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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Guillermo Morales-Romero
Universidad Nacional Enrique Guzmán y Valle

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Quadratic vector support machine algorithm, applied to prediction of university student satisfaction Omar Chamorro-Atalaya; Guillermo Morales-Romero; Yeferzon Meza-Chaupis; Elizabeth Auqui-Ramos; Jesús Ramos-Cruz; César León-Velarde; Irma Aybar-Bellido
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 1: July 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i1.pp139-148

Abstract

This study aims to identify the most optimal supervised learning algorithm to be applied to the prediction of satisfaction of university students. In this study, the IBM SPSS - 25.0 software was used to test the reliability of the satisfaction questionnaire and the MATLAB R2021b software through the classification learner technique to determine the supervised learning algorithm. The experimental results determine a Cronbach's Alpha reliability of 0.979, in terms of the classification algorithm, it is validate d that the quadratic vector support machine (SVM) has better performance metrics, being correct in 97.8% (a ccuracy) in the predictions of satisfaction of university students, with a r ecall (sensitivity) of 96.5% and an F1 score of 0.968. Likewise, when eva luating the classification model by means of the receiver operating characteristic curve (ROC) technique, it is identified that for the three expected classes of satisfaction the value of the area under the curve (AUC) is equal to 1, in such sense the pred ictive model through the SVM Quadratic algorithm, has a high capacity to distinguish between the 3 classes ; i) d issatisfied, ii) s atisfied and iii) v ery satisfied of satisfaction of university students.
Virtual tools in distance education: university satisfaction regarding its application as part of teaching strategies Guillermo Morales-Romero; José Antonio Arévalo-Tuesta; Lilia Rodas-Camacho; Elizabeth Auqui-Ramos; Carlos Palacios-Huaraca; César Trujillo-Hinojosa; Elvira Caceres-Cayllahua
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1049-1057

Abstract

When virtual education was implemented in Peru, the limitations of teachers in technological management were evident. For this reason, the research seeks to analyze the perception of university satisfaction regarding the use of virtual teacher tools as part of teaching strategies, in order to improve virtual teaching-learning, achieving student motivation and facilitating this meaningful learning through the use of virtual tools. The method used according to the investigative approach is qualitative, according to its scope it is descriptive and correlational. During the development of the research, it was identified that the satisfaction regarding the use of virtual tools by the teacher is focused on the critical, constructive and positive attitude towards virtual tools and in the acquittal of students' questions regarding the use of virtual tools. On the other hand, the indicator that is related to low student satisfaction focuses on the low diversity of methodological strategies used for the development of virtual learning sessions. Likewise, the Chi-square test shows the significant relationship between the perception of the teacher's competences regarding the use of virtual tools and the perception of the quality of the teaching offered to students during distance education.
Co-Authors Carlos Palacios-Huaraca César León-Velarde César Trujillo-Hinojosa Elizabeth Auqui-Ramos Elizabeth Auqui-Ramos Elvira Caceres-Cayllahua Irma Aybar-Bellido Jesús Ramos-Cruz José Antonio Arévalo-Tuesta Lilia Rodas-Camacho Omar Chamorro-Atalaya Yeferzon Meza-Chaupis