EDM
Multimodal LLM-based approach for detecting Disen-gagement from Task Goal (DTG) in Math problem solving
Fri Jul 3, 11:25 AM–11:40 AM · North 202
Part of AI Evaluation in Math Learning
Affect & Engagement Detection Mathematics Education Multimodal Learning Analytics Generative AI & Large Language Models
★ Notable speakers
Ryan S. Baker
★★
— Educational data mining; BROMP observational protocol; student disengagement detection
Jaclyn Ocumpaugh
★
— Automated detection of student affect and engagement; co-developer of the BROMP field-observation protocol
Caitlin Mills
★
— Mind-wandering and attention during learning; eye-tracking; adaptive learning; educational data mining
A paper using a multimodal LLM approach to detect when students disengage from their task goal during math problem solving.
Authors
Nidhi Nasiar, Ryan S. Baker, Jaclyn Ocumpaugh, Zeyneb S. Sarioglan, Caitlin Mills, Samuel Rhodes