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All Journal International Journal of Evaluation and Research in Education (IJERE) Indonesian Journal of Electrical Engineering and Computer Science
Irma Aybar-Bellido
Universidad Nacional San Luis Gonzaga
Education

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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.
Blockchain integration into the university education process: a systematic review of application, justification, and impact Irma Aybar-Bellido; Maritza Arones; José Antonio Arévalo-Tuesta; Willy Adauto-Medina; Hernán Ochoa-Carbajal
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i1.36591

Abstract

As universities seek to integrate disruptive technologies to optimize their academic and administrative processes, a gap persists in the adoption of Blockchain as a strategic tool. Many higher education institutions still lack its implementation, limiting its potential to improve traceability, transparency, security, and the automation of different processes. Given this scenario, this study aims to identify the areas of application, the justifications for its use, and the impact of Blockchain when integrated into the university educational process. To this end, a systematic literature review was conducted with a mixed approach and an exploratory-descriptive scope, following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guideline, in the Scopus, ERIC, and SAGE databases. Of 3,469 manuscripts identified, 42 met the inclusion and exclusion criteria. The results show a predominance of applications focused on the validation and monitoring of academic achievements, with limited integration into pedagogical approaches such as active methodologies, adaptive learning, or competency-based learning. Based on a comparative analysis of trends, application areas, and thematic gaps, it is concluded that the expansion of Blockchain into educational models requires progressive implementation strategies, curricular integration, and teacher training, thereby generating more personalized, efficient, and transparent learning environments.
Co-Authors César León-Velarde Elizabeth Auqui-Ramos Guillermo Morales-Romero Hernán Ochoa-Carbajal Jesús Ramos-Cruz José Antonio Arévalo-Tuesta Maritza Arones Omar Chamorro-Atalaya Willy Adauto-Medina Yeferzon Meza-Chaupis