FoL 2026
EDM

Programming & Learner Simulation

Fri Jul 3, 2:00 PM–3:15 PM · North 209
Programming & CS Education Synthetic Data & Simulated Learners Educational Data Mining Methods
★ Notable speakers
Mark Warschauer ★★ — Technology and language learning; digital literacy; AI in education; Digital Learning Lab at UC Irvine
Juho Leinonen ★ — LLMs in computing education; code generation; AI-assisted programming for novices; CS education research
Arto Hellas ★ — Computing education; MOOCs; learning analytics for programming; generative AI in CS teaching

EDM #19 | Long/Short Paper Session

4 talks in this session

A Psychometric Framework for Context-Conditional Evaluation of LLM Tutoring in Programming Education
Jinnie Shin, Zhe Li, Pauline Aguinalde, Laura Cruz Castro
Intelligent Tutoring Systems Generative AI & Large Language Models Automated Assessment & Scoring
Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation
Charles Koutcheme, Juho Leinonen, Arto Hellas
Generative AI & Large Language Models Learner & Student Modeling Synthetic Data & Simulated Learners
Simulating Students’ Java Programming Errors with Large Language Models
Ali Keramati, Jie Cao, Iman Mohammadi, Mark Warschauer, Yang Shi
Generative AI & Large Language Models Synthetic Data & Simulated Learners Programming & CS Education
Multimodal Learning Analytics for Programming: Cognitive Difficulties, Attention Dynamics, and Physiological Regulation
Huiyong Li, Boxuan Ma
Affect & Engagement Detection Multimodal Learning Analytics Programming & CS Education