Author(s)

Wenqian Li ¹, Na Lu ¹, Jing Zhuang ¹

Affiliation(s)

¹ School of English Studies, Xi'an International Studies University, Xi'an, Shaanxi, China

Corresponding Author

Wenqian Li

ABSTRACT

This review study, with the retrieval scope covering SSCI- and CSSCI-indexed journals, comprehensively analyzes the empirical studies on second language (L2) writing feedback in the context of artificial intelligence (AI) published between 2014 and 2024. It focuses on the impacts of automated evaluation systems, peer review, teacher feedback, and human-machine hybrid feedback on the quality of L2 writing. The research findings suggest that AI technology can significantly improve the effectiveness of writing instruction. However, it has limitations in understanding context and performing logical reasoning. There is a lack of long-term follow-up studies, making it difficult to fully evaluate the long-term impacts of AI feedback on the development of learners' writing abilities. Future research needs to specifically address these issues to promote the in-depth development and effective application of AI technology in L2 writing teaching.

KEYWORDS

AI writing feedback, Second language writing, Feedback, Empirical research

CITE THIS PAPER

Wenqian Li, Na Lu, Jing Zhuang, A Review of Empirical Studies on Second Language Writing Feedback in the Background of AI (2014 - 2024). Transactions on Comparative Education (2025) Vol. 7: 48-54. DOI: http://dx.doi.org/10.23977/trance.2025.070107.

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Sponsors, Associates, and Links

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