SYSTEMATIC LITERATURE REVIEW: FAKTOR-FAKTOR PENENTU MOTIVASI BELAJAR SISWA DALAM PENDIDIKAN VOKASI OTOMOTIF

Fadhil Novriandi Pratama, Muslim Muslim, Wagino Wagino, Toto Sugiarto

Sari


Abstract: This study aims to synthesize the determinants of learning motivation of automotive vocational students towards the Industrial 5.0 era. Using the Systematic Literature Review (SLR) method based on the PRISMA protocol, this study screened the last five years of empirical articles from the Scopus, Web of Science, and Google Scholar databases, which were then tested for quality using CASP instruments before being analyzed thematically, hybridly. Key findings suggest that the integration of Extended Reality (VR, AR, MR) technology has a much greater impact in triggering students' intrinsic motivation than traditional economic incentives, as it acts as a visual scaffolding that reduces the spatial cognitive load and presents psychomotor safety that eliminates motor anxiety through a space of "productive failure". The novelty of this research lies in the formulation of the "Automotive Vocational Motivation Ecological Model" which isolates the immersive ecosystem as an instrument for mitigating emotional saturation, not just a tool to boost cognitive value. Scientifically, this study contributes to expanding Self-Determination Theory and Social Cognitive Career Theory in the engineering environment, while practically providing a blueprint for TVET managers to synergize workshop hardware upgrades with teachers' adaptive instruction to erode negative stigma and produce graduates who master digital literacy and Industry 5.0 interpersonal skills.

 

Keywords: Automotive Vocational Education, Learning Motivation, Immersive Technology, Extended Reality, Psychomotor Safety.


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Daftar Pustaka

Achuodho, H. O., & Piko, B. F. (2025). Identity processing styles and academic achievement: Focus on academic motivation as a moderator among technical and vocational education and training (TVET) students in Kenya. Cogent Education, 12(1), 2584873. https://doi.org/10.1080/2331186X.2025.2584873

Aldossari, A. S. (2020). Vision 2030 and reducing the stigma of vocational and technical training among Saudi Arabian students. Empirical Research in Vocational Education and Training, 12(1), 3. https://doi.org/10.1186/s40461-020-00089-6

Belkis, D. L., & Moreno-Salinas, D. (2025). Active learning methodologies for increasing the interest and engagement in computer science subjects in vocational education and training. Education Sciences, 15(8), 1017. https://doi.org/10.3390/educsci15081017

Chatterjee, S., Bhattacharjee, K. K., Tsai, C. W., & Agrawal, A. K. (2021). Impact of peer influence and government support for successful adoption of technology for vocational education: A quantitative study using PLS-SEM technique. Quality & Quantity, 55(6), 2041–2064. https://doi.org/10.1007/s11135-021-01092-2

Cheng, W., & Nguyen, P. N. T. (2024). Academic motivations and the risk of not in employment, education or training: University and vocational college undergraduates comparison. Education + Training, 66(10), 91–105. https://doi.org/10.1108/ET-06-2023-0205

Chiang, F. K., Shang, X., & Qiao, L. (2022). Augmented reality in vocational training: A systematic review of research and applications. Computers in Human Behavior, 129, 107125. https://doi.org/10.1016/j.chb.2021.107125

Dahalan, F., Alias, N., & Shaharom, M. S. N. (2024). Gamification and game based learning for vocational education and training: A systematic literature review. Education and Information Technologies, 29(2), 1279–1317. https://doi.org/10.1007/s10639-023-11998-w

Fieger, P., & Foley, A. (2024). Perceived personal benefits from study as determinants of student satisfaction in Australian vocational education and training. Education + Training, 66(9), 1293–1310. https://doi.org/10.1108/ET-09-2023-0361

Frady, K. (2023). Use of virtual labs to support demand-oriented engineering pedagogy in engineering technology and vocational education training programmes: A systematic review of the literature. European Journal of Engineering Education, 48(5), 822–841. https://doi.org/10.1080/03043797.2023.2185807

Jaedun, A., Nurtanto, M., Mutohhari, F., Saputro, I. N., & Kholifah, N. (2024). Perceptions of vocational school students and teachers on the development of interpersonal skills towards Industry 5.0. Cogent Education, 11(1), 2375184. https://doi.org/10.1080/2331186X.2024.2375184

Jatmoko, D., Suyitno, S., Rasul, M. S., Nurtanto, M., Kholifah, N., Masek, A., & Nur, H. R. (2023). The factors influencing digital literacy practice in vocational education: A structural equation modeling approach. European Journal of Educational Research, 12(2), 1109–1121. https://doi.org/10.12973/eu-jer.12.2.1109

Jossberger, H., Brand-Gruwel, S., van de Wiel, M. W., & Boshuizen, H. P. (2020). Exploring students’ self-regulated learning in vocational education and training. Vocations and Learning, 13(1), 131–158. https://doi.org/10.1007/s12186-019-09232-1

Kholifah, N., Sudira, P., Rachmadtullah, R., Nurtanto, M., & Suyitno, S. (2020). The effectiveness of using blended learning models against vocational education student learning motivation. International Journal of Assessment Tools in Education, 9(5), 7964–7968. https://doi.org/10.21890/ijate.643324

Liljaniemi, A., & Paavilainen, H. (2025). Enhancing engineering education through immersive environments—a study of the Holodeck VR system in hydraulics and pneumatics. Cogent Education, 12(1), 2530900. https://doi.org/10.1080/2331186X.2025.2530900

Liu, Y., Zhan, Q., & Zhao, W. (2024). A systematic review of VR/AR applications in vocational education: Models, affects, and performances. Interactive Learning Environments, 32(10), 6375–6392. https://doi.org/10.1080/10494820.2023.2175309

Mutohhari, F., Sutiman, S., Nurtanto, M., Kholifah, N., & Samsudin, A. (2021). Difficulties in implementing 21st century skills competence in vocational education learning. International Journal of Evaluation and Research in Education, 10(4), 1229–1236. https://doi.org/10.11591/ijere.v10i4.22064

Sabah, N. M. (2020). Motivation factors and barriers to the continuous use of blended learning approach using Moodle: students’ perceptions and individual differences. Behaviour & Information Technology, 39(8), 875–898. https://doi.org/10.1080/0144929X.2019.1623321

Setyawan, H., Yanto, P., Tri, D., & Kiong, T. T. (2025). The impact of robotic technology in vocational education towards the development of Industry 5.0: A systematic literature review. International Journal of Online and Biomedical Engineering, 21(6), 54–71. https://doi.org/10.3991/ijoe.v21i06.53125

Suryodiningrat, S. P., Prabowo, H., Ramadhan, A., & Santoso, H. B. (2026). Mixed reality system for automotive vocational school: Academic performance and experience assessment. Online Learning Journal, 30(1), 246–264. https://doi.org/10.24059/olj.v30i1.4472

Ulfatin, N., Putra, A. B. N. R., Zahro, A., & Rahmawati, A. D. (2022). Disruptive Learning Media Integrated E-Generator Practice System to Advance Self-Efficacy Learners Levels in Era of Education 4.0. International Journal of Interactive Mobile Technologies, 16(4), 4–21. https://doi.org/10.3991/ijim.v16i04.28114

Wagino, W., Tymofiiv, V., Polin, K., Milana, M., Astuti, M., & Koto, R. D. (2026). Longitudinal analysis of sustainable impact of e-learning integration on academic capabilities, critical thinking skills, and digital behavior of automotive engineering students. International Journal of Information and Education Technology, 16(1), 45–56. https://doi.org/10.18178/ijiet.2026.16.1.2234

Zhao, Y., & Ko, J. (2024). Orchestrating vocational education classrooms for adaptive instruction and collaborative learning. Cogent Education, 11(1), 2351238. https://doi.org/10.1080/2331186X.2024.2351238




DOI: https://doi.org/10.33559/err.v5i3.3985

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