Emotion-based decision support tool for learning processes: An application with undergraduate students during Covid-19 pandemic
16th Iberian Conference on Information Systems and Technologies, CISTI 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1449451
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. © 2021 AISTI.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
16th Iberian Conference on Information Systems and Technologies, CISTI 2021
Year:
2021
Document Type:
Article
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