Research on the Path of Integrating Industry and Education to Improve the Career Development Ability of College Students with the Help of Artificial

Abstract

Against the backdrop of deep integration between the digital economy and educational reform, artificial intelligence (AI) technology has opened up new possibilities for enhancing the quality and efficiency of industry-education integration. This paper focuses on the core needs of college students 'career development capabilities, exploring the inherent logic and practical pathways for AI-powered industry-education integration. By analyzing current challenges in resource alignment, teaching adaptation, and evaluation feedback within industry- education integration, the study proposes key solutions from a technology-enabled perspective: establishing intelligent supply-demand matching platforms, developing personalized training systems, and creating dynamic evaluation mechanisms. The research aims to bridge the gap between industrial demands and educational resources through AI technology, achieving precise resource alignment, collaborative teaching process optimization, and targeted vocational skill cultivation. These efforts provide theoretical references and practical guidance for enhancing college students' employability and promoting deeper integration between education and industrial chains.