Research on the Issues and Countermeasures of Integrating AI into Professional Learning for Vocational College Students

 Chen Yuxu

Sichuan Vocational and Technical College of Chemical Industry

Abstract：

The popularization of artificial intelligence technology provides a new path for improving the quality and efficiency of higher vocational education, adapting to job practice, and promoting the transformation of traditional skill-based learning to intelligent, scenario-based, and efficient modes. Vocational colleges have the core goal of cultivating high-quality technical and skilled talents, and students' professional learning focuses on practical application, job adaptation, and skill implementation. At present, most vocational college students have a basic awareness of using AI tools, but there are many practical shortcomings in the deep integration of AI and professional learning, the application of knowledge, and standardized use. There are generally problems such as shallow use, insufficient adaptability, cognitive bias, and ability disconnection, which make it difficult to truly realize the core value of AI empowering professional skills improvement and connecting with industry intelligent positions. This article focuses on the learning characteristics and professional training positioning of vocational college students, sorts out the current situation of AI integration into professional learning, deeply analyzes the core problems in the learning process, and proposes targeted optimization strategies based on vocational teaching scenarios and job requirements. It provides practical reference for vocational college students to rely on AI to improve their professional learning and adapt to intelligent industry positions.

Key Words：

vocational colleges; student group; AI technology; professional learning; learning empowerment