FoL 2026
EDM

Learning Trajectories & SRL

Tue Jun 30, 3:45 PM–5:00 PM · North 210
Self-Regulated Learning Educational Data Mining Methods Learner & Student Modeling
★ Notable speakers
Ramkumar Rajendran ★ — Self-regulated learning analytics; multimodal data (eye-tracking, facial emotion, log data); open-ended learning environments
Olga Viberg ★ — Learning analytics, responsible AI in education, self-regulated learning, technology-enhanced learning
Olov Engwall ★ — Social robots for language learning; spoken dialogue systems; robot-assisted L2 conversation practice
Muhsin Menekse ★ — Engineering education; active learning; collaborative learning; conceptual change in STEM

EDM #8 | Long/Short Paper Session

4 talks in this session

Multi-dimensional Trajectories of Expertise in Engineering: Perspective from Epistemic Frame Theory
Amit Paikrao, Vishwas Badhe, Indrayani Nishane, Jyoti Shaha, Ramkumar Rajendran
Learner & Student Modeling Educational Data Mining Methods Higher Education
Tracing Conceptual Overgeneralization in Middle School Students’ Reasoning about Quantum Randomness
Jihyun Rho, Jiwon Kim, Zeynep G. Akdemir-Beveridge, Muhsin Menekse
Learner & Student Modeling Educational Data Mining Methods Science & STEM Inquiry
A Human-in-the-Loop Pipeline for Multi-Class SRL Classification
Andreas Sebastian Kissmehl, Olga Viberg, Olov Engwall, Richard Lee Davis
Educational Data Mining Methods Self-Regulated Learning Human–AI Collaboration & Agency
Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks
Ali Mohammadiasl, Bita Akram, Seyyedali Hosseinalipour, Rajeev Sahay
Educational Data Mining Methods Network & Process Analytics Collaborative Learning & CSCL