AIED
Generative AI as a Partner in Mathematics Education
Thu Jul 2, 2:00 PM–3:15 PM · North 210
★ Notable speakers
Hal Abelson
★★
— Logo (Apple II) and MIT App Inventor; computing education pioneer; co-founder of Creative Commons and FSF
Richard Baraniuk
★★
— Founder of OpenStax open educational resources; open education movement; signal processing and compressive sensing
Debshila Basu Mallick
★
— AI in education research and practice; learning context frameworks; adaptive learning at scale via OpenStax/SafeInsights
Candace Walkington
★
— Personalization of mathematics instruction by connecting math to students' interests; intelligent tutoring, generative AI, AR/VR in math learning
Andrew Lan
★
— Machine learning and NLP for personalized learning, knowledge tracing, automated assessment
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
AIED63 (HS) | Human-centered | Short-paper session
5 talks in this session
Learning More with Less: LLM-Supported Self-Explanation Enhances Transfer in Calculus
Eason Chen, Xinyi Tang, Yvonne Zhao, Meiyi Chen, Meryam Elmir
Exploring Teachers’ Perspectives on Using Conversational AI Agents for Group Collaboration
Prerna Ravi, Carúmey Stevens, Beatriz Flamia, Jasmine David, Brandon Hanks
GenAI-supported Mathematical Storytelling: How Deep Is Optimal? A Three-Group Study of Cognitive Gains
Jingyuan Qiu, Sheng Chang, Wei Wei, Ziqi Chen
Mathematics Teachers’ Interactions with a Multi-Agent System for Personalized Problem Generation
Candace Walkington, Theodora Beauchamp, Fareya Ikram, Merve Koçyiğit Gürbüz, Fangli Xia
A randomized blind comparison of SME and LLM-generated active learning tasks for math classes
Katie Bainbridge, Jack Strelich, Debshila Basu Mallick, Richard Baraniuk