Research on the AI-Driven Digital Collaborative Innovation Path for Industry-Education Integration in Private Vocational Undergraduate Universities

Abstract

Against the backdrop of digital transformation, private vocational undergraduate universities face an urgent need to overcome the limitations of traditional industry-education integration models. This study constructs an integrated theoretical model combining industry-ducation integration with AI-driven approaches, clarifying the synergistic mechanism between the "data-algorithm-platform" technological foundation and the multi-agent network. By analyzing the elemental structure of digital collaborative innovation, AI-enabled dimensions, and dynamic processes, the study proposes a pathway construction scheme based on the principles of systemic coupling, agile iteration, and value co-creation. It designs an implementation plan comprising a three-phase strategy and a resource virtualization aggregation mechanism, while establishing a three-dimensional safeguard system covering technology, organization, and institutions. This forms a self-adaptive and optimizable collaborative ecosystem. The research provides an innovative theoretical framework and practical pathway for private vocational undergraduate universities to achieve deep integration between the educational chain and the industrial chain.