Physiological Synchrony and Arousal as Indicators of Stress and Learning Performance in Embodied Collaborative Learning

Lixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Xinyu Li, Dragan Gasevic. Physiological Synchrony and Arousal as Indicators of Stress and Learning Performance in Embodied Collaborative Learning. In Ning Wang 0023, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova, editors, Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings. Volume 13916 of Lecture Notes in Computer Science, pages 602-614, Springer, 2023. [doi]

Abstract

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