Education Futures

Svenia Busson & Laurent Jolie

A podcast about the future of education in the age of AI. We bring together interdisciplinary voices to explore how we can shape more desirable futures for learning.

  1. Wartime lessons: Ukraine's bet on AI in education

    13 hr ago

    Wartime lessons: Ukraine's bet on AI in education

    Oksana Matiiash is the CEO of WINWIN EdTech Center of Excellence, Ukraine's national hub for technology and innovation in education. Launched in December 2025 under Ukraine's Global Innovation Strategy, the Center generates evidence through research and foresight and pilots education technologies, including AI, while Ukraine navigates a full-scale war. It also brings together government, educators, researchers, startups, and global partners to scale innovations that improve learning. The Center's partners include the Ministries of Digital Transformation and of Education and Science of Ukraine, UNICEF, Google for Education, OpenAI, Estonian Centre for International Development (ESTDEV). Oksana holds a Master of Public Policy from the University of Oxford, where she studied as a Weidenfeld-Hoffmann Scholar, and a law degree from Taras Shevchenko National University of Kyiv. In this episode, Oksana talks with Svenia Busson about: Why Ukraine launched a national EdTech Center to accelerate education innovation during the war and in the age of AILeading wartime emergency education — and what crisis taught her about what school systems actually needThe WINWIN EdTech Center's three pillars: research and foresight, innovation and pilots, ecosystem-buildingUkraine's new OpenAI-funded study on how AI is shaping learning for students living through years of disrupted schoolingWhy teachers, not students, come first in her AI rollout — even as kids learn to prompt on TikTokThe World Bank-backed RCT where six weeks of tech-assisted tutoring closed months of learning lossBuilding a "Responsible AI" framework with teachers as co-designers, not just recipientsThe critical-thinking and learning-agency skills she considers non-negotiable in an information war

    49 min
  2. Alpha School: 2 hours of academics, the rest for life skills

    4 days ago

    Alpha School: 2 hours of academics, the rest for life skills

    MacKenzie Price is the co-founder of Alpha School and the AI-driven 2 Hour Learning model that powers it, a Stanford-trained psychologist who left the traditional path the day her daughter came home from second grade and said, simply, "school is boring." In 2014, working alongside the colleague she still calls "the OG, the Original Guide," Price opened the first Alpha campus in Austin, Texas, betting that AI-personalized, mastery-based instruction could compress a full day of core academics into two hours. The bet paid off: Alpha students now grow two to five-and-a-half times faster than peers on NWEA MAP Growth assessments, and the model has expanded to more than 50 campuses, including Texas Sports Academy (low-to-no-cost, athletics-focused, partly funded through Texas education savings accounts) and Waypoint Academy, a wilderness-based program. This fall she's taking the model international, with new World School campuses opening in Ecuador and Kenya, building on an earlier pilot that brought the model to roughly 1,000 Ukrainian refugee students. Price built Alpha around three commitments: kids learn twice the material in a fraction of the time, kids build real-world life skills through afternoon workshops, and — first and foremost — kids love school. By Alpha's own surveys, 95% of students say they do, and as many as 60% say they'd rather be in class than on vacation. She hosts her own Future of Education podcast and shares Alpha's experiments with more than a million followers across social media. In this episode, MacKenzie talks with Svenia Busson about: Why AI-driven mastery learning can compress a school day into two hours — without losing depthThe "guide" model — trading lesson plans and lectures for one-on-one motivation and emotional coachingCognitive load theory in practice — keeping every student in their own zone of productive strugglePaying kids to learn — the financial-literacy logic behind Alpha's motivation systemTexas Sports Academy and the wilderness-based Waypoint Academy — turning "selection bias" into a design principleBringing the model into public schools, and new World School campuses launching in Ecuador and KenyaAlpha X projects — the teenagers behind a self-produced Broadway musical, a six-figure jewelry brand, and CPR-certified rescue trainingWhy MacKenzie believes philosophy, not computer science, is becoming education's most valuable subject

    55 min
  3. What AI is doing to a generation of disengaged kids

    29 Jun

    What AI is doing to a generation of disengaged kids

    Jenny Anderson is an award-winning journalist and author with 25 years in the field, including a decade covering finance at The New York Times — where she won a Gerald Loeb Award in 2008 for her coverage of Merrill Lynch ahead of the 2008 financial crisis. She later pioneered coverage of the "science of learning" at Quartz, and now contributes to The New York Times, The Atlantic, and The Washington Post. She is the co-author, with Rebecca Winthrop (Director of the Center for Universal Education at Brookings), of The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better (thedisengagedteen.com) — the product of five years of research, including a survey of more than 65,000 students and 2,000 parents conducted with Brookings and Transcend, into why so many children lose their love of learning in adolescence. She writes the weekly Substack newsletter How to Be Brave, reaching tens of thousands of educators and parents. She is a senior fellow at the Center for Teen Flourishing and co-host of Ask the Kids, a podcast with Transcend Education. In this episode, Jenny talks with Svenia Busson about: The disengagement gap — why 75% of kids love school in primary years, but only 25% still do by 10th gradeThe Four Modes framework — Passenger, Achiever, Resistor, and Explorer — and why fewer than 4% of students land in Explorer modeWhy phones and AI aren't the root cause of the teen mental-health crisis — academic pressure consistently ranks higherSchool models built for agency — Big Picture Learning's semester-long internships, Red Bridge School, and Valor Collegiate Academies' "school within a school"Assessment in the age of AI — competency-based learning, portraits of a graduate, and why parents resist abandoning high-stakes exams like the GCSEsThe AI silence at home — why most teens use AI regularly while few talk to their parents about itAI, writing, and "cognitive stunting" — what outsourcing the first draft costs a developing thinker, building on Rebecca Winthrop's NYT piece on AI and creativityWhat parents can actually do — testing the tools themselves, and protecting space for productive struggle

    54 min
  4. What "no tech sundays" can teach us about AI

    25 Jun

    What "no tech sundays" can teach us about AI

    Bethany Koby-Hirschmann is a designer, social entrepreneur, and co-founder and Chief Vision Officer of Fam Studio, a research and design practice based in Somerset, England. She holds a BA from the Rhode Island School of Design and an MSc in Responsibility and Business Practice from the University of Bath, and is completing a PhD on youth co-creation and the uses of enchantment. In 2012, after finding a discarded laptop in a skip near her home in East London, she co-founded Tech Will Save Us with her husband, Daniel Hirschmann, on the conviction that children should be producers of technology, not just consumers of it. Tech Will Save Us grew into a STEAM company selling in 97 countries and partnered with the BBC, Microsoft, Samsung, and ARM to design the BBC micro:bit — a pocket-sized computer distributed free to a million UK children that has since reached more than four million users worldwide. After selling the company in 2021, Bethany founded Fam Studio, which co-creates with families and children to build technologies, learning content, and experiences centered on people and the planet. Current projects include a multimodal "Imagination Tool" that uses generative AI to bring children's voices into large-scale co-creation, and a wellbeing-and-AI research partnership with Oxford's Reuben College and its Child-Centred AI Design Lab. In this episode, Bethany talks with Svenia Busson about: Finding a laptop in a skip — the origin story behind Tech Will Save UsDesigning the BBC micro:bit with Microsoft, Samsung, and ARM — reaching four million children across 97 countriesWhy Fam Studio exists to serve "the village," not just the childTechno-optimism versus AI anxiety — holding both at onceWhether AI reinforces the industrial-era school model or finally breaks it openBuilding the "Imagination Tool" — using generative AI to bring children's voices into co-creation at scale"No Tech Sundays" and the house rules her family set for her teenager's AI useMoving from human-centered to life-centered design — what biomimicry teaches educators She closes with future-guest picks: Caroline Essame, author of Why Nature Matters (Routledge); Noan Fesnoux, creative adviser to Dubai's Museum of the Future (LinkedIn); Liz Robinson, CEO of Big Education (bigeducation.org); and Jenny Gibson of Cambridge's PEDAL Centre (pedalhub.net).

    43 min
  5. Education Futures Live: AI & Education Meetup (London)

    23 Jun

    Education Futures Live: AI & Education Meetup (London)

    This special episode is a recording of a live panel discussion from the AI & Education Meetup series, hosted by Education Futures at the London Interdisciplinary School (LIS). Svenia is joined by four guests at the intersection of AI and learning: Ash Brockwell, LIS associate professor and lead of the new Education Futures master's; Niccolò Pescetelli, LIS associate professor leading the AI & Collective Intelligence program; Stephen Jull, GeoGebra GmbH co-founder now Global Head of AI Educational Technology at Teach For All; and Bibi Groot, behavioral scientist and Chief Impact Officer at Eedi, who runs large-scale RCTs on AI tutors. The conversation moves through what it means to "learn" when AI can retrieve and summarize anything instantly, the risk of cognitive offloading and "cognitive surrender," and evidence from a 12-week chess RCT on hints and productive struggle. The panel also digs into relationality and embodied learning, how Teach For All is building AI literacy at scale across 63 countries, tools designed to cut screen time while still using AI (like Eedi's QR-code diagnostic system), and closes with each guest's vision of a preferable — not just probable — future for education, including a sharp reminder from the audience that 70% of children globally still lack basic literacy access. Recorded live in London as part of Education Futures' ongoing meetup series exploring desirable futures for education in the age of AI.

    54 min
  6. Why we can't teach AI Literacy yet

    22 Jun

    Why we can't teach AI Literacy yet

    Justin Reich is an Associate Professor at MIT and Director of the MIT Teaching Systems Lab, author of Failure to Disrupt (Harvard University Press), host of the TeachLab podcast, and the force behind The Homework Machine — a landmark 7-part podcast series investigating what's really happening with AI in classrooms across the US. We asked him, one of the most respected education technology researchers in the world a simple question: how should schools teach students to use AI? His answer? We don't know yet, and pretending we do is the problem. In this conversation with Svenia Busson, Justin explores: Why "AI literacy" follows the same broken playbook as digital citizenship and computational thinking — and will likely fail students the same wayWhat the history of web literacy teaches us: it took 25 years to find strategies that actually workWhy domain expertise — not AI knowledge — may be the most critical factor in using AI wellWhat to make of "AI-powered" schools like Alpha SchoolWhat students themselves are saying: two-thirds of US students say AI is harming their critical thinkingWhy "the homework machine" is the most honest name for what's happening in classrooms today Also mentioned in this episode: Mike Caulfield's SIFT framework for teaching web literacy: https://guides.lib.uchicago.edu/c.php?g=1241077&p=9082322A Guide to AI in Schools: Perspectives for the Perplexed — MIT Teaching Systems Lab guidebook (August 2025) https://tsl.mit.edu/wp-content/uploads/2025/08/GuideToAIInSchools.pdf"Stop Pretending to Know How to Teach AI" — Justin's article in the Chronicle of Higher Education (November 2025) https://www.chronicle.com/article/stop-pretending-you-know-how-to-teach-aiThe Homework Machine podcast: https://podcasts.apple.com/us/podcast/the-homework-machine-what-ai-is-really-doing-in-classrooms/id583456652?i=1000747231954 (a must listen)

    54 min
  7. Measuring the real impact of AI in education

    18 Jun

    Measuring the real impact of AI in education

    What does it actually take to know if an AI tutor is helping kids learn? Bibi Groot, Chief Impact Officer at Eedi Labs, has spent her career answering exactly that question — first at the Behavioral Insights Team (aka the Nudge Unit, co-founded with Nobel laureate Richard Thaler), then in classrooms across the UK and Latin America. In this episode, Bibi walks us through how Eedi's diagnostic engine works — 60,000 carefully designed multiple-choice questions, each distractor linked to a specific misconception — and why understanding why a student gets something wrong matters as much as knowing they got it wrong. Bibi also introduces a concept that should alarm everyone in edtech: cognitive surrender — the risk that when AI does all the thinking, students stop learning altogether. Her solution is architectural: don't ask students to self-regulate, build the constraints directly into the system. She references a striking study by Poulidis and Bastani on chess students — those who received AI hints at system-chosen moments improved 64% vs. only 30% for those who could ask for help whenever they wanted. This is a rare, rigorously evidence-based conversation about what responsible AI tutoring actually looks like — and how far most of the field still has to go. References mentioned in this episode: Behavioral Insights Team (the Nudge Unit)Eedi Labs — including the free Eedi School platformGoogle DeepMind's LearnLMLearning Engineering Virtual Institute (LEVI) — created by Schmidt Futures & Renaissance PhilanthropyDavid Yeager, 10 to 25: The Science of Motivating Young PeopleAI Hub for Education (Stanford) — reviewed 800+ papers on AI in education; only 20 had causal evidencePoulidis & Bastani chess study (system-chosen AI hints → 64% improvement vs. 30% for on-demand help)London EdTech Week — Meet Bibi & Svenia at the London AI & Education Meetup on June 18, 2026

    36 min
  8. Making AI safe for children before it's too late

    15 Jun

    Making AI safe for children before it's too late

    Anne-Sophie is the co-founder and Executive Director of everyone.ai, a Silicon Valley nonprofit bridging artificial intelligence and developmental neuroscience. She is also the Chief Program Officer of iRAISE (International Research-driven Alliance for AI Serving Every child), the global coalition she launched at the Paris AI Action Summit alongside 11 governments, UNESCO, UNICEF, and companies including OpenAI, Anthropic, and Google. In this episode, she and Svenia explore why children's brains are not mini adult brains, and why that changes everything for AI design. They discuss the critical developmental windows AI is currently disrupting (0–6 for language acquisition; 12–14 for social skills development), what the research on teenagers and anthropomorphic AI actually shows, and where the line is between AI as a scaffold and AI as a crutch. Anne-Sophie also shares the story of how iRAISE was built in just three months, what a "proactive" approach to AI safety looks like in practice, and why regulating AI is actually easier when children are the focus. She also previews the AI Safety Builder, a new science-backed tool launching at VivaTech that helps EdTech founders evaluate how their conversational AI interacts with children, detecting anthropomorphic, interactional, and relational risk cues based on the work of 30+ researchers. Resources mentioned: everyone.ai — nonprofit at the intersection of AI and child developmentiRAISE Coalition — launched at the Paris AI Action Summit (February 2025) https://parispeaceforum.org/initiatives/beneficial-ai-for-children-coalition/Research: "Adolescents & Anthropomorphic AI: Rethinking Design for Wellbeing" https://everyone.ai/wp-content/uploads/2026/02/Adolescents-Anthropomorphic-AI-Rethinking-Design-for-Wellbeing-.pdfResearch: "Mapping of generative AI impacts on child development" — mapping of risks and opportunities by age group, contributed to the G7 agenda https://everyone.ai/wp-content/uploads/2026/05/Mapping-of-GenAI-impacts-on-child-development-1.pdfBook recommendation: Love to Learn by Isabelle Hau (Stanford) https://www.isabellehau.com/

    48 min

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A podcast about the future of education in the age of AI. We bring together interdisciplinary voices to explore how we can shape more desirable futures for learning.

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