Adaptive support for self-regulated learning in digital learning environments

Mohammad Khalil*, Jacqueline Wong*, Barbara Wasson, Fred Paas

*Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review

Abstract

A 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.

Original languageEnglish
Pages (from-to)1281-1289
Number of pages9
JournalBritish Journal of Educational Technology
Volume55
Issue number4
Early online date5 May 2024
DOIs
Publication statusPublished - Jul 2024

Bibliographical note

Publisher Copyright:
© 2024 British Educational Research Association.

Funding

Jacqueline Wong's work is (partly) financed by the Dutch Research Council (NWO) under the Talent programme with project number VI.Veni.221G.065.

FundersFunder number
Dutch Research Council (NWO)VI.Veni.221G.065

    Keywords

    • adaptive support
    • interventions
    • learning analytics
    • personalised learning
    • self-regulated learning (SRL)

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