AIED
Who Benefits from LLM-Generated Learning Support Messages? Causal Evidence on Treatment Effect Heterogeneity
Wed Jul 1, 4:30 PM–4:45 PM · North 210
Automated Feedback Generative AI & Large Language Models Adaptive & Personalized Learning Equity, Fairness & Inclusion
★ Notable speakers
Tom Mitchell
★★
— Machine learning; AI in education; knowledge components; large-scale online learning
Uses causal methods to identify which students benefit most from LLM-generated learning support messages, revealing treatment effect heterogeneity.
Authors
Aylin Ozturk, Gati Aher, Tom Mitchell, Mustafa Kemal Birgin, Hüseyin Kayhan