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 …

There have been major advances in the field of metacognition since I took over as the
editorin-chief of the Metacognition and Learning journal in 2011. As the former editor of the …

Self-regulated learning (or self-regulation) refers to the process whereby learners personally
activate and sustain cognitions, affects, and behaviours that are systematically oriented …

This chapter describes the complex fusion of cognition, metacognition and motivation that is
self-regulated learning (SRL) and identifies key foci for future research and practice …

Analyzing multimodal multichannel data about self-regulated learning (SRL) obtained
during the use of advanced learning technologies such as intelligent tutoring systems …

Achievement motivation theories propose that student motivation is composed of multiple
factors. Models of self-regulated learning adopt this assumption and further articulate that …

The emergence and popularity of generative artificial intelligence (AI) tools, particularly text-
based ones known as large language models, pose both opportunities and challenges to …

Self-regulated learning (SRL) involves learners' ability to monitor and regulate their
cognitive, affective, metacognitive, and motivational (CAMM) processes and plays a critical …

Compared to traditional classroom learning, success in online learning tends to depend
more on the learner's skill to self-regulate. Self-regulation is a complex meta-cognitive skill …

This chapter describes the ways trace data can be used to observe learning processes, and
how traced learning processes can be analyzed to test assumptions that underlie process …