Related Data for: Hands-on consensus building: Leveraging deep learning models to unveil hand gestures in consensus-building discourses

Despite this recognition, the specific role of hand employment in various consensus-building discourses remains elusive, and there is a lack of quantitative evidence of hand employment in authentic classrooms. This study delves into the nuanced application of embodied cognition through hands across distinct consensus-building scenarios—quick, integration-oriented, and conflict-oriented consensus-building discourses.

Forty engineering students from a Singapore university collaborated in dyads to solve design problems in a face-to-face computer-supported collaborative learning environment. Their collaboration process was video recorded. A deep learning-based model was applied to quantify students’ hand movement.