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