Teaching & Learning
AI in the classroom: pedagogy & assessment.
How instructors are designing courses, assignments, and assessments now that students have copilots at hand.
What AI is doing to teaching, assessment, and hiring — and the cross-institutional conversations we need to keep pace.
The program sits at the intersection of how we teach with AI, how we assess what students have learned, what the labor market is asking of graduates, and the peer networks that make any of this tractable across institutions.
The full slate of talks, panels, and discussions is still being assembled. Below is a representative sample of the conversations the day is being built around — additional sessions and speakers will be announced as plans firm up.
How instructors are designing courses, assignments, and assessments now that students have copilots at hand.
Shifts in hiring criteria, day-one job tasks, and the skills industry is screening for in an AI-saturated labor market.
A view from the publishers and edtech firms building the AI-native tools our students will use next.
How a central-bank perspective reads the evidence on AI's impact on productivity, employment, and wages.
Much of the value of this gathering will happen between sessions — across departments, institutions, and industries. Tell us a bit about yourself and what you'd like to bring: a proposed talk, a roundtable idea, a collaboration, or simply your interest in attending. We'll keep you posted as the program firms up.
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