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The Impact of Artificial Intelligence on Elementary School Students’ Learning: A Meta-Analysis
- Truvace record
- TRV-2026-2835raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
- 6148f809ac4d…check it
This study reviewed, evaluated and synthesized the available evidence to investigate the impact of Artificial Intelligence (AI) on elementary school students’ learning. A meta-analysis was conducted synthesizing evidence from experimental and quasi-experimental studies conducted from 2020 to 2024. Out of 272 studies, 12 studies were included in the meta-analysis. The results of the meta-analysis found a positive impact of AI on elementary school students’ learning, g = 0.91, CI 95% [0.55, 1.27]. This effect size…
The gain
A meta-analysis of 12 experimental and quasi-experimental studies from 2020 to 2024 found AI raised elementary school students' learning with a pooled effect of g = 0.91 (95% CI 0.55 to 1.27).
What this doesn’t fix
The authors say the unusually large effect may be explained by the small sample sizes of the included studies and potential publication bias, and long-term effects remain unexamined.
Sources
1 on file- Computers in the Schoolsdoi:10.1080/07380569.2025.2520787
Cite this record
v1Truvace Impact Record TRV-2026-2835, v1: “The Impact of Artificial Intelligence on Elementary School Students’ Learning: A Meta-Analysis.” Truvace, 2026-11-12. /record/TRV-2026-2835 (accessed on the day you copy it). sha256 6148f809ac4d3f4b…
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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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