Getting the most out of AI feedback

Summary

Student-facing strategies, including a failure of flattery.

Mills recommends challenging feedback, requesting clarification, adding missing concerns and eventually seeking human readers. Her own example shows repeated chatbot praise reinforcing an over-detailed workshop description until a colleague intervened.

Use the piece to practice explaining acceptance and rejection of advice. More feedback does not automatically mean better revision.

Use requires checking the specific course’s rules.