Yong Dich
Papers
2
Total Citations
67
H-Index
2
About
Yong Dich is a leading researcher in the learning sciences, specializing in the intersection of collaborative learning, physiological computing, and multimodal learning analytics. Their work pioneers the use of physiological synchrony—the alignment of biological signals like heart rate and skin conductance between individuals—as a novel, objective indicator of group dynamics. Dich’s major contribution lies in empirically validating that synchrony measures can predict collaboration quality, task performance, and learning outcomes, moving beyond traditional self-report or observational methods. Their most cited work, "Unpacking the relationship between existing and new measures of physiological synchrony and collaborative learning" (2020, 41 citations), provides a rigorous mixed-methods framework for integrating these biometrics into educational research. A second influential paper (2018, 26 citations) further established synchrony as a reliable proxy for group effectiveness. By bridging cognitive science, education, and signal processing, Dich offers researchers and educators a powerful, real-time tool to assess and enhance collaborative learning, opening new pathways for adaptive learning technologies and deeper understanding of how bodies and minds coordinate in shared intellectual work.
Research Focus
Key Achievements
Top Papers
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