FoL 2026
L@S

AI in STEM Education @ Scale

Tue Jun 30, 3:45 PM–5:00 PM · North 205
Science & STEM Inquiry Learning at Scale & MOOCs Generative AI & Large Language Models
★ Notable speakers
Vinitra Swamy ★ — Explainable and fair AI for education; multimodal learning (MultiModN); knowledge tracing; student-success prediction
Tanja Käser ★ — Knowledge tracing; student modeling; machine learning for education at EPFL
April Murphy ★ — Learning engineering; AI-personalized math learning; large-scale field trials in education

A session grouping L@S papers on AI applications in STEM education at scale.

3 talks in this session

AI Teaching Assistants at Scale: Cross-Disciplinary Patterns of Adoption and Cognitive Engagement Across Hundreds of University Courses
Chia-Kai Chang, Kuei-Hao Li
Generative AI & Large Language Models Conversational AI & Chatbot Tutors Affect & Engagement Detection
The Impact of Reward System Visibility on Student Engagement and Learning Outcomes in a Digital Math Platform
Rae Bastoni, Tyree Cowell, April Murphy, Patrick McMahon, Kole Norberg
Mathematics Education Motivation, Gamification & Engagement K-12 Education
Turning 500+ Students into Teachers: A Semester-Long Study of an AI Teachable Agent in an Undergraduate Algorithms Course
Chenyang Wang, Christopher Petrie, Miltiadis Stouras, Nicolas Ettlin, Amaury George
Generative AI & Large Language Models Programming & CS Education Learning-by-Teaching & Teachable Agents