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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Darío Villar-Valenzuela
Universidad Nacional de Educación Enrique Guzmán y Valle

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Collaborative learning through virtual tools: Analysis of the perception of student satisfaction of teaching performance Omar Chamorro-Atalaya; Belmira Marcelo-Veliz; Guillermo Morales-Romero; Nicéforo Trinidad-Loli; Darío Villar-Valenzuela; Beatriz Caycho-Salas; César León-Velarde
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1082-1090

Abstract

The objective of this article is to identify the results of the evaluation of collaborative learning through technological tools as part of the pedagogical strategies in the virtual teaching process. For the evaluation, the SERVQUAL model was used, through which it was identified that 97.73% satisfactorily evaluate the reliability and security of pedagogical strategies through technological tools used in collaborative learning in the teaching process in virtual environments. The optimal evaluation regarding the reliability of collaborative learning is 100% related to compliance with the syllable, to the teacher's disposition to help them in the use of technological tools and to the conformity of the technological tools used in the subject. Regarding the security of collaborative learning, 100% of the satisfactory evaluation is related to the trust and kindness that the teacher transmitted with the use of technological tools in teaching in virtual environments.
Teaching through virtual tools and its effect on the perception of student satisfaction Omar Chamorro-Atalaya; Guillermo Morales-Romero; Adrián Quispe-Andía; Darío Villar-Valenzuela; Alicia Jeri-Sandoval; César León-Velarde; Irma Aybar-Bellido
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1599-1606

Abstract

In this context of virtualization, the educational sector has seen the need to make use of technological advances, for this reason it is important to know the perception of students, after having fully adapted distance learning through tools. virtual, which have allowed teachers and students to maintain the pedagogical link at a distance, either through the virtual classroom or through the use of simulation software. In this sense, the objective of this article is to identify the perception of teaching through virtual tools in university students and determine its level of effect or relationship in student satisfaction. This research is approached from a qualitative approach using the Likert measurement method and a content analysis methodology using virtual instruments. The results of the study indicate that 92.9% and 89.3% of the students are satisfied, these results focus on the indicators "absolves the questions asked regarding the use of virtual tools" and "knowledge shown by the teacher in the development of the sessions through virtual tools”. Likewise, the correlational analysis, through Spearman's Chi square test, establishes that there is a high relationship or significant effect of 0.850 between the perception of teaching through virtual tools with student satisfaction.
Vector support machine algorithm applied to the improvement of satisfaction levels in the acquisition of professional skills Omar Chamorro-Atalaya; Orlando Ortega-Galicio; Guillermo Morales-Romero; Darío Villar-Valenzuela; Yeferzon Meza-Chaupis; César León-Velarde; Lourdes Quevedo-Sánchez
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp597-604

Abstract

The study carried out identifies the metricss of the predictive model obtained through the support vector machine (VSM) algorithm, which will be applied in the satisfaction of the acquisition of professional skills of the students of the Professional Engineering Career. As part of the development, the statistical classification tool is used, during the development of the research, it was identified that the predictive model presents as general metrics an accuracy of 82.1%, a precision of 70.72%, a sensitivity of 91.06% and a specificity of 87.60%. Through this model, it contributes significantly to decision-making in relation to improving satisfaction related to the acquisition of professional skills in engineering students, since decision-making by university authorities will have a scientific basis, to take early and timely actions in relation to the predictive elements.
Co-Authors Adrián Quispe-Andía Alicia Jeri-Sandoval Beatriz Caycho-Salas Belmira Marcelo-Veliz César León-Velarde Guillermo Morales-Romero Irma Aybar-Bellido Lourdes Quevedo-Sánchez Nicéforo Trinidad-Loli Omar Chamorro-Atalaya Orlando Ortega-Galicio Yeferzon Meza-Chaupis