Keywords
Transportation-related majors
Adaptability
Competency development
Teaching reform
Submitted : 2026-02-16
Accepted : 2026-03-03
Published : 2026-03-18
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.
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