In this episode we explore what effective feedback looks like in AI-assisted classrooms, and why the design of that feedback matters more than the novelty of the tool.

Topics covered:

• Why many teachers are still receiving little guidance on classroom AI use
• What new research suggests about metacognitive feedback and student learning
• The difference between feedback that supports transfer and feedback that simply encourages
• How teachers can design AI feedback that prompts student reflection
• Why custom teacher-built chatbots need clearer instructional guardrails
• What instructional coaches should ask when evaluating AI feedback tools
• Why district leaders should make feedback behavior part of AI procurement and professional development
• The risk of AI tools optimizing for engagement instead of learning

Sources:

https://news.gallup.com/poll/710534/teachers-receive-no-formal-guidance.aspx

https://www.nature.com/articles/s41539-025-00311-8