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A systematic review and meta‐analysis of AI ‐enabled assessment in language learning: Design, implementation, and effectiveness
- Truvace record
- TRV-2026-2846raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
- 91eda45e31bb…check it
Abstract Background Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives This article aims to explore the design and implementation of AI‐enabled assessment tools in language education, filling the research gaps regarding the impact o…
The gain
A systematic review and meta-analysis of 25 empirical studies found AI-enabled assessment tools improved students' language learning outcomes with a medium pooled effect (Hedges's g = 0.390, p < 0.001).
What this doesn’t fix
Most included tools were used over short durations, and the authors say future research is needed on diverse instructional designs for integrating AI-based assessment.
Sources
1 on file- Journal of Computer Assisted Learningdoi:10.1111/jcal.13064
Cite this record
v1Truvace Impact Record TRV-2026-2846, v1: “A systematic review and meta‐analysis of AI ‐enabled assessment in language learning: Design, implementation, and effectiveness.” Truvace, 2026-11-12. /record/TRV-2026-2846 (accessed on the day you copy it). sha256 91eda45e31bb46a6…
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