Research on the Innovation of Teaching Mode of Transportation Course in Colleges and Universities under the Background of Artificial Intelligence

Authors

  • Yexin Zhang Hainan Vocational University of Science and Technology, Haikou, Hainan, China Author

DOI:

https://doi.org/10.70088/e1hxze59

Keywords:

unreal intelligence, DoT, curriculum teaching, teach model innovation, healthy exile

Abstract

Into the systems of the transportation industry, against the backcloth of a new undulation of technical revolution and industrial transformation, technology such as tidings, big information. And digital twins are rapidly incorporate, push the changeover from experience-found management to information-repel and reasoning conclusion-produce framework, hence the technological furtherance in this sphere has parent the bar for cultivating transportation professionals. The traditional teaching model-preponderantly hypothesis-ground, with bounds and evaluation methods-now flunk to fill the requirement of the transportation era for versatile gift. Under the setting of hokey word, in sparkle of this, this composition conducts a discipline on the innovation of teaching models for transportation courses in higher education.

References

L. Wang, "Research on Teaching Reform and Practice in Transportation Engineering: A Case Study of the "Traffic Design" Course," In 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025), June, 2025, pp. 609-614. doi: 10.2991/978-94-6463-750-2_59

W. Luo, and H. Zhou, "Research on the Reconstruction of Talent Cultivation Function in the New Quality Productive Forces System in Vocational Colleges," Journal of Social Science and Cultural Development, vol. 2, no. 3, 2025. doi: 10.70767/jsscd.v2i3.611

V. Nantoi, D. Nantoi, and D. Ceban, "Challenges and solutions for integrating artificial intelligence into transportation engineering education," Вадим Нантой, Vadim Nantoi, 2026. doi: 10.52326/jss.utm.2024.7(4).06

W. Li, and N. Su, "Innovative Research on Interdisciplinary Collaborative Education Mechanisms Driven by Artificial Intelligence," In 2025 5th International Conference on Artificial Intelligence and Education (ICAIE), May, 2025, pp. 666-669. doi: 10.1109/icaie64856.2025.11158384

Y. Mehta, "Innovative techniques to teach transportation engineering," In 2006 Annual Conference & Exposition, June, 2006, pp. 11-772.

J. Woldt, S. Prasad, and C. Ozgur, "Big data and supply chain analytics: Implications for teaching," Decision Sciences Journal of Innovative Education, vol. 14, pp. 155-176, 2020.

Z. Guangjian, and Z. Lizhu, "Construction and application of virtual simulation training platform for passenger compartment door of urban rail transit," In Proceedings of the 2023 7th International Conference on Virtual and Augmented Reality Simulations, March, 2023, pp. 114-120. doi: 10.1145/3603421.3603437

A. Pardo, "Problem-based learning combined with project-based learning: A pilot application in digital signal processing," In 2014 XI Tecnologias Aplicadas a la Ensenanza de la Electronica (Technologies Applied to Electronics Teaching)(TAEE), June, 2014, pp. 1-5. doi: 10.1109/taee.2014.6900128

L. A. Curiel-Ramirez, R. Bautista-Montesano, R. Galluzzi, J. Izquierdo-Reyes, R. A. Ramírez-Mendoza, and R. Bustamante-Bello, "Smart automotive E-Mobility-A proposal for a new curricula for engineering education," Education Sciences, vol. 12, no. 5, p. 316, 2022. doi: 10.3390/educsci12050316

T. A. Khan, H. M. Saud, M. U. Farooq, A. Faraz, and S. Khan, "Artificial Intelligence As a Tutor: Enhancing Self-Regulated Learning In Transportation Engineering Through AI-Driven Feedback," Spectrum of Engineering Sciences, pp. 672-694, 2025.

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Published

31 January 2026

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Article

How to Cite

Zhang, Y. (2026). Research on the Innovation of Teaching Mode of Transportation Course in Colleges and Universities under the Background of Artificial Intelligence. Education Insights, 3(1), 255-261. https://doi.org/10.70088/e1hxze59