FoL 2026
AIED

Multi-Agent Learning Environments

Mon Jun 29, 9:00 AM–10:15 AM · North 206
AI Agents & Agentic Systems Adaptive & Personalized Learning Collaborative Learning & CSCL
★ Notable speakers
Sahan Bulathwela ★ — AI-driven personalization of educational content; knowledge tracing (TrueLearn); recommender systems for education at scale
Hyo-Jeong So ★ — Mobile and seamless learning; technology-enhanced science education; CSCL
Meng Xia ★ — Human-AI interaction for learning; data visualization; adaptive education technology

AIED06 (HS) | Human-centered | Short-paper session

5 talks in this session

ArguMath: AI-Simulated Environment for Pre-Service Teacher Training in Orchestrating Classroom Mathematics Argumentation
Jiwon Chun, Yuling Zhuang, Armanto Sutedjo, Colin Xu, Rong Ren
AI Agents & Agentic Systems Mathematics Education Collaborative Learning & CSCL
CLEM: Constrained Learning Environment Models for Simulating Human Cognitive Processes
Zheng Fang
AI Agents & Agentic Systems Learner & Student Modeling Educational Data Mining Methods
Who Do Learners Ask for Help? Modeling Social Role Diversity in Agentic AI for Educational Help-Seeking
Richard David, Sachin Singh, Dr. Sumit Kalra
AI Agents & Agentic Systems Learner & Student Modeling Human–AI Collaboration & Agency
Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning
Moiz Imran, Sahan Bulathwela
Intelligent Tutoring Systems Generative AI & Large Language Models Learner & Student Modeling
An Adaptive Multi-Agent Learning Environment for Interprofessional Communication Training in Nursing Education
Eunyoung Kim, Hyosung Park, Subin Yu, Jiyeong Shin, Hyo-Jeong So
AI Agents & Agentic Systems Conversational AI & Chatbot Tutors Adaptive & Personalized Learning