FETC 2020

C125 | Exploration of Collaboration and Social-Emotional Skills Through Cooperative Games (Room 246-247)

Educational simulations provide an ecologically valid environment to study Collaborative Problem-Solving skills and collaborative learning. We present results from a research study of a two-person (dyadic) game, where puzzles must be solved cooperatively. Our purpose is to explore non-invasive methods of measuring CPS, and social-emotional skills using AI and Machine Learning. Specifically, we will look at how team dynamics and team member task interactions are manifested as verbal and nonverbal behaviors, and how these behaviors can be analyzed via passive collection such as video, audio, and eye tracking data streams. These data are merged with self- and peer-report measures to provide a holistic representation of individuals’ behaviors as they manifest in team settings.