In recent years, artificial intelligence (AI) and learning analytics (LA) have been introduced
into the field of education, where their use has great potential to enhance the teaching and …

Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts.
Despite its importance, research shows that not all learners are equally skilled at accurately …

This study utilized multimodal learning analytics and AI-based methods to examine the
patterns of the socially shared regulation of collaborative learning (CL). The study involved …

We present a systematic literature review of data-driven self-regulated learning (SRL) that
emphasises the methodological importance of temporality and sequence, as opposed to …

Background Formative assessments are vital for supporting learning and performance but
are also considered to increase the workload of teachers. As self‐assessments in higher …

Contemporary research that looks at self-regulated learning (SRL) as processes of learning
events derived from trace data has attracted increasing interest over the past decade …

Self-regulated learning (SRL) has been considered a key competence for continuing
education (CE). The present systematic review and meta-analysis investigated factors …

As students transition into tertiary blended learning environments, their digital literacy in
terms of technical capabilities have potential to impact on their access to digital resources …

Abstract “Self-regulated learning”(SRL) is defined as taking responsibility for one's own
learning. Self-regulatory skills are crucial to learners' success in the online learning context …

Background Select and enact appropriate learning tactics that advance learning has been
considered a critical set of skills to successfully complete highly flexible online courses, such …