Sun Jun 28 · 9:00 AM · Multicampus Room 701, 702
Small Language Models for Education: Opportunities, Challenges, and a Shared Research Agenda
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C
Christopher Brooks
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1 session speaking
Known for
MOOC data analysis, learning analytics, educational data mining, predictive student modeling, fairness in learning algorithms, MOOC Replication Framework (MORF); Associate Professor at University of Michigan School of Information
Recognition
Best Full Research Paper Award at LAK (slicing analysis of fairness in predictive student models)