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

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 feedback was more effective when integrated with human feedback in a hybrid intelligence framework, particularly in cooperating with teacher feedback. Additionally, AI demonstrated the largest effect when providing feedback on narrative writing tasks. These findings support viewing AI as a valuable feedback tool and emphasize the importance of hybrid intelligence in enhancing feedback effectiveness.

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Publication Details

Journal
Cogent Education
Published
2026-04-30
DOI
https://doi.org/10.1080/2331186x.2026.2665494
Primary Topic
Student Assessment and Feedback
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Wenyun LUO, Ying Zhan
Cogent Education
Student Assessment and Feedback
article

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

Wenyun LUO, Ying Zhan
article en

Abstract

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 feedback was more effective when integrated with human feedback in a hybrid intelligence framework, particularly in cooperating with teacher feedback. Additionally, AI demonstrated the largest effect when providing feedback on narrative writing tasks. These findings support viewing AI as a valuable feedback tool and emphasize the importance of hybrid intelligence in enhancing feedback effectiveness.

Cogent EducationVol. 13(1)
Education University of Hong Kong (HK)
Guangdong Office of Philosophy and Social Science
Quality Education
Openalex Percentile: Top 8%
Student Assessment and Feedback
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