Author(s)

Xiang Li ¹, Mengxin Yao ¹, Xiaobing Tang ¹

Affiliation(s)

¹ School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China

Corresponding Author

Xiaobing Tang

ABSTRACT

The rapid evolution of intelligent connected vehicle (ICV) technology has exposed limitations in traditional lecture-based teaching models, which struggle to equip students with the practical engineering competencies and AI-driven innovative capabilities demanded by the industry. While project-based learning (PBL) enhances knowledge integration and application skills, its implementation in automotive engineering curricula faces challenges such as knowledge gaps in interdisciplinary projects and mismatches between diverse solution approaches and student capabilities. Artificial intelligence (AI) offers a transformative pathway to address these issues. Developed through the project-based course Automotive Control System Analysis and Practice, a systematic AI-enhanced framework has been introduced, incorporating specific strategies for refining learning objectives, optimizing project structures, improving evaluation mechanisms, and redefining instructors' roles. This initiative establishes an integrated curriculum and assessment system that provides continuous support throughout the PBL process. The ultimate goal is to cultivate a new generation of exceptional engineers in the AI-enhanced ICV sector, capable of effectively leveraging artificial intelligence to solve complex, project-based engineering challenges.

KEYWORDS

Artificial Intelligence, Project-Based Learning, Automotive Control Systems, Vehicle Engineering

CITE THIS PAPER

Xiang Li, Mengxin Yao, Xiaobing Tang, Reform of the Teaching Model for Automotive Control System Courses through AI-Enhanced Project-Based Learning. Curriculum and Teaching Methodology (2025) Vol. 8: 102-106. DOI: http://dx.doi.org/10.23977/curtm.2025.080814.

REFERENCES

[1] Benlaghrissi, H. and Ouahidi, L.M. (2024) The impact of mobile-assisted project-based learning on developing     EFL students' speaking skills. Smart Learning Environments, 11(18), 2-30.
[2] Wang, C.C. and Hou, Q.Q. (2025) Exploration of Teaching Model Reform in Automotive Fault Diagnosis Courses under the CBL+PBL Concept. Curriculum and Teaching Methodology, 8(4),36-40.
[3] Pang, L.C. (2025) Research on collaborative task allocation of unmanned vehicles based on digital twin. [Master' s thesis, Xi 'an Technological University]. 
[4] Yu, Y. (2025) A study on the application of project-based learning in the teaching of whole-book reading of foreign novels in junior high school Chinese. [Master's thesis, Tarim University].
[5] Dong, J.Y. (2025) Exploring the pathways of generative artificial intelligence empowering cross-disciplinary project-based learning. Basic Education Curriculum, 02, 22-29.
[6] Zheng, S.J. (2025) Design and implementation of project-based learning assisted by artificial intelligence technology in primary school music curriculum. Gansu Education Research, 16, 158-160. 

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