GUEST PODCAST: Ed-Technical Season 2 Episode 11
Authors
This season Libby Hills from the Jacobs Foundation and AI researcher Owen Henkel continue to speak with leading researchers, practitioners and educators on the Ed-Technical podcast series about the cutting edge of AI in education. They will break down complex AI concepts into non-technical insights to better understand what the research says and help educators sift the useful insights from the AI hype.
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 Initiative
Generative AI Research Repository
Authors