Professor Charles Harry at the University of Maryland uses AI to enable coding novices to complete complex programming tasks in 13 weeks, reflecting research showing AI-assisted personalized learning improves knowledge retention and competence.

Research from Anthropic analyzing 74,000 conversations shows university professors primarily use AI for curriculum development (57%), academic research (13%), and grading (7%), automating administrative tasks while collaborating with AI on teaching design.

Stanford's third AI+Education Summit addressed how to center humanity in AI learning, with researcher Victor Lee highlighting the need for a common AI literacy framework that covers using, understanding, and critically evaluating AI—now urgent as California mandates K-12 AI literacy education.