Emotion-based decision support tool for learning processes: An application with undergraduate students during Covid-19 pandemic

Eduardo Puraivan, Marcelo Leon, Jarnishs Beltran, Fabian Riquelme

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Student 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.

Original languageEnglish
Title of host publicationProceedings of CISTI 2021 - 16th Iberian Conference on Information Systems and Technologies
EditorsAlvaro Rocha, Ramiro Goncalves, Francisco Garcia Penalvo, Jose Martins
PublisherIEEE Computer Society
ISBN (Electronic)9789895465910
DOIs
StatePublished - 23 Jun 2021
Externally publishedYes
Event16th Iberian Conference on Information Systems and Technologies, CISTI 2021 - Chaves, Portugal
Duration: 23 Jun 202126 Jun 2021

Publication series

NameIberian Conference on Information Systems and Technologies, CISTI
ISSN (Print)2166-0727
ISSN (Electronic)2166-0735

Conference

Conference16th Iberian Conference on Information Systems and Technologies, CISTI 2021
Country/TerritoryPortugal
CityChaves
Period23/06/2126/06/21

Keywords

  • Covid-19
  • decision support tool
  • e-learning
  • PANAS
  • sentiment analysis

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