Mr Barton Maths Podcast

Returning guest Zach Groshell, author of Just Tell Them, explains how he designs Direct Instruction maths apps for Alpha School. They cover the US school system, why most education apps fail, how atomisation and mastery work on a screen, the limits of data and motivation, and why he chose a different school for his own daughter. Access the show notes here: podcast.mrbartonmaths.com/226-ai-in-education-with-zach-groshell

In this AI in Education episode, Craig Barton welcomes back Dylan Wiliam to discuss what generative and extractive AI mean for assessment, teaching and the purpose of schooling. Wiliam argues the evidence base is thin, urges caution about education's long feedback loops, and distinguishes cognitive offloading from cognitive outsourcing. Access the show notes here: podcast.mrbartonmaths.com/225-ai-in-education-with-dylan-wiliam

Kris Boulton returns for the AI in Education mini-series. He shares how Claude has become fully woven into his daily work, gives a candid first-hand account of his visit to Alpha School in New York, and digs into where AI now sits for creating high-quality maths resources — and where it still falls short. Access the show notes here: podcast.mrbartonmaths.com/224-ai-in-education-with-kris-boulton

Grainne Hallahan, formerly an English teacher, now runs the questions at Teacher Tapp — the app that surveys more than 10,000 teachers a day. She came on with five AI-related findings from the archive, on cheating, lesson planning, attendance targets, and whole-school policies, plus three favourite Teacher Tapp findings to finish. Access the show notes here: podcast.mrbartonmaths.com/223-what-do-10000-teachers-think-about-ai

In this long-awaited sequel (eight years after her last appearance), Craig welcomes back Becky Allen — education researcher, co-founder of Teacher Tap, co-author of The Teacher Gap, and now a consultant to the US-based Alpha School chain — for a deep dive into AI in education, with a particular focus on AI as a personal tutor. Becky is a self-confessed AI optimist who uses LLMs for almost everything (with a fervent endorsement of WhisperFlow voice transcription as a game-changer for giving models richer context). She walks through what she's been seeing inside Alpha School, where students do roughly two hours a day on AI-powered learning apps and spend the rest of their time on project-based learning, sports, and life skills. Her clearest examples of where AI tutoring genuinely shines are in generative prerequisite-knowledge conversations and in forcing students to engage step-by-step with worked examples — pulling them out of the passive eye-darting that kills most textbook learning. From there, Craig walks her through a battery of common sceptical pushbacks (screen time, scalability, Alpha's wealthy demographic, motivation without an audience, the Khanmigo flop, applicability to the Global South, and the future of subject-specialist teachers) and Becky pushes back on each with characteristic nuance. Her core thesis: AI won't transform mainstream schools much — they're too operationally complex to bend — but it will enable a parallel world of micro-schools, alternative provision, and remote subject specialists, particularly for the growing population of persistently absent and home-educated children. The conversation closes with reflections on whether AI will take her own job (and what to advise her children) and a prediction that the most concrete thing AI will fix in mainstream schools is marking. View the show notes here: podcast.mrbartonmaths.com/222-ai-in-education-with-becky-allen