Exploration and Innovation of a Competition-Integrated Teaching Model for Vehicle Engineering Based on the OBE-CDIO Approach and Artificial Intelligence

Abstract

The rapid advancement of Industry 4.0, intelligent manufacturing, and the new energy vehicle industry has raised higher demands for vehicle engineering talent, particularly in multidisciplinary integration, practical skills, and innovation. However, traditional teaching models exhibit significant shortcomings, such as a disconnect between theory and practice and inadequate cultivation of innovation capabilities. To address these challenges, this study proposes a teaching reform based on case-based teaching and the OBE-CDIO model. By integrating outcome-based education (OBE) with the conceive-design-implement-operate (CDIO) approach and incorporating academic competitions, the reform establishes a multi-level teaching system that deeply integrates theory and practice. Furthermore, artificial intelligence (AI) is employed to support curriculum design, competition analysis, and personalized student feedback, ensuring a dynamic alignment with industry needs. Following implementation, the completion rate of interdisciplinary graduation projects exceeded 80%, academic competition awards increased by 45%, and the employment rate of students rose from 88% to 96%, with some research outcomes adopted by enterprises. The results demonstrate the model's effectiveness in enhancing students' comprehensive abilities and fostering innovative engineering talent, providing practical insights for engineering education reform.