@inproceedings{bd99aa4e9828439a8e954c1cceda746d,
title = "An Integrated Observing Technic for Collaborative Learning: The Multimodal Learning Analytics Based on the Video Coding and EEG Data Mining",
abstract = "Observing collaborative learning in real contexts has always been a problem because of the difficulty of representing the learning engagement, a multi-facet construct including behavior, cognition and emotion. This study adopts multimodal learning analytics to tackle it. Specifically, it is an integrated observation technic to represent it at both macro and micro levels through video coding and electroencephalogram (EEG) data mining. The analysis of a quasi-experiment was conducted to justify the feasibility. And this study also finds that learning engagement is related with the learning gain in collaborative learning.",
keywords = "collaborative learning, EEG data mining, multimodal learning analytics, video coding",
author = "Shuo Feng and Shuwen Wang and Yufei Chen and Sixu Zhang and Lishan Zhang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021 ; Conference date: 05-12-2021 Through 08-12-2021",
year = "2021",
doi = "10.1109/TALE52509.2021.9678555",
language = "English",
series = "TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1097--1101",
booktitle = "TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings",
address = "United States",
}