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AI-Enhanced Skill Assessment in Higher Vocational Education: A Systematic Review and Meta-Analysis
- Truvace record
- TRV-2026-2819raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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This study synthesizes empirical evidence on AI-supported skill assessment systems in higher vocational education through a systematic review and meta-analysis. Despite growing interest in generative AI within higher education, empirical research on AI-enabled assessment remains fragmented and methodologically uneven, particularly in vocational contexts. Following PRISMA 2020 guidelines, 27 peer-reviewed empirical studies published between 2010 and 2024 were identified from major international and Chinese databa…
The gain
A meta-analysis of 27 peer-reviewed studies found AI-supported skill assessment in higher vocational education was associated with moderately better skill-related learning outcomes (Hedges' g = 0.72).
What this doesn’t fix
The authors report substantial heterogeneity across study designs, outcome measures and contexts, and say subgroup variation should be interpreted cautiously given small sample sizes and diverse methods.
Sources
1 on file- Informaticsdoi:10.3390/informatics13020020
Cite this record
v1Truvace Impact Record TRV-2026-2819, v1: “AI-Enhanced Skill Assessment in Higher Vocational Education: A Systematic Review and Meta-Analysis.” Truvace, 2026-11-12. /record/TRV-2026-2819 (accessed on the day you copy it). sha256 f33917e5ffc8b56f…
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