FoL 2026
AIED

AI for Decoding Learning Processes from Student Traces

Wed Jul 1, 2:00 PM–3:15 PM · North 201
Learner & Student Modeling Educational Data Mining Methods Predictive Modeling & Early Warning
★ Notable speakers
Huamin Qu ★★ — Data visualization; visual analytics; explainable AI; educational data visualization
Vincent Aleven ★★ — Intelligent tutoring systems; CTAT authoring tools; example-tracing tutors
Kenneth R. Koedinger ★★ — Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED

AIED45 (HL) | Human-centered | Long-paper session

3 talks in this session

I’m Not Stuck – I’m Learning: Operationalizing Self-Efficacy Trajectories in Large-Scale AI Learning Environments
Buwon Hong, Eun Shim, Heesoo Ko, Hyo Jeong Shin
Learner & Student Modeling Self-Regulated Learning Motivation, Gamification & Engagement
Beyond Correctness: A Stage-Aware Framework for Decoding Student Problem-Solving Processes from Handwriting Trajectories
Zhonghua Sheng, Shuyu Shen, Qiqi Duan, Leixian Shen, Xiaofu Jin
Learner & Student Modeling Automated Assessment & Scoring Educational Data Mining Methods
Delayed Start Behavior as a Cross-Subject Predictor of Learning Outcomes
Jordan Gutterman, Ashish Gurung, Lee Branstetter, Kenneth Koedinger, Vincent Aleven
Learner & Student Modeling Predictive Modeling & Early Warning Educational Data Mining Methods