181 Papers Later: What We Know (and Don't) About GenAI in Schools

In this episode, Owen and Libby chat with Chris Agnew about Stanford's new generative AI hub for education. Chris leads this initiative within Stanford's SCALE program, which aims to be a trusted source for education system leaders on what works in AI and learning.Chris walks us through their research repository of 181 papers examining AI's impact in K-12 education. He outlines their GenAI tools typology which breaks down AI applications into three categories: efficiency gains, improving student outcomes, and reimagining schooling. The conversation explores key research gaps, including how schools can productively engage with teachers' unions on AI adoption and understanding how students use AI tools for homework - the "elephant in the room" that keeps education leaders up at night.Before joining Stanford, Chris worked in non-traditional learning environments from wilderness education to apprenticeship programs. He shares both aspirational and practical visions for AI in education over the next five years - though sadly, none involve Owen's hoped-for cyborg centaur tutors (yet).Links:Stanford Accelerator for Learning SCALE InitiativeGenerative AI Research RepositoryJoin us on social media: BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)Listen to all episodes of EdTechnical here: https://bold.expert/ed-technical Subscribe to BOLD’s newsletter: https://bold.expert/newsletter Stay up to date with all the latest research on child development and learning: https://bold.expertCredits: Sarah Myles for production support; Josie Hills for graphic design; Anabel Altenburg for content production.