Research on the Path of AI-driven Digital Collaborative Innovation of Industry-Education Integration in Vocational Undergraduate Education

Abstract

To address the digital collaboration challenges in industry-education integration at private vocational undergraduate institutions
driven by Artificial Intelligence (AI), and to explore innovative pathways tailored to the "intelligent transformation" demands of industries,
this study systematically reviews theoretical achievements in AI-enabled industry-education integration and analyzes core issues through practical case studies of private vocational undergraduate programs. The findings reveal that the primary challenges include imbalanced schoolenterprise interest alignment, insufficient digital competencies among faculty, and disconnection between curriculum updates and industrial
iterations. Establishing long-term mechanisms, strengthening faculty development, and refining curriculum systems can effectively resolve
these issues. The conclusion indicates that AI technology can reconstruct the logic of industry-education collaboration, providing support for
private vocational undergraduate institutions to enhance the quality of industry-education integration and cultivate digitally applied talents.