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dc.contributor.authorArias, Susana
dc.contributor.authorMoreno-Ger, Pablo
dc.contributor.authorVerdú, Elena
dc.date2020
dc.date.accessioned2021-06-23T08:19:06Z
dc.date.available2021-06-23T08:19:06Z
dc.identifier.issn2367-3370
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11511
dc.description.abstractTeacher 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. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.es_ES
dc.language.isoenges_ES
dc.publisherLecture notes in networks and systemses_ES
dc.relation.ispartofseries;vol. 186
dc.relation.urihttps://link.springer.com/chapter/10.1007%2F978-3-030-66093-2_26es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectemotionses_ES
dc.subjecthierarchical clusteres_ES
dc.subjectlearninges_ES
dc.subjectteachinges_ES
dc.subjectScopus(2)es_ES
dc.titleHierarchical Clustering to Identify Emotional Human Behavior in Online Classes: The Teacher’s Point of Viewes_ES
dc.typeconferenceObjectes_ES
reunir.tag~OPUes_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-030-66093-2_26


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