International Journal of Education

To meet the urgent demand for technical and skilled talents in the digital economy and industrial intelligent transformation, vocational education urgently needs to promote the systematic reform of the teaching system with the help of artificial intelligence technology. Taking the in-depth integration of AI and vocational education as the research core, this paper systematically analyzes the background, core values and practical dilemmas of AI empowering vocational education teaching reform by using methods of literature research, case analysis, practical investigation and comparative research. It constructs a complete practical path around five dimensions: curriculum system reconstruction, teaching mode innovation, intelligent practical training construction, diversified evaluation optimization, and teacher ability improvement. Combined with technological development trends and vocational education laws, this paper makes a comprehensive prospect for the future intelligent, personalized and collaborative development direction. The study finds that AI can effectively solve the prominent problems in traditional vocational education, such as homogeneous teaching, high practical training costs, poor integration of industry and education, and insufficient evaluation accuracy. By building a new teaching ecology of “human-machine collaboration, virtual-real integration and data-driven”, it can realize large-scale personalized education and high-quality talent training. In the future, we should further improve the technical standards, data security, ethical norms and institutional guarantee system, promote AI from auxiliary tools to in-depth integration, comprehensively improve the quality of talent training in vocational education, and provide strong support for the construction of modern industrial system and the development of skilled society.

Artificial intelligence; Vocational education; Teaching reform; Practical path; Digital-intelligent talent cultivation; Industry-education integration; Intelligent practical training