Understanding, evaluating, and supporting self-regulated learning using learning analytics

Authors

  • Ido Roll University of British Columbia
  • Philip H. Winne Simon Fraser University

DOI:

https://doi.org/10.18608/jla.2015.21.2

Keywords:

self regulated learning, learning analytics

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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Published

2015-07-15

How to Cite

Roll, I., & Winne, P. H. (2015). Understanding, evaluating, and supporting self-regulated learning using learning analytics. Journal of Learning Analytics, 2(1), 7-12. https://doi.org/10.18608/jla.2015.21.2

Issue

Vol. 2 No. 1 (2015): Self-Regulated Learning and Learning Analytics

Section

Special section: Self-regulated learning and learning analytics

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