@inproceedings{755637dbef0f4ec9a4674a12fd3d60d8,
title = "Emotion-based decision support tool for learning processes: An application with undergraduate students during Covid-19 pandemic",
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.",
keywords = "Covid-19, PANAS, decision support tool, e-learning, sentiment analysis",
author = "Eduardo Puraivan and Marcelo Leon and Jarnishs Beltran and Fabian Riquelme",
note = "Publisher Copyright: {\textcopyright} 2021 AISTI.; 16th Iberian Conference on Information Systems and Technologies, CISTI 2021 ; Conference date: 23-06-2021 Through 26-06-2021",
year = "2021",
month = jun,
day = "23",
doi = "10.23919/CISTI52073.2021.9476312",
language = "English",
series = "Iberian Conference on Information Systems and Technologies, CISTI",
publisher = "IEEE Computer Society",
editor = "Alvaro Rocha and Ramiro Goncalves and Penalvo, {Francisco Garcia} and Jose Martins",
booktitle = "Proceedings of CISTI 2021 - 16th Iberian Conference on Information Systems and Technologies",
}