
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.

The episode explores the emerging field of hyperrealistic, conversational video tutors—AI-driven visual agents that can engage learners in real‑time voice and video dialogue. It contrasts the old paradigm of static AI‑generated videos with a new responsive model that enables full...

The article highlights emerging hyperrealistic, conversational video tutors that act as face‑to‑face AI instructors. By combining lifelike visual agents with learning‑tuned models like Google’s LearnLM, these tutors can conduct real‑time dialogue, ask probing questions, and adapt to student responses. Companies...