Students Need to Think About Their Thinking

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 useWhat new research suggests about metacognitive feedback and student learningThe difference between feedback that supports transfer and feedback that simply encouragesHow teachers can design AI feedback that prompts student reflectionWhy custom teacher-built chatbots need clearer instructional guardrailsWhat instructional coaches should ask when evaluating AI feedback toolsWhy district leaders should make feedback behavior part of AI procurement and professional developmentThe risk of AI tools optimizing for engagement instead of learningSources:https://news.gallup.com/poll/710534/teachers-receive-no-formal-guidance.aspxhttps://www.nature.com/articles/s41539-025-00311-8