FoL 2026
AIED

Multimodal Analytics & Embodied Learning

Tue Jun 30, 2:00 PM–3:15 PM · North 201
Multimodal Learning Analytics Learner & Student Modeling
★ Notable speakers
Ivon Arroyo ★ — MathSpring intelligent tutoring system, multimodal/affective state detection in K-12 math, gender equity in STEM
Conrad Borchers ★ — AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis

AIED33 (HL) | Human-centered | Long-paper session

3 talks in this session

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
Conrad Borchers, Valdemar Švábenský, Sandesh K. Kafle, Kevin K. Tang, Jan Vykopal
Affect & Engagement Detection Predictive Modeling & Early Warning Multimodal Learning Analytics
What Do Future Teachers Look For in Movement-Based Learning? Implications For Multimodal Systems
Allison Poh, Ivon Arroyo
Affect & Engagement Detection Multimodal Learning Analytics Teachers & Professional Development
Seeing the Big Picture: Evaluating Multimodal LLMs’ Ability to Interpret and Grade Handwritten Student Work
Owen Henkel, Bill Roberts, Doug Jaffe, Laurence Holt
Generative AI & Large Language Models Automated Assessment & Scoring Multimodal Learning Analytics