Methodology for the creation of virtual learning environments for the subject Automotive Mechanics in Higher Education

Authors

DOI:

https://doi.org/10.37431/conectividad.v6i1.226

Keywords:

Virtual learning, Virtual learning environments, Automotive mechanics, Higher education, Teaching and learning methodology

Abstract

This article discusses the methodology for the creation of virtual learning environments (VLEs) for automotive mechanics in higher education, emphasizing the need to integrate technological and pedagogical strategies for optimal learning. The introduction highlights the importance of VLEs in the digital age, considering the COVID-19 experience and the potential of virtual reality (VR), the technology acceptance model (TAM) and other pedagogical strategies. The methodology, based on a systematic review of 30 articles from indexed databases, employed specific keywords and the PRISMA method to select and analyze relevant studies. The results and discussion revealed the predominance of project-based learning (23%) and gamification (13%), but also the need for further integration of realistic simulations (10%), VR (16.6%) and learning management platforms (LMS) (20%) adapted to automotive mechanics. A gap was identified in research on interface usability (6.6%) and accessibility (10%), as well as in rigorous evaluation of the impact of VLEs on academic performance. Finally, the conclusion emphasizes the importance of hands-on learning in automotive mechanics, highlighting the need for EVAs to replicate the sensory experience of the workshop, complementing, not replacing, actual practice.

References

Benis, A., Nelke, S. A., & Winokur, M. (2021). Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era. Sensors, 21(9), 2905. https://doi.org/10.3390/S21092905 DOI: https://doi.org/10.3390/s21092905

Durrani, M. (2020). Debate style lecturing to engage and enrich resident education virtually. Medical Education, 54(10), 955-956. https://doi.org/10.1111/MEDU.14217 DOI: https://doi.org/10.1111/medu.14217

Ershad, N. F., Mehrjardi, R. T., & Ehsani, M. (2019). Electro-Mechanical EV Powertrain With Reduced Volt-Ampere Rating. IEEE Transactions on Vehicular Technology, 68(1), 224-233. https://doi.org/10.1109/TVT.2018.2881385 DOI: https://doi.org/10.1109/TVT.2018.2881385

Fussell, S. G., & Truong, D. (2021). Using virtual reality for dynamic learning: an extended technology acceptance model. Virtual Reality, 1-19. https://doi.org/10.1007/S10055-021-00554-X DOI: https://doi.org/10.1007/s10055-021-00554-x

Ho, I. M. K., Cheong, K. Y., & Weldon, A. (2021). Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques. PLOS ONE, 16(4), 1-27. https://doi.org/10.1371/JOURNAL.PONE.0249423 DOI: https://doi.org/10.1371/journal.pone.0249423

Khan, S., Kambris, M. E. K., & Alfalahi, H. (2021). Perspectives of University Students and Faculty on remote education experiences during COVID-19- a qualitative study. Education and Information Technologies, 1-29. https://doi.org/10.1007/S10639-021-10784-W DOI: https://doi.org/10.1007/s10639-021-10784-w

Kruger, K., Wolff, K., & Cairncross, K. (2021). Real, virtual, or simulated: Approaches to emergency remote learning in engineering. Computer Applications in Engineering Education. https://doi.org/10.1002/CAE.22444 DOI: https://doi.org/10.1002/cae.22444

Kumar, A., & Mantri, A. (2021). Evaluating the attitude towards the intention to use ARITE system for improving laboratory skills by engineering educators. Education and Information Technologies, 1-30. https://doi.org/10.1007/S10639-020-10420-Z DOI: https://doi.org/10.1007/s10639-020-10420-z

Kuusinen, K., & Albertsen, S. (2019). Industry-academy collaboration in teaching DevOps and continuous delivery to software engineering students: towards improved industrial relevance in higher education. 23-27. https://doi.org/10.1109/ICSE-SEET.2019.00011 DOI: https://doi.org/10.1109/ICSE-SEET.2019.00011

Mijailović, Đ., Đorđević, A., Stefanovic, M., Vidojević, D., Gazizulina, A., & Projović, D. (2021). A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm. Sustainability, 13(22), 12396. https://doi.org/10.3390/SU132212396 DOI: https://doi.org/10.3390/su132212396

Pereira, N. L., Mendes, A., Spanhol, F. J., & Lunardi, G. M. (2019). Good practices in virtual teaching and learning environments: a systematic literature review. Educational Review, 35. https://doi.org/10.1590/0102-4698214739 DOI: https://doi.org/10.1590/0102-4698214739

Prisacaru, A., Gromala, P. J., Han, B., & Zhang, G. Q. (2022). Degradation Estimation and Prediction of Electronic Packages Using Data-Driven Approach. IEEE Transactions on Industrial Electronics, 69(3), 2996-3006. https://doi.org/10.1109/TIE.2021.3068681 DOI: https://doi.org/10.1109/TIE.2021.3068681

Race, A., Jesus, M. De, Beltran, R. S., & Zavaleta, E. S. (2021). A comparative study between outcomes of an in-person versus online introductory field course. Ecology and Evolution, 11(8), 3625-3635. https://doi.org/10.1002/ECE3.7209 DOI: https://doi.org/10.1002/ece3.7209

Turnbull, D., Chugh, R., & Luck, J. (2021). Transitioning to E-Learning during the COVID-19 pandemic: How have Higher Education Institutions responded to the challenge? Education and Information Technologies, 26(5), 1-19. https://doi.org/10.1007/S10639-021-10633-W DOI: https://doi.org/10.1007/s10639-021-10633-w

Urrea, C., Garrido, F., & Kern, J. A. (2021). Design and Implementation of Intelligent Agent Training Systems for Virtual Vehicles. Sensors, 21(2), 492. https://doi.org/10.3390/S21020492 DOI: https://doi.org/10.3390/s21020492

Vincke, B., Florez, S. R. R., & Aubert, P. (2021). An Open-Source Scale Model Platform for Teaching Autonomous Vehicle Technologies. Sensors, 21(11), 3850. https://doi.org/10.3390/S21113850 DOI: https://doi.org/10.3390/s21113850

Published

2025-01-23

How to Cite

Pachacama-Nasimba, V. P., Villacrés-Arias, G., Carlín-Chávez, E., & Maliza-Cruz, W. (2025). Methodology for the creation of virtual learning environments for the subject Automotive Mechanics in Higher Education. CONECTIVIDAD, 6(1), 195–210. https://doi.org/10.37431/conectividad.v6i1.226