AI in Edu: Signals & Moves (Feb 20, 2026)

Summary

In this episode Tom outlines three emerging signals in AI for education: the rise of agentic AI that can complete LMS tasks, the shift from optional chatbots to embedded AI feedback within grading workflows, and growing concerns about platform fatigue alongside new education‑specific AI benchmarks. He recommends three concrete moves: pilot AI‑suggested feedback with clear guardrails, publish a proactive agentic AI policy, and enforce a compatibility checklist before adopting new tools. The highlighted tool for piloting is Google Classroom’s AI‑suggested feedback, with a suggested 3‑week trial to measure time savings, feedback quality, and student outcomes.