Workshop
Small Language Models for Education: Opportunities, Challenges, and a Shared Research Agenda
Sun Jun 28, 9:00 AM–6:00 PM · Multicampus Room 701, 702
Generative AI & Large Language Models Low-Resource & Multilingual Contexts Adaptive & Personalized Learning
★ Notable speakers
Steven Moore
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— Learner sourcing; human-AI collaboration for educational content creation; NLP for assessment and feedback
Paulo F. Carvalho
★
— Cognitive science of learning, spacing and interleaving effects, AI-driven adaptive learning systems
Christopher Brooks
★
— 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
This workshop is all about small language models (SLMs). Join us for an inter-community discussion of what SLMs are, what they can offer, and what they struggle with in educational settings. Opportunities to co-author a white paper describing a shared research agenda based on the discussion.
Speakers
- Yumou Wei
- Steven Moore — Carnegie Mellon University
- Paulo F. Carvalho
- John Stamper
- Christopher Brooks
- Michael Liut