Abstract
Teacher and student emotions are a fundamental basis in the development of the teaching-learning process. In this paper, we aim to verify whether it is possible for the emotions that are registered on a teacher’s face to constitute emotional vectors and therefore be grouped hierarchically in order to obtain the teacher’s emotional behavior during a virtual class. The experimental process demonstrated that it is possible to obtain an emotional funnel whose result is reflected in a valid hierarchical cluster to identify the set of emotions of a teacher when dealing with a specific topic or in the course of a time window. The work is in progress, but the conclusions it offers are valid enough to be proposed as a basis for recommendations in the teaching-learning process.
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Arias, S.A., Moreno-Ger, P., Verdu, E. (2021). Hierarchical Clustering to Identify Emotional Human Behavior in Online Classes: The Teacher’s Point of View. In: Antipova, T. (eds) Comprehensible Science. ICCS 2020. Lecture Notes in Networks and Systems, vol 186. Springer, Cham. https://doi.org/10.1007/978-3-030-66093-2_26
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DOI: https://doi.org/10.1007/978-3-030-66093-2_26
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