AI in Education #4: Five Things I Learned From Carl Hendrick About Why This Time It Really Is Different
In the fourth episode of the AI in Education podcast, Carl Hendrick argues that AI is finally poised to transform schooling because it is built on solid learning science rather than hype. He highlights how modern AI can collect granular data—latency, error patterns, and forgetting curves—and use that to personalize retrieval practice and curriculum sequencing. Hendrick describes Alpha School’s hybrid model, where AI‑driven apps handle content delivery while human "guides" provide one‑on‑one support, at a tuition of roughly $40,000 per year. The conversation contrasts sharply with Adam Boxer’s view that AI will not revolutionise education, underscoring a split in expert opinion.
AI in Education #1: Five Things I Learned From Daisy Christodoulou About AI and Assessment
The blog recaps a conversation with Daisy Christodoulou of No More Marking, tracing AI’s shift from skepticism in 2022 to practical use in education by 2025. Key insights include the pitfalls of surface‑level performance metrics, the superiority of comparative judgement...