Stanford HAI 2025 AI+Education Summit: Harnessing AI to Understand and Advance Human Learning

Victor Lee, Emma Brunskill and Michael Frank present what their labs have found when AI is turned on educational data rather than turned loose in a classroom, covering AI-driven training and evaluation, what large-scale learner data reveals about how people acquire skills, and where the measurement breaks down. This is the evidence layer underneath the arguments the rest of this library reports, delivered by researchers who will name the limits of their own findings. Watch it when you need to know what is actually established before a committee asks you to defend a position, and expect it to make you less certain rather than more.

Task

Teaching & course design

Time

47 min

Level

advanced

Cost

Free — Nothing to pay. A free account at most.

Tools

None in particular

Published

2025-03