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Effects of AI feedback on students’ English writing performance in higher education: a meta-analysis

Truvace record
TRV-2026-2798raw data (JSON)
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v1Published
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Evidence type
Systematic review or meta-analysis
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1 sourcePeer-reviewed
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The integration of artificial intelligence (AI) to assess English writing has become prevalent in higher education, though empirical research on its efficacy has yielded inconsistent results. To clarify this variability and identify moderating factors, this study conducted a three-level meta-analysis synthesizing 234 effect sizes from 43 valid studies. The analysis demonstrated a significant, moderate overall impact of AI feedback on writing performance (g = 0.58, p < 0.001). The finding also revealed that AI fe…

The gain

A meta-analysis of 43 studies (234 effect sizes) found that AI feedback raised university students' English writing performance by a moderate margin (g = 0.58), with larger gains when paired with teacher feedback.

Sources

1 on file
  1. Cogent Educationdoi:10.1080/2331186x.2026.2665494
    Peer-reviewed2026-04-30

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v1

Truvace Impact Record TRV-2026-2798, v1: “Effects of AI feedback on students’ English writing performance in higher education: a meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2798 (accessed on the day you copy it). sha256 d257f99b1baf7640…

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