Que savons-nous réellement de l'IA générale dans le domaine de l'éducation ?
PODCAST INVITÉ : Ed-Technical Saison 2 Épisode 11
Auteurs
Cette saison, Libby Hills de Jacobs Foundation et le chercheur en IA Owen Henkel continuent de s'entretenir avec des chercheurs, des praticiens et des éducateurs de premier plan sur le sujet. Série de podcasts Ed-Technical 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.
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).
Liens
Stanford Accelerator for Learning SCALE Initiative
Generative AI Research Repository
Auteurs