Aldana-Trejo, Florcita
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Identification of the satisfaction of university students through sentiment analysis: a systematic review Chamorro-Atalaya, Omar Freddy; Aldana-Trejo, Florcita; Alvarado-Bravo, Nestor; Nieves-Barreto, Constantino; Aguilar-Loyaga, Santiago; Gamarra-Bustillos, Carlos; Torres-Quiroz, Almintor; Riveros-Cuéllar, Alípio; Pérez-Samanamud, Manuel; Pérez-Guevara, Luciano
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i1.26640

Abstract

In these times it is necessary to use tools based on artificial intelligence (AI) that contribute to improving the quality of university education for the benefit of students. This article aims to define the state of the question on the application of sentiment analysis in the identification of student satisfaction, based on the systematic review of scientific publications. The research is of an exploratory level and of a mixed approach. The data collection method was based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA) declaration, managing to focus the review based on 27 publications, downloaded from Scopus, ERIC, and Google Scholar. From the systematic review, the following conclusions were reached: the fields of application to a greater extent are found in the academic field and university well-being. Likewise, regarding the contributions achieved, these focused to a greater extent on aspects of the teaching activity, valuing their performance and contributing to their feedback for the redesign of didactic strategies. Finally, in terms of limitations, they focused mainly on the low student participation regarding the use of sentiment analysis to identify student satisfaction; this is due to the lack of regulations or regulations for it is application in the university environment.
Technological tools for virtual teaching and their effect on the satisfaction of online learning Chamorro-Atalaya, Omar; Alvarado-Bravo, Nestor; Aldana-Trejo, Florcita; Huarcaya-Godoy, Madison; Anton-De los Santos, Marco; Anton-De los Santos, Juan; Fierro-Bravo, Maritte
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1634-1643

Abstract

The objective of the research is to analyze the satisfaction of the online learning of the applied electricity subject, when implementing technological tools for virtual teaching. The development of the research determines a high level of student satisfaction, finding the perception of reliability with 93.05%, that of security with 93.2%, that of answer’s capacity with 90.73% and empathy with 82.87%. Satisfaction with the technological tools of virtual teaching is related to the adequate and accessible use of simulation software during online learning, which allowed compliance with the syllable. In addition to the security and confidence when the teacher is willing to help him in the use of the simulation software, responding to it appropriately and quickly. Satisfaction of online learning of the applied electricity subject using virtual teaching tools is related to the teacher's sample of concern towards students regarding their academic needs and their expressed interests.