AI RESEARCH
Understanding Teacher Revisions of Large Language Model-Generated Feedback
arXiv CS.CL
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ArXi:2603.27806v1 Announce Type: new Large language models (LLMs) increasingly generate formative feedback for students, yet little is known about how teachers revise this feedback before it reaches learners. Teachers' revisions shape what students receive, making revision practices central to evaluating AI classroom tools. We analyze a dataset of 1,349 instances of AI-generated feedback and corresponding teacher-edited explanations from 117 teachers.