Understanding, Evaluating, and Supporting Self-Regulated Learning Using Learning Analytics.

Published on Jul 15, 2015in Journal of learning Analytics
· DOI :10.18608/JLA.2015.21.2
Ido Roll26
Estimated H-index: 26
(UBC: University of British Columbia),
Philip H. Winne68
Estimated H-index: 68
(SFU: Simon Fraser University)
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Abstract
Self-regulated learning is an ongoing process rather than a single snapshot in time. Naturally, the field of learning analytics, focusing on interactions and learning trajectories, offers exciting opportunities for analyzing and supporting self-regulated learning. This special section highlights the current state of research in the intersect of self-regulated learning and learning analytics, bridging communities, disciplines, and schools of thoughts. In this editorial, we introduce the papers and identify themes and challenges in understanding and support self-regulated learning in interactive learning environments.
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