Comment les technologies éducatives devraient-elles s'intégrer dans les cours de mathématiques ?
PODCAST INVITÉ : EdTechnical, saison 3, épisode 7
Cette saison, Libby Hills, financeuse du secteur des technologies éducatives, et Owen Henkel, chercheur en intelligence artificielle, continuent de dialoguer avec des chercheurs, des praticiens et des éducateurs de premier plan sur le sujet. Série de podcasts EdTechnical Ce module porte sur les dernières avancées en matière d'IA dans l'éducation. Il vulgarise les concepts complexes de l'IA pour les rendre accessibles à tous, permettant ainsi aux enseignants de mieux comprendre les résultats de la recherche et de distinguer les informations pertinentes du simple effet de mode.
Dans cet épisode de EdTechnique, Libby and Owen sit down with Dan Meyer: math educator, EdTech innovator, and self-proclaimed “token AI skeptic”. Dan’s rare mix of classroom experience and product design insight gives him a unique perspective on how technology intersects with real classrooms. He shares what the classroom teaches him about student engagement, the challenges teachers face, and why motivations is deeply social – which EdTech can overlook.
They dig into how AI can support creativity and connection, why great math teaching starts with inviting and developing, and where “AI guy” might be missing the point. Plus, Dan reveals the AI project he’s excited about and what it means for teachers.
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TeacherTapp survey on teacher AI use
EdTechnical’s forecasting competition – date limite le 16er décembre
Résumé du CV
Dan Meyer taught secondary maths to students who didn’t like secondary maths. He has advocated for better maths instruction on CNN, Good Morning America, Everyday With Rachel Ray, and TED.com. He earned his doctorate from Stanford University in maths education and is the Vice President of Teacher Growth at Amplify where he explores the future of maths, technology, and learning. He has worked with teachers around the world, calls Oakland home, and taught eighth graders there yesterday.