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui and Yuji Ando |
How Do Teachers Use Dashboards Enhanced with Data Storytelling Elements According to their Data Visualisation Literacy Skills? |
Stanislav Pozdniakov, Roberto Martinez-Maldonado, Yi-Shan Tsai, Vanessa Echeverria, Namrata Srivastava and Dragan Gasevic |
Learner-centred Analytics of Feedback Content in Higher Education |
Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic and Guanliang Chen |
How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Contexts Audio-Log Datasets using Multimodal Learning Analytics |
Pankaj Chejara, Luis P. Prieto, María Jesús Rodríguez-Triana, Reet Kasepalu, Adolfo Ruiz Calleja and Shashi Kant Shankar |
Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion |
Tanya Nazaretsky, Jamie Mikeska and Beata Beigman Klebanov |
Are They Learning or Guessing? Investigating Trial-and-Error Behavior with Limited Test Attempts |
Bowen Hui |
Names, Nicknames, and Spelling Errors: Protecting Participant Identity in Learning Analytics of Online Discussions |
Elaine Farrow, Johanna Moore and Dragan Gasevic |
How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference |
Aaron Haim, Stacy Shaw and Neil Heffernan |
Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An Analysis of Seven Large-Scale Experimental Inventions |
Kirk Vanacore, Ashish Gurung, Andrew McReynolds, Allison Liu, Stacy Shaw and Neil Heffernan |
CVPE: A Computer Vision Approach for Scalable and Privacy-Preserving Socio-spatial, Multimodal Learning Analytics |
Xinyu Li, Lixiang Yan, Linxuan Zhao, Roberto Martinez-Maldonado and Dragan Gašević |
METS: Multimodal Learning Analytics of Embodied Teamwork Learning |
Linxuan Zhao, Zachari Swiecki, Dragan Gasevic, Lixiang Yan, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Xinyu Li, Riordan Alfredo and Roberto Martinez-Maldonado |
Identifying Student Profiles of Change in a University Course: A Complex Dynamical Systems Perspective |
Oleksandra Poquet, Jelena Jovanovic and Abelardo Pardo |
Effects of Modalities in Detecting Behavioral Engagement in Collaborative Game-Based Learning |
Fahmid Morshed Fahid, Seung Lee, Bradford Mott, Jessica Vandenberg, Halim Acosta, Thomas Brush, Krista Glazewski, Cindy Hmelo-Silver and James Lester |
Insights into undergraduate pathways using course load analytics |
Conrad Borchers and Zachary Pardos |
Do Associations Between Mind Wandering and Learning from Complex Texts Vary by Assessment Depth and Time? |
Megan Caruso and Sidney D'Mello |
Capturing what you want or settling for what you have? A scoping review of engagement in K-12 learning analytics |
Melissa Bond, Olga Viberg and Nina Bergdahl |
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors |
Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth McLaughlin and Kenneth Koedinger |
Investigating Student’s Problem-solving Approaches in MOOCs using Natural Language Processing |
Byeongjo Kong and Erik Hemberg |
Lost in Translation: Determining the Generalizability of Temporal Models across Course Contexts |
Joshua Quick, Benjamin Motz and Anastasia Morrone |
Instructor-in-the-Loop Exploratory Analytics to Support Group Work |
Armanda Lewis, Xavier Ochoa and Rohini Qamra |
When to Intervene? Utilizing Two Facets of Temporality in Students’ SRL Processes in a Programming Course |
Sina Nazeri, Marek Hatala and Fatemeh Salehian Kia |
Towards more replicable content analysis for learning analytics |
Kirsty Kitto, Catherine Manly, Rebecca Ferguson and Oleksandra Poquet |
Using Transformer Language Models to Validate Peer-Assigned Essay Scores in Massive Open Online Courses (MOOCs) |
Wesley Morris, Scott Crossley, Langdon Holmes and Anne Trumbore |
Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum |
Nicole Hutchins and Gautam Biswas |
Multimodal Predictive Student Modeling with Multi-Task Transfer Learning |
Andrew Emerson, Wookhee Min, Jonathan Rowe, Roger Azevedo and James Lester |
Trusting the Explainers: Explainable AI for Course Design |
Vinitra Swamy, Sijia Du, Mirko Marras and Tanja Käser |
The Doer Effect at Scale: Investigating Correlation and Causation Across Seven Courses |
Rachel Van Campenhout, Bill Jerome, Jeff Dittel and Benny Johnson |
Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software |
Husni Almoubayyed, Stephen Fancsali and Steven Ritter |
Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course |
Elizabeth Cloude, Ryan Baker and Eric Fouh |
Predicting Co-occurring Emotions in MetaTutor when Combining Eye-Tracking and Interaction Data from Separate User Studies |
Rohit Murali, Cristina Conati and Roger Azevedo |
Identification, Exploration, and Remediation: Can Teacher Predict Common Wrong Answers? |
Ashish Gurung, Sami Baral, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Anthony F. Botelho, Stacy T. Shaw and Neil T. Hefferna |
Learning Analytics and Stakeholder Inclusion: What do We Mean When We Say "Human Centered"? |
Charles Lang and Laura Davis |
Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy |
Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani and Dragan Gasevic |
Recurrence Quantification Analysis of Eye Gaze Dynamics During Team Collaboration |
Robert Moulder, Brandon Booth, Angelina Abitino and Sidney D'Mello |
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning |
Roberta Galici, Tanja Käser, Gianni Fenu and Mirko Marras |
Using a Webcam Based Eye-tracker to Understand Students’ Thought Patterns and Reading Behaviors in Neurodivergent Classrooms |
Aaron Wong, Rick Bryck, Stephen Hutt, Ryan Baker and Caitlin Mills |
The Student Zipf Theory: Inferring Latent Structures in Open-Ended Student Work To Help Educators |
Yunsung Kim and Chris Piech |
Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs |
Eduardo Davalos, Caleb Vatral, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas, Naveeduddin Mohammed, Madison Lee and Daniel Levin |
Demographic and Behavioral Oversampling for Fair Student Success Modeling: Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling |
Jade Mai Cock, Bilal Muhammad, Richard Davis, Mirko Marras and Tanja Käser |
Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education |
Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gasevic and Guanliang Chen |
Towards explainable prediction of essay cohesion in Portuguese and English |
Hilario Oliveira, Rafael Ferreira Mello, Mladen Rakovic, Péricles Miranda, Thiago Cordeiro, Seiji Isotani, Ig Bittencourt and Dragan Gasevic |
Can we empower attentive E-reading with a social robot? An Introductory Study with a Novel Multimodal dataset and Deep Learning Approaches |
Yoon Lee and Marcus Specht |