Teaching Students to Engage With AI Feedback
What if students could get instant, thoughtful feedback without compromising their learning? We recently came across Anna Mills’ approach to AI feedback as a low-risk way for educational AI use.
This approach tackles three key educational needs:
- Preserving student voice: Students maintain ownership of their ideas and voice while still getting AI support to improve their thinking
- Building AI literacy: Students learn to question, push back, and iterate rather than accept AI responses at face value
- Avoiding integrity issues: Since students reflect on feedback, not having AI generate their content, their integrity stays intact
After reading Anna's work on the topic, we had to have her on a webinar. We're excited to announce she'll be joining us for a free webinar next Tuesday, Oct. 7th. In this session, educators will learn strategies to help students intentionally engage with AI feedback—building essential skills for navigating AI in all areas of life.
Key topics we will cover:
- The Peer & AI Review + Reflection (PAIRR) feedback prompt: Designed by educators to help students see their work through readers' eyes—identifying strengths and areas for revision
- Scaffolding critical engagement: Seven practical strategies for teaching students to iterate with AI feedback, including how to push back on suggestions, explore uncertainties, and seek contradictory perspectives.
- Protecting human connection: Why teacher and peer feedback remain essential, and how AI can supplement rather than replace these interactions.
- Hands-on practice: Work with real examples to test iteration strategies in action.
Can’t make the time? A recording + resources will be emailed to all registrants. You can register for the webinar here.
