@inproceedings{04c5730bac234b6cbbd939519dbfa691,
title = "Applying learning analytics to collaborative learning",
abstract = "This study applies learning analytics to measure learners{\textquoteright} interaction, collaboration, and engagement during the process of collaborative learning in a MOOCs enabled course. The learning analytics provide instructors with visualized analysis of learners{\textquoteright} engagement for better understanding of learners{\textquoteright} collaboration with co-learners and interaction with course context. In addition, the learning analytics enable instructors to identify at-risk learners who have difficulties in collaboration and then trigger early intervention strategy. Our study shows that the learning analytics can successfully identify 85 % of students who were at-risk in collaboration, and over 60 % of the identified at-risk learners can improve their collaboration with early interventions.",
author = "Yang, {Stephen J.H.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 22nd International Conference on Collaboration and Technology, CRIWG 2016 ; Conference date: 14-09-2016 Through 16-09-2016",
year = "2016",
language = "???core.languages.en_GB???",
isbn = "9783319447988",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "ix",
editor = "Takaya Yuizono and Julita Vassileva and Hiroaki Ogata and Ulrich Hoppe",
booktitle = "Collaboration and Technology - 22nd International Conference, CRIWG 2016, Proceedings",
}