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Meta-Analysis of Artificial Intelligence in Education
- Truvace record
- TRV-2026-2838raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
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This meta-analysis examined the effectiveness of artificial intelligence (AI) technologies in educational settings through a systematic review of 13 empirical studies conducted across eight countries. We analysed the impact of various AI technologies on educational outcomes using PRISMA guidelines and multiple analytical approaches, including novel applications of Naive Bayes, TF-IDF, and BERT-based algorithms. The overall analysis revealed a significant positive effect size (Hedges' g = 0.86, 95% CI [0.45, 1.27…
The gain
A meta-analysis of 13 studies across eight countries found AI technologies in education were linked to better student learning outcomes (Hedges' g = 0.86), with chatbots and generative AI strongest at 1.02.
What this doesn’t fix
Heterogeneity across the 13 studies was high (I² from 54.03% to 93.23%), and the online learning and virtual reality estimate had a confidence interval that crossed zero.
Sources
1 on file- Higher Education Studiesdoi:10.5539/hes.v15n2p189
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.
Student learning outcomes with chatbots and generative AI
Effect size 1.02 (95% CI 0.45 to 1.59)
13 studies
The review’s own words
Particularly noteworthy were the effects of chatbots and generative AI (effect size = 1.02, 95% CI [0.45, 1.59], p < 0.0001), which demonstrated the most substantial positive impact on student learning outcomes.
Educational outcomes with learning management systems and AI platforms
Effect size 0.62 (95% CI 0.03 to 1.21)
13 studies
The review’s own words
Online learning and virtual reality applications showed moderate positive effects (effect size = 0.79, 95% CI [-0.04, 1.62], p < 0.07) while learning management systems and AI platforms demonstrated promising but more modest impacts (effect size = 0.62, 95% CI [0.03, 1.21], p < 0.05).
Educational outcomes with online learning and virtual reality applications
Effect size 0.79 (95% CI -0.04 to 1.62)
13 studies
The review’s own words
Online learning and virtual reality applications showed moderate positive effects (effect size = 0.79, 95% CI [-0.04, 1.62], p < 0.07) while learning management systems and AI platforms demonstrated promising but more modest impacts (effect size = 0.62, 95% CI [0.03, 1.21], p < 0.05).
Educational outcomes with AI technologies overall
Hedges' g 0.86 (95% CI 0.45 to 1.27)
13 studies
The review’s own words
The overall analysis revealed a significant positive effect size (Hedges' g = 0.86, 95% CI [0.45, 1.27], p < 0.0001), indicating substantial benefits of AI integration in education.
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
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v1Truvace Impact Record TRV-2026-2838, v1: “Meta-Analysis of Artificial Intelligence in Education.” Truvace, 2026-11-12. /record/TRV-2026-2838 (accessed on the day you copy it). sha256 ae8fd3938e50f78e…
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