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dc.contributor.authorArias, Susana
dc.contributor.authorMoreno-Ger, Pablo
dc.contributor.authorVerdú, Elena
dc.date2020
dc.date.accessioned2021-05-26T12:27:15Z
dc.date.available2021-05-26T12:27:15Z
dc.identifier.isbn9781728197289
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11417
dc.description.abstractEmotional management is very important in face-to-face classes, in fact, it is the very basis of learning. However, there is still no clear answer to what happens when classes are online or on Moocs, referring to emotional reactions. In this work we present an initial proposal that allows obtaining the emotional behavior of the student when observing a class. The proposed methodology allows identifying the emotions on the face, grouping them, and then sending them to the ontological reasoner. Few methodological tests have been developed, but we hope that the proposal is valid and conclusivees_ES
dc.language.isoenges_ES
dc.publisherProceedings of 2020 IEEE Learning With MOOCS, LWMOOCS 2020es_ES
dc.relation.ispartofseries;nº 9234316
dc.relation.urihttps://ieeexplore.ieee.org/document/9234316/authors#authorses_ES
dc.rightsrestrictedAccesses_ES
dc.subjectcluster classroom emotiones_ES
dc.subjectemotiones_ES
dc.subjectemotional behavioures_ES
dc.subjecthuman emotion ontologyes_ES
dc.subjectonlineclassroomses_ES
dc.subjectScopus(2)es_ES
dc.subjectWOS(2)
dc.titleTowards identifying emotional human behavior in online classes: first steps : Human emotional behavior in a virtual classes_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1109/LWMOOCS50143.2020.9234316


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