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Artificial intelligence and learner autonomy: a meta-analysis of self-regulated and self-directed learning
- Truvace record
- TRV-2026-2823raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
- b99a78dea2ca…check it
Introduction As artificial intelligence (AI) becomes increasingly embedded in educational environments, understanding its role in shaping learners’ self-regulated learning (SRL) and self-directed learning (SDL) has emerged as a central concern in contemporary learning science. While prior studies suggest that AI-driven systems may support planning, monitoring, and autonomy in learning, empirical evidence remains fragmented across contexts, learner groups, and instructional designs. This study synthesizes existin…
The gain
A meta-analysis of 32 controlled studies with 3,029 learners found AI-based interventions raised self-regulated learning (g = 1.613) and self-directed learning (g = 1.111) versus control groups, with very high variation between studies.
What this doesn’t fix
Variation between studies was extremely high for overall self-regulated learning, and tests indicated significant publication bias for that result, so the pooled effect size may be overestimated.
Sources
1 on file- Frontiers in Educationdoi:10.3389/feduc.2025.1738751
What the review found when it combined the studies
These are the review’s own pooled results, copied from its abstract. Truvace did not recalculate them.
Learners' self-regulated learning during the performance phase with AI-based interventions
Hedges' g 0.78 (95% CI −0.11 to 1.67)
32 studies · 3,029 people
The review’s own words
Although the performance phase (Figure 9) yielded a large mean effect size (g = 0.78), the confidence interval includes zero (−0.11 to 1.67)
Code checks every number above against the review’s text before it is shown. The short labels are an AI model’s reading of that text, so the review’s own sentence sits under each one. A pooled figure is only as strong as the studies behind it. How Truvace uses pooled results
Cite this record
v1Truvace Impact Record TRV-2026-2823, v1: “Artificial intelligence and learner autonomy: a meta-analysis of self-regulated and self-directed learning.” Truvace, 2026-11-12. /record/TRV-2026-2823 (accessed on the day you copy it). sha256 b99a78dea2cab506…
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