learner engagement

Translation students welcomed AI feedback but still needed help turning broad advice into revisions

Simin Xu, Yanfang Su, Kanglong Liu

Education and Information Technologies

A Hong Kong study examined how 29 translation master’s students understood, felt about, and acted on ChatGPT feedback. Screen recordings and interviews showed active checking alongside frustration with vague advice and excessive praise. Learners did not simply accept every suggestion. The findings illuminate feedback uptake in one translation task, while leaving comparative effectiveness and durable translation learning for future studies with broader samples and stronger designs.