TY  - CHAP
TI  - Computational Methods for the Analysis of Learning and Knowledge Building Communities
AU  - Hoppe, Ulrich
T2  - The Handbook of Learning Analytics
A2  - Lang, Charles
A2  - Siemens, George
A2  - Wise, Alyssa Friend
A2  - Gaševic, Dragan
AB  - Learning analytics (LA) features an inherent interest in algorithms and computational methods of analysis. This makes LA an interesting  eld of study for computer scientists and mathematically inspired researchers. A differentiated view of the different types of approaches is relevant not only for “technologists” but also for the design and interpre- tation of analytics applications. The “trinity of methods” includes analytics of 1) network structures including actor–actor (social) networks but also actor–artefact networks, 2) processes using methods of sequence analysis, and 3) content using text mining or other techniques of artefact analysis. A summary picture of these approaches and their roots is given. Two recent studies are presented to exemplify challenges and potential bene ts of using advanced computational methods that combine different methodological approaches.
CY  - Alberta, Canada
DA  - 2017///
PY  - 2017
ET  - 1
SP  - 23
EP  - 33
PB  - Society for Learning Analytics Research (SoLAR)
SN  - 978-0-9952408-0-3
UR  - http://solaresearch.org/hla-17/hla17-chapter1
ER  -