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The potential of artificial intelligence to enhance self-regulated learning: A three-level meta-analysis

Truvace record
TRV-2026-2790raw data (JSON)
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v1Published
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Evidence type
Systematic review or meta-analysis
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1 sourcePeer-reviewed
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As artificial intelligence (AI) technologies rapidly advance in education, their potential to support learners’ self-regulated learning (SRL) has gained increasing attention. This meta-analysis synthesized 95 effect sizes from 28 empirical studies to evaluate the overall impact of AI interventions on SRL and examine moderating variables. The results showed that AI interventions significantly improved learners’ SRL. Further analysis indicated that intervention duration and subject domain moderated effectiveness.…

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A meta-analysis pooling 95 effect sizes from 28 empirical studies found that AI interventions significantly improved learners' self-regulated learning.

Sources

1 on file
  1. Journal of Research on Technology in Educationdoi:10.1080/15391523.2026.2643171
    Peer-reviewed2026-05-01

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v1

Truvace Impact Record TRV-2026-2790, v1: “The potential of artificial intelligence to enhance self-regulated learning: A three-level meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2790 (accessed on the day you copy it). sha256 b83b8ea638624e3c…

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