In March 2026, Stanford’s AI Hub for Education began compiling its “Evidence Base” on AI in K-12. The full collection of K-12 relevant papers now exceeds 1,600. As of November, Stanford researchers have identified 52 that feature systematic comparisons of outcomes in AI and non-AI conditions. Jeremy and Betsy talk with AI Hub for Education director, Chris Agnew about the still emerging conclusions.
Chris Agnew leads the AI Hub for Education, part of the SCALE Initiative at Stanford University. The Hub aims to be the trusted source for education system leaders on what works, and what doesn’t, on AI in K-12 education. With over 25 years in education, Chris has taught and led both K12 schools and non-traditional learning environments adjacent to K12 and post-secondary. Committed to learning that is experiential, applied, and relevant. Before Stanford, Chris led US higher ed strategy and credentials for Multiverse, an edtech startup using professional apprenticeships as an alternative to college and university.
