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Social and Emotional skill sets are becoming increasingly relevant to online learning environments. Online learners need to develop the ability to understand and manage emotions, setting and achieving positive goals through social interaction, feelings, and showing empathy for others. This paper outlines the possibility of using an emotion recognition to support the emotion regulation in professional learning by using an emotion tracker method using the physiological signals acquired from mobile and wearable devices and self-reflection.
Presenter: Suthanit Wetcho, Chulalongkorn University
Contributor: Jaitip Nasongkhla, Chulalongkorn University