AIED
Multi-Agent Systems for Mathematics Education
Wed Jul 1, 10:45 AM–12:00 PM · North 209
★ Notable speakers
Candace Walkington
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— Personalization of mathematics instruction by connecting math to students' interests; intelligent tutoring, generative AI, AR/VR in math learning
Andrew Lan
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— Machine learning and NLP for personalized learning, knowledge tracing, automated assessment
Wanli Xing
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— Multimodal learning analytics; STEM education; collaborative learning; AI in online learning
Yasemin Copur-Gencturk
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— Mathematics teacher professional development; teacher knowledge measurement; technology-enhanced teacher learning
AIED43 (TL) | Technical | Long-paper session
3 talks in this session
A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems
Fareya Ikram, Nischal Ashok Kumar, Junyang Lu, Hunter McNichols, Candace Walkington
ALLM-Driven Multi-Agent System for Professional Development of Mathematics Teachers
Hang Li, Kaiqi Yang, Yucheng Chu, Ahreum Han, Rui Meng
When to Stop? An Experimental Study on AI Teachable Agent Stopping Mechanisms and Their Learning Affordances in Mathematics
Yinqi Zhang, Chenglu Li, Gökhan Gülfidan, Hai Li, Magdalena Castaneda-Rios