AIED

AI in Mathematics Education

Tue Jun 30, 2:00 PM–3:15 PM · North 209

Mathematics Education Intelligent Tutoring Systems Generative AI & Large Language Models

★ Notable speakers

Candace Walkington ★ — Personalization of mathematics instruction by connecting math to students' interests; intelligent tutoring, generative AI, AR/VR in math learning

Wanli Xing ★ — Multimodal learning analytics; STEM education; collaborative learning; AI in online learning

April Murphy ★ — Learning engineering; AI-personalized math learning; large-scale field trials in education

Steve Ritter ★ — Co-founder and Chief Scientist of Carnegie Learning; co-developer of the Cognitive Tutor for mathematics; intelligent tutoring systems, knowledge tracing, educational data mining

AIED35 (HL) | Human-centered | Long-paper session

3 talks in this session

Using LLMs to score mathematics lessons for instructional quality with the UTOP

Katie Bainbridge, Jess Vitale, Candace Walkington

Generative AI & Large Language Models Automated Assessment & Scoring Mathematics Education

Who Benefits From Which Voice? Group-Differentiated Effects of Teachable Agent Voice Emotion Design on Achievement Emotions and Engagement Patterns in K-12 Mathematics Learning

Hai Li, Wanli Xing, Chenglu Li, Bailing Lyu

Affect & Engagement Detection Mathematics Education Motivation, Gamification & Engagement

Modality Matters: How Text, Audio, and Video Interactions Shape Student Engagement and Performance with AI Tutors in K–12 Mathematics

Tyree Cowell, Kole Norberg, Rae Bastoni, Unekwu Shaibu, April Murphy

Intelligent Tutoring Systems Affect & Engagement Detection Multimodal Learning Analytics