Estimating Children's Characteristics by Observing their Classroom Activities

Abstract

Good teachers recognize how each of their students is different from the others and adapt how they support them. We replicate such a capability to understand the individual specificities of children. Our approach observed the social signals of fifth graders based on their daily classroom behavior using a sensor network. We used depth cameras to track their positions and identified them with RGB cameras. We observed 84 children (three classes) and used these results to estimate school-related children's characteristics: self-efficacy, performance-goal, and exam scores. The estimation yielded 73.0–74.7% accuracy for the target variables.