Sanchez Ayte, Jorge Augusto
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A systematic review on innovations in computer aided design in engineering education Murillo Manrique, Margarita F.; Sanchez Ayte, Jorge Augusto
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i3.30250

Abstract

curricula up-to-date with advanced computer-aided design (CAD) technologies to understand their practical application in various industrial and research contexts. Given this need, a systematic review was proposed following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method to evaluate the most recent innovations in CAD systems and their effective application in engineering education. The results reveal that emerging technologies such as real-time virtual collaboration, 3D design, and virtual reality are being incorporated into educational environments, significantly enhancing students’ technical and collaborative skills. The research concludes that these technologies not only reconfigure engineering education, emphasizing a practical and updated approach, but also facilitate a more interactive and effective learning experience. This study highlights the urgent need to adapt educational programs to incorporate these innovations, thus ensuring that future engineers are better prepared to face the challenges of modern industry.
Learning styles and academic performance: a correlational study among engineering university students Cardenas Yauri, Maribel; Sánchez Ayte, Jorge Augusto; Vertiz Osores, Jacinto Joaquin; Valencia Reyes, Zanhy Leonor
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.31476

Abstract

In a context of little explanation of the links between learning styles (LS) and academic performance (AP) in university students, a quantitative analysis of these relationships was proposed in mechanical and electrical engineering students from a public university in Lima, Peru. The Honey-Alonso learning styles questionnaire (CHAEA) was used to identify the students’ styles. Grades in various subjects were used as data on AP. Discriminant analysis and hierarchical clustering were applied to develop an explanatory model of the relationship. The findings revealed that most students were classified in a central level of AP. LS were distributed in order of relevance of contribution as: ‘theoretical’, ‘reflective’, ‘active’ and ‘pragmatic’. The ‘theoretical’ and ‘reflective’ styles showed greater affinity. Better clustering was observed in the ‘in process’ and ‘achievement’ levels of AP. The level of ‘starting’ was diffuse among students, preventing it from being clearly associated with any LS, although it is recommended not to dismiss it because it may represent students who require additional support from teaching staff. This research contributes a holistic view of the factors that influence university AP and highlights the importance of conducting further research in this field.