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Does Generative Artificial Intelligence Improve the Academic Achievement of College Students? A Meta-Analysis
- Truvace record
- TRV-2026-2848raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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The use of generative artificial intelligence (Gen-AI) to assist college students in their studies has become a trend. However, there is no academic consensus on whether Gen-AI can enhance the academic achievement of college students. Using a meta-analytic approach, this study aims to investigate the effectiveness of Gen-AI in improving the academic achievement of college students and to explore the effects of different moderating variables. A total of 28 articles (65 independent studies, 1909 participants) met…
The gain
A meta-analysis of 28 articles (65 independent studies, 1,909 participants) found generative AI raised college students' academic achievement with a medium effect size (Hedges's g = 0.533, 95% CI 0.408 to 0.659).
What this doesn’t fix
The strongest effect appeared in studies with only 21 to 40 participants, and within-group differences for several moderators, including duration, discipline and assessment tools, were not significant.
Sources
1 on file- Journal of Educational Computing Researchdoi:10.1177/07356331241277937
Cite this record
v1Truvace Impact Record TRV-2026-2848, v1: “Does Generative Artificial Intelligence Improve the Academic Achievement of College Students? A Meta-Analysis.” Truvace, 2026-11-12. /record/TRV-2026-2848 (accessed on the day you copy it). sha256 4f8f600d62ae1b27…
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