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The effects of AI-guided individualized language learning: A meta-analysis
- Truvace record
- TRV-2026-2724raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language learning and collected 61 samples (N = 8,282) from 17 research projects (e.g., Assessment to Instruction [A2i], Duolingo, and Project LISTEN). The results of our meta-…
The gain
A meta-analysis of 61 samples (N = 8,282) from 17 research projects found AI-guided individualized language learning beat business-as-usual instruction by d = 0.39 across 35 between-group samples (N = 6,020).
Sources
1 on file- Language Learning & Technologydoi:10.64152/10125/73575
Cite this record
v1Truvace Impact Record TRV-2026-2724, v1: “The effects of AI-guided individualized language learning: A meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2724 (accessed on the day you copy it). sha256 4e617faa9aad8d4a…
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