Accepted Papers

The Workshop proceedings can be downloaded here:   MMLA EDM Workshop Papers

Accepted papers.

• From Data Collection to Fusion: Advancing Methodological Rigor for Multiparty Multimodal Machine Learning in Collaboration Analytics
  Tochukwu Eze, Marcelo Worsley

• Supporting Productive Uncertainty in Multiparty Jigsaw Activities
  Peter W. Foltz, Chelsea Chandler, Mon-Lin Monica Ko

• Exploring Agentic Multimodal Late Fusion With LLMs for Embodied Learning
  Joyce Horn Fonteles, Clayton Cohn, Divya Mereddy, Ashwin T. S., Gautam Biswas

• A Methodological Framework for Capturing Cognitive-Affective States in Collaborative Learning
  Sifatul Anindho, Videep Venkatesha, Nathaniel Blanchard

• Seeing the Big Picture: Evaluating Multimodal LLMs' Ability to Interpret and Grade Handwritten Student Work
  Owen Henkel, Bill Roberts, Doug Jaffe, Laurance Holt

• Capturing Self-Regulated Learning through Multimodal Analytics in Learner-Centered Classrooms
  Yoojin Bae, Min Kyu Kim

• How Theory Can Guide the Development of Multimodal, Multiparty Collaborative Learning Analytics: A Case Study of the Generalized Competency Model (GCM) of Collaborative Problem Solving
  Sidney D'Mello

• Beyond Benchmarks: Toward Multimodal, Multiparty Learning Analytics for Real-World Impacts
  Chelsea Chandler, Sidney D'Mello

• Lightweight Encoders for Multimodal Engagement Prediction in Classrooms
  Ekta Sood, Joyce Horn Fonteles, Utkarsh Kumar