The Impact of Generative AI Feedback on Feedback Literacy among Low-Proficiency IELTS Writing Students 

Dong Chiyuan

Xian International Studies University, Xian Shaanxi ，710100；

Abstract：Feedback literacy needs promoted to help students improve their writing, but researches on how AI-assisted feedback affects students; especially on low-proficiency IELTS candidates with issues in language and feedback processing are still insufficient. Most of the existing researches have focused on teacher/peer feedback and have not studied the effect of Generative AI on the feedback literacy of low-level L2 writers. This paper examines the effect of GAI feedback on the feedback literacy of Chinese low-proficiency IELTS writers. Over the past five weeks, five students who scored less than 5.0 in the IELTS writing section have taken part in three writing activities and employed Deepseek-R1 AI for correction. Feedback literacy was measured by Zhan's Student Feedback Literacy Scale. GAI feedback helped the participants gain knowledge about feedback. There were significant increases in Enacting and Commitment while other dimensions showed no significant change. GAI can provide personalised help for writers with low proficiency in important feedback literacy.

Keywords: generative AI feedback; feedback literacy; low-proficiency IELTS candidates; L2 writing

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