FoL 2026
AIED

Learning More with Less: LLM-Supported Self-Explanation Enhances Transfer in Calculus

Thu Jul 2, 2:00 PM–2:15 PM · North 210
Part of Generative AI as a Partner in Mathematics Education
Mathematics Education Generative AI & Large Language Models Self-Regulated Learning Metacognition & Reflection
★ Notable speakers
Ken Koedinger ★★ — Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED
Jionghao Lin ★ — Dialogue-based intelligent tutoring, NLP for educational feedback, AI-driven tutor training
Tongshuang Wu ★ — Human-centered NLP; behavioral testing of NLP models (CheckList); interactive AI debugging

Shows that LLM-supported self-explanation prompts improve transfer in calculus, letting students learn more while reviewing less material.

Authors

Eason Chen, Xinyi Tang, Yvonne Zhao, Meiyi Chen, Meryam Elmir, Elizabeth Mclaughlin, Nina Yuan, Isabel Wang, Shyam Agarwal, Jared Cochrane, Jionghao Lin, Tongshuang Wu, Ken Koedinger