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Yueqiao Jin; Vanessa Echeverria; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…
Descriptors: Learning Analytics, Accountability, Ethics, Artificial Intelligence
Hu, Xiao; Ng, Jeremy T. D.; Chu, Samuel K. W. – International Journal of Computer-Supported Collaborative Learning, 2022
Learning analytics (LA) and group awareness tools are regarded as top priorities for research in the field of computer-supported collaborative learning. As such, this study investigated whether LA-enabled group awareness information facilitates wiki-supported collaborative learning in secondary education. We proposed an analytic framework of…
Descriptors: Learning Analytics, Collaborative Writing, Cooperative Learning, Secondary Education
Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork