FoL 2026
EDM

Tutoring & Personalization

Tue Jun 30, 3:45 PM–5:00 PM · North 202
Adaptive & Personalized Learning Intelligent Tutoring Systems Educational Data Mining Methods
★ Notable speakers
Emma Brunskill ★★ — Reinforcement learning theory and algorithms for personalized education and healthcare
Vincent Aleven ★★ — Intelligent tutoring systems; CTAT authoring tools; example-tracing tutors
Kenneth R. Koedinger ★★ — Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED
Danielle R. Thomas ★ — Human-AI hybrid tutoring; educational equity; AI-augmented tutoring for students with disabilities

EDM #7 | Long Paper Session

3 talks in this session

The Semantic Gap in Behavioral Embeddings: Why Linear Methods Fail for Educational RAG in Mathematics
Ricky Gole, Jamell Dacon
Adaptive & Personalized Learning Educational Data Mining Methods Prompt Engineering & RAG
Personalization in Educational Data Mining and Learning Analytics: A Systematic Review (2015 - 2025)
Sylvio Rüdian
Adaptive & Personalized Learning Educational Data Mining Methods
Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs
Ashish Gurung, Ge Gao, Boyuan Guo, Alex Houk, Erin Gatz
Intelligent Tutoring Systems Adaptive & Personalized Learning Human–AI Collaboration & Agency