Mr Barton Maths Podcast #218 AI in Education with Carl Hendrick
Apr 1, 2026
Carl Hendrick, education researcher and co-author of How Learning Happens, explores AI’s role in curriculum design and personalised instruction. He discusses why AI feels different now and how platforms can embed learning science. Practical app mechanics, teacher roles as guides, and how large-scale data may reshape what we know about spacing and retrieval are highlighted.
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Episode notes
Alpha School Mornings Then Afternoons
- Alpha School runs mornings of 1–2 hours on devices using AI tutors, then afternoons for sports and social activities.
- Hendrick visited Alpha, observed Timeback monitoring (waste meter, latency) and found students gained more tutor-like interactions, not fewer.
Monitor Time On Task Rigorously
- Enforce accountability and monitor time-on-task when students learn on devices to prevent dropout.
- Hendrick highlights tools like a 'waste meter' that tracks latency, off-task sites and flags disengagement so guides can intervene.
Curriculum Must Match Subject Texture
- Curriculum decomposability varies by subject; maths is well-defined but English and history have semantic gravity.
- Hendrick stresses sequencing, context-rich vocabulary, and distinguishing near-miss terms (metaphor vs simile) for effective app design.
