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The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Systems From 2010 to 2022 on Learner Outcomes: A Meta-Analysis
- Truvace record
- TRV-2026-2850raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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- 8bb8f2b1795f…check it
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45 independent studies utilizing AI-enabled adaptive learning. This meta-analysis examined the overall effect of AI-enabled adaptive learning systems on students’ cognitive l…
The gain
A meta-analysis of 45 independent studies found AI-enabled adaptive learning systems had a medium to large positive effect (g = 0.70) on students' cognitive learning outcomes compared with non-adaptive teaching.
What this doesn’t fix
The effect size varied significantly with publication type, study origin, student level, discipline, duration and research design, so the average of g = 0.70 may not hold in every setting.
Sources
1 on file- Journal of Educational Computing Researchdoi:10.1177/07356331241240459
Cite this record
v1Truvace Impact Record TRV-2026-2850, v1: “The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Systems From 2010 to 2022 on Learner Outcomes: A Meta-Analysis.” Truvace, 2026-11-12. /record/TRV-2026-2850 (accessed on the day you copy it). sha256 8bb8f2b1795f7b7f…
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1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
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