Emotion-based decision support tool for learning processes

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dc.contributor.authorPuraivan, Eduardo
dc.contributor.authorLeón, Marcelo
dc.contributor.authorBeltran, Jarnishs
dc.contributor.authorRiquelme, Fabián
dc.date.accessioned2022-10-12T18:19:42Z
dc.date.available2022-10-12T18:19:42Z
dc.date.issued2021
dc.description.abstractStudent stress is a problem that hinders the teaching-learning processes, and that has increased considerably since the beginning of the Covid-19 pandemic. This article introduces a framework for the development of an emotion-based decision support tool for learning processes. As a case study, we consider undergraduate students starting their academic year virtually in the context of a pandemic. Through the application of the PANAS questionnaire and NLP techniques on free-text responses, students' emotions are automatically classified as positive and negative, as well as a level of basic emotions of the Plutchik model. The results allow to identify the most frequent sentiments in students. Also, they show concordances between both measurement instruments and a high capacity for the classification of emotions.es_ES
dc.identifier.issn2166-0727
dc.identifier.other10.23919/CISTI52073.2021.9476312
dc.identifier.urihttps://hdl.handle.net/20.500.12536/1839
dc.language.isoenes_ES
dc.source16th Iberian Conference on Information Systems and Technologies (CISTI)es_ES
dc.subjectE-learninges_ES
dc.subjectSentiment analysises_ES
dc.subjectPANASes_ES
dc.subjectCovid-19es_ES
dc.subjectDecision support tooles_ES
dc.titleEmotion-based decision support tool for learning processeses_ES
dc.typeArtículo de revistaes_ES
uvm.escuelaEscuela de Educaciónes_ES
uvm.indexScopuses_ES
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