ARTICLE
Volume 8,Issue 7
18 March 2026
Exploration of Student Training and Adaptive Teaching Reform for Transportation-Related Majors Under the Enabling Role of Artificial Intelligence
Yanlin Zhang
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1
Jiangsu Jiaotong College, Zhenjiang 212028, Jiangsu, China,
erd 2026 , 8(2), 181–187;
https://doi.org/10.26689/erd.v8i2.14277
© 2026 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
With the rapid development and widespread application of artificial intelligence (AI) technology, the traditional transportation field has been impacted and is gradually transforming towards intelligence and digitalization, which puts forward new requirements for the comprehensive literacy and technical capabilities of transportation-related professionals. However, the teaching models and talent training goals of higher vocational colleges are difficult to adapt to the demand for compound technical and skilled talents in the development of intelligent transportation. Based on this, this paper will explore the paths of student training and adaptive teaching reform for transportation-related majors from the perspective of AI empowerment, aiming to provide reference for improving the quality of talent training in transportation-related majors and promoting teaching reform.
References
Li X, Jia Z, Fan Y, 2024, Discussion on the Application of Generative Artificial Intelligence in Intelligent Transportation Teaching. Shanxi Youth, 2024(23): 187–189.
Wu Y, Guo Y, 2024, Research on the Impact of the Development of New-Generation Information Technology on Cultivating High-Quality Graduate Students in Transportation Majors. Logistics Engineering and Management, 46(12): 170–176.
Du M, Li X, Jiang X, 2024, Exploration of the Talent Training Model of Industry-Education Integration for Transportation Majors Under the Background of Digital Intelligence Empowerment. Transportation Science and Technology and Management, 5(22): 176–178.
Wang N, 2024, Research on the Evaluation and Optimization of Blended Teaching Effect for Transportation Majors Under the Digital Background. Heilongjiang Science, 15(15): 102–104.
Liang Z, Li Y, Wang R, et al., 2024, Research on the Teaching of Intelligent Transportation Competitions Integrating Industry-University-Research and Curriculum Ideological and Political Education. Journal of Applied Higher Education Research, 9(02): 83–88.
Feng J, Wang X, 2024, Exploration of the Application of Virtual-Real Integration Digital Twin Technology in Transportation Professional Teaching. Electronic Components and Information Technology, 8(06): 22–24.
Qu J, Wang H, Cui Y, et al., 2023, Research on the Reform of the Integrated Curriculum System of “Artificial Intelligence + Transportation” Majors in Local Universities. Gansu Education Research, 2023(09): 140–143.
Xu S, 2023, Practical Understanding of Promoting Teaching Reform for Transportation Majors in Applied Undergraduate Universities. Journal of Heilongjiang College of Teacher Development, 42(05): 47–49.
Liu Z, Han W, Wang C, et al., 2023, Exploration of Practical Teaching Models for Transportation Majors Under the Background of “New Engineering”. Logistics Technology, 42(02): 153–156 + 160.
Li W, Li Y, 2022, Thoughts on the Teaching Reform of Transportation Management Majors in the 5G Era. China Shipping Weekly, 2022(48): 64–66.
Li Z, An Y, Yao D, et al., 2022, Research on the Knowledge Service Model of Rail Transit Majors Under the Background of Digital Transformation. Railway Technology Innovation, 2022(03): 42–47.
Liu M, Zhang P, Tan L, 2022, Exploration of Talent Training Models for Transportation Majors Under the Background of “Smart City” Construction. Journal of Innovation and Entrepreneurship Theory Research and Practice, 5(06): 119–121.
Wang P, 2021, Analysis of Talent Training and Teaching Reform for Urban Rail Transit Majors in Secondary Vocational Schools. Teachers, 2021(32): 101–102.
Yu B, 2021, Professional Talent Training Models in Higher Vocational Colleges from the Perspective of Modern Apprenticeship. Urban Mass Transit Research, 24(03): 223.
Wang J, 2020, Research on the Practice of Talent Training for Urban Rail Transit Majors in Higher Vocational Colleges. Education Observation, 9(34): 93–95.
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