The Application of Artificial Intelligence (AI) In Vehicle Motion Mechanics Learning to Optimize Students' Critical Thinking and Problem-Solving Skills

Authors

  • Amin Zuhdi Almunawar Universitas Negeri Padang
  • Hasan Maksum Universitas Negeri Padang
  • Muhammad Adri Universitas Negeri Padang
  • Irma Yulia Basri Universitas Negeri Padang

DOI:

https://doi.org/10.58344/jws.v4i12.1611

Keywords:

Artificial Intelligence, Critical Thinking, Problem Solving, Vocational Education, Vehicle Motion Mechanics, Project-Based Learning

Abstract

The integration of Artificial Intelligence (AI) in vocational education opens up transformative opportunities to develop 21st-century skills, especially critical thinking and problem-solving, which are key competencies for prospective professionals in the automotive sector. This study examines the effectiveness of using AI (Claude and Pollo AI) through the Project-Based Learning (PjBL) model in improving the critical thinking and problem-solving skills of automotive engineering students in the Vehicle Motion Mechanics course. The study, using a pre-experimental intact group comparison design, involved 37 third-semester students, consisting of an experimental group () and a control group (). The experimental group learned using AI-based PjBL, while the control group received conventional Discovery Learning. Data were collected through validated analytical rubrics and analyzed using an independent samples t-test and effect size. The results showed that the experimental group obtained a much higher critical thinking score (M = 82.45; SD = 6.23) compared to the control group (M = 71.33; SD = 7.89), . Similar improvements were also found in problem-solving skills (M = 84.12; SD = 5.87 vs. M = 69.78; SD = 8.45), , which indicates a strong practical impact. These findings confirm that the integration of AI through PjBL effectively strengthens critical thinking and problem-solving skills in automotive vocational education, while providing empirical evidence to drive technology-based engineering learning transformation.

References

Andri, S., Maksum, H., & Anwar, M. (2025). Pengaruh project based learning terhadap hasil belajar siswa pada materi gambar teknik. EDU RESEARCH, 6(2), 578-584.

Badan Pusat Statistik. (2025). Tingkat pengangguran terbuka berdasarkan tingkat pendidikan.

Billett, S. (2011). Vocational education: Purposes, traditions and prospects. Springer.

Çela, E., Vajjhala, N. R., Eappen, P., & Vedishchev, A. (2025). Artificial intelligence in vocational education and training. In Transforming vocational education and training using AI (pp. 1-16). IGI Global.

Daryanto, & Raharjo, M. (2012). Model pembelajaran inovatif. Gava Media.

Falaq, F. I., Nafi'a, M. Z. I., & Damayanti, N. D. (2023). Strategy for implementing artificial intelligence in revitalizing vocational education in Indonesia. Innovative: Journal of Social Science Research, 3(4), 10497-10505.

Griffin, P., McGaw, B., & Care, E. (Eds.). (2012). Assessment and teaching of 21st century skills. Springer.

Hsieh, S., Ravichandran, T., & Sharma, R. (2025). Artificial intelligence, automation, and technical and vocational education and training. Engineering Proceedings, 103(1), 9.

Lawasi, M. C., Rohman, V. A., & Shoreamanis, M. (2024). The use of AI in improving student's critical thinking skills. Proceedings Series on Social Sciences & Humanities, 18, 366-370.

Lintner, A. (2024). A case study on critical thinking and artificial intelligence in middle school education. Turkish Online Journal of Educational Technology, 23(3), 45-67.

Mulyasa, E. (2014). Pengembangan dan implementasi kurikulum 2013. Remaja Rosdakarya.

Pavlova, M. (2024). Technology and vocational education for sustainable development. Springer.

Putra, I. P., Adri, M., & Irfan, D. (2025). Artificial intelligence in education: Opportunities and challenges in the transition from Industry 4.0 to Society 5.0. Jurnal Vokasi Informatika, 5(1), 1-14.

Suhaedin, E., Maksum, H., & Waskito, W. (2024). Transformasi pendidikan vokasi: Kinerja pendidik, motivasi dan implementasi kurikulum merdeka. Equator Journal of Management and Entrepreneurship, 12(3), 244-250.

Suparyati, A., Widiastuti, I., Saputro, I. N., & Pambudi, N. A. (2023). The role of artificial intelligence in vocational education. JIPTEK: Jurnal Ilmiah Pendidikan Teknik dan Kejuruan, 17(1).

Suriasumantri, J. S. (2010). Filsafat ilmu: Sebuah pengantar populer. Pustaka Sinar Harapan.

Syamsara, A., & Widiastuty, H. (2024). Student perceptions of AI Claude as a tool for academic writing development. In International Seminar (Vol. 6, pp. 890-898).

Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom. International Journal of Educational Technology in Higher Education, 21, 15.

Zhang, W., & Pu, X. (2025). Automated written corrective feedback of generative AI in EFL students' English argumentative essays. In Proceedings of the 2025 International Conference on Digital Education.

Zhou, H., & Zhou, D. (2024). Transformation of vocational education based on generative artificial intelligence. Proceedings of ITEI 2023.

Zukna, I., & Sassi, K. (2024). Prospek sistem pendidikan vokasi di Indonesia abad-21. NUSRA: Jurnal Penelitian Dan Ilmu Pendidikan, 5(4), 1578-1588.

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Published

2026-01-02

How to Cite

Zuhdi Almunawar, A., Maksum, H., Adri, M. ., & Yulia Basri, I. (2026). The Application of Artificial Intelligence (AI) In Vehicle Motion Mechanics Learning to Optimize Students’ Critical Thinking and Problem-Solving Skills. Journal of World Science, 4(12). https://doi.org/10.58344/jws.v4i12.1611

Issue

Vol. 4 No. 12 (2025): Journal of World Science

Section

Articles

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Copyright (c) 2025 Amin Zuhdi Almunawar, Hasan Maksum, Muhammad Adri, Irma Yulia Basri

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