Adaptive support for self‐regulated learning in digital learning environments

Author:

Khalil Mohammad1ORCID,Wong Jacqueline2ORCID,Wasson Barbara1ORCID,Paas Fred34ORCID

Affiliation:

1. Centre for the Science of Learning & Technology (SLATE) University of Bergen Bergen Norway

2. Department of Education, Faculty of Social and Behavioral Sciences Utrecht University Utrecht The Netherlands

3. Department of Psychology, Education, and Child Studies, Erasmus School of Social and Behavioural Sciences Erasmus University Rotterdam Rotterdam The Netherlands

4. School of Education University of New South Wales Sydney New South Wales Australia

Abstract

AbstractA core focus of self‐regulated learning (SRL) research lies in uncovering methods to empower learners within digital learning environments. As digital technologies continue to evolve during the current hype of artificial intelligence (AI) in education, the theoretical, empirical and methodological nuances to support SRL are emerging and offering new ways for adaptive support and guidance for learners. Such affordances offer a unique opportunity for personalised learning experiences, including adaptive interventions. Exploring the application of adaptivity to enhance SRL is an important and emerging area of research that requires further attention. This editorial introduces the contributions of seven papers for the special section on adaptive support for SRL within digital learning environments. These papers explore various themes related to enhancing SRL strategies through technological interventions, offering valuable insights and paving the way for future advancements in this dynamic area.

Publisher

Wiley

Reference29 articles.

1. Aleven V. McLaughlin E. A. Glenn R. A. &Koedinger K. R.(2016).Instruction based on adaptive learning technologies. InR. E. Mayer & P. Alexander(Eds.) Handbook of research on learning and instruction (pp. 522‐560).Routledge.

2. Supporting self-regulated hypermedia learning through prompts

3. Investigating pedagogical agents' scaffolding of self‐regulated learning in relation to learners' subgoals

4. Personalization vs. privacy

5. Self-regulation of learning with computer-based learning environments

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