Abstract
Classrooms are very well suited for research on social interactions in the wild. Hundreds of hours of student interactions are rapidly accumulated. In this paper we analyze two months of video recordings from a fourth grade class, where the teacher and a sample of 3 students selected each day wore a mini video camera mounted on eyeglasses. The data reveals different gaze patterns between groups according to gender, subject, student grade point average, sociometric scale and time of day. The patterns that were found demonstrate the promising power of first-person video recordings for understanding social interaction in the classroom.
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Araya, R., Behncke, R., Linker, A., van der Molen, J. (2015). Mining Social Behavior in the Classroom. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_44
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DOI: https://doi.org/10.1007/978-3-319-24306-1_44
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