Open access
Validated EdTech Study
Published: 09 October 2026
Multimodal Learning Analytics for Identifying Collaborative Breakdown in Synchronous Engineering Design Teams
Marcus Vance, Chen Wei, Rudi Hartono
1. Dept. of Mechanical & Electrical Engineering, Universitas Tadulako; 2. Multimodal Analytics Lab; 3. Institute of Advanced Pedagogy.
Abstract
Combining gaze-tracking, speech sentiment analysis, and shared-whiteboard clickstreams to predict disengagement during virtual team design sessions. The system detected collaboration breakdowns 4.3 minutes prior to project stalling.
Keywords:
Multimodal Learning Analytics, Collaborative Learning, Gaze Tracking, Speech Sentiment, Engineering Education
Publication Details
| Journal | Journal of Intelligent Pedagogy |
| Issue | Volume 1, Issue 1 (2026), pp. 25–36 |
| ISSN (Online) | 3025-8891 |
| Publisher | Global Innovation & Academic Press (GIA Press) |
| Peer Review | Double-blind peer reviewed in accordance with COPE ethical guidelines |
| License | Creative Commons Attribution 4.0 International (CC BY 4.0) |
How to Cite (APA 7th Edition)
Marcus Vance, Chen Wei, Rudi Hartono (2026). Multimodal Learning Analytics for Identifying Collaborative Breakdown in Synchronous Engineering Design Teams. Journal of Intelligent Pedagogy, 1(1), 25–36. https://doi.org/10.59653/joip.v1i01.2028