Modern Social Science Research

The rapid advancement of artificial intelligence (AI) technology presents new opportunities for traditional Chinese culture education in higher vocational colleges. Taking the five-year integrated program of Chinese language teaching as a case study, this paper explores innovative vocational education models that leverage AI to enhance traditional culture education. An analysis of current applications of AI in traditional culture education reveals challenges such as superficial technological integration, rigid and monotonous teaching methodologies, insufficient digital literacy among teachers, and outdated evaluation systems. To address these issues, the study proposes improvement strategies across four dimensions: reconstructing teaching content, innovating pedagogical approaches, enhancing faculty capabilities, and optimizing assessment mechanisms—thereby establishing a deeply integrated “AI + Traditional Culture” vocational education model. Pilot implementations demonstrate that this model effectively boosts students’ motivation to learn traditional culture, enhances their comprehensive Chinese language proficiency and cultural identity, and simultaneously facilitates shifts in teachers’ instructional philosophies and technical competencies. The approach holds significant promise for advancing reforms in higher vocational Chinese teaching and fostering deeper integration among AI, vocational education, and traditional Chinese culture.

Artificial intelligence; Traditional culture education; Innovation in vocational education Models; Practical pathways