Xiao Han

With the deep infiltration of artificial intelligence technology in education sector, as a key carrier for developing high-level technical talents, vocational undergraduate education is facing unprecedented challenges and opportunities in its conventional teaching models. This paper takes the core elements of teaching models in vocational undergraduate education as the point of penetration, systematically analyzes the deep impact of artificial intelligence technology on the reconstruction of learning objectives, the updating of instructional content, the innovation in teaching methods, and the optimization of teaching assessment, and points out that there are some problems, such as insufficient integration of technology and teaching, mismatch of teaching competency, and weak personalized teaching in current vocational undergraduate education in the process of using artificial intelligence technology. Based on this, this paper proposes adaptive reform strategies from four dimensions: establishing a teaching system integrating “AI + practice”, building compound teaching faculty, refining a personalized teaching framework, and perfecting an AI-enabled teaching assessment system, and aims to provide a feasible pathway for vocational undergraduate education to enhance their quality of talent development by leveraging artificial intelligence technology.

Artificial Intelligence (AI) Technology; Vocational Undergraduate Education; Teaching Models; Adaptive Reform; Technical Talents

[1] Lin Zhong.(2025)Thought and Practice on Generative Artificial Intelligence Technology Empowering Classroom Teaching in Vocational Colleges and Universities[J].Teacher,14,134-136. [2] Jiangmin Yu,Lin Qiu,Sudong Lu and Mei Li.(2025)Construction of the “ Four Integrations ” Teaching Model Integrating Artificial Intelligence Technology into Agricultural Planting Courses in Vocational Colleges and Universities[J].Survey of Education,14(10),1-6. [3] Xinggang Li and Qiongqiong Sun.(2025)Application of Artificial Intelligence Technology in the Innovation of Teaching Models in Vocational Education in Henan Province[J].Information and Computer,37(02),200-202. [4] Zichen Li,Jiangyue Liu and Dan Wang.(2024)Teaching Practice of Artificial Intelligence Technology in Vocational Education[J].Electronic Technology,53(11),74-77.

点击下载PDF