Research on Teaching Methods and Talent Cultivation of Digital Media in Higher Vocational Colleges Empowered by AI

  • Lie Shan Anhui Communications Vocational & Technical College, Hefei 230051, Anhui, China
Keywords: AIGC, Higher vocational education, Digital media teaching, Talent cultivation mode

Abstract

Against the backdrop of AIGC driving the transformation of the digital media industry and a 300% surge in job demands, higher vocational education is presented with an opportunity to narrow the gap with undergraduate institutions. Anhui Communications Vocational and Technical College took the lead in exploring the empowerment of teaching by AIGC. By setting up a generative artificial intelligence micro-major and reconstructing the curriculum system, it integrated the latest AIGC large models and application tools into teaching, and enhanced classroom vitality through the “case demonstration + interactive discussion” mode. We have established AIGC training rooms, deepened school-enterprise cooperation, and, on average, over 100 students participate in practical enterprise projects each year [1]. Practice has proved that students’ creative efficiency has significantly improved, with the winning rate in provincial competitions increasing by 40% and the employment rate in the metaverse field growing by 35%. The training model of “basic courses + tool training + industrial projects” constructed by the college provides a replicable model for the teaching reform of the digital media major in higher vocational colleges in the AIGC era [2].

References

Chen L, Wang J, 2024, Artificial Intelligence Empowering Vocational Education: Connotation, Model and Practical Path. China Vocational and Technical Education, 2024(10): 5–12.

Li H, Zhang B, 2024, Exploration on the Application of AIGC Technology in Digital Media Art Design Teaching. Modern Vocational Education, 2024(25): 110–112.

Zhao J, Liu X, 2024, The Construction and Practice of AIGC Talent Cultivation Model in Higher Vocational Education: A Case Study of Guangdong Polytechnic of Science and Technology. Vocational and Technical Education, 45(26): 35–40.

He Y, Xu N, 2024, The Logic and Path of AI Technology Promoting the Reform of Vocational Education Curriculum. China Vocational and Technical Education, 2024(22): 18–24.

Yan X, Huang E, et al., 2024, Research on Curriculum Optimization Strategies for Introducing AI Technology in Digital Media Art Major. Design Art Research, 14(6): 113–119.

Feng L, 2025, Accelerating the Reform of Digital Media Professional Teaching. Hebei Economic Daily, April 3, 2025.

Zhang P, 2024, Reflections and Exploration on Teaching Reform of Digital Media in Higher Vocational Colleges. Academic Weekly, 2024(33): 1–3.

Wang M, 2024, Research on the Teaching Design of Digital Media Courses in Higher Vocational Colleges Based on PBL Model. News World, 2024(9): 111–113.

Huang L, 2024, Teaching Strategies for Digital Media Application Technology in Higher Vocational Education under the “Internet+” Environment. Science & Technology Economic Market, 2024(5): 149–151.

Gao X, 2022, Discussion on the Practice Teaching Model of Digital Media Application Technology in Higher Vocational Colleges. Shanxi Youth, 2022(16): 52–54.

Chen L, 2022, Teaching Practice of Digital Media Application Technology Course System. Electronic Technology, 51(2): 258–259.

Li Y, 2021, Research on Teaching Reform and Practice of Digital Media Technology in Higher Vocational Colleges. Science and Technology Horizon, 2021(33): 171–172.

Liang J, 2025, Thoughts on the Deep Transformation of Vocational Education and Teaching Driven by Artificial Intelligence. Research on Continuing Education, 2025(6): 77–82.

Xu C, 2025, Strategies for Improving the Quality of Information Technology Courses in Higher Vocational Colleges in the Era of Artificial Intelligence. China Modern Educational Equipment, 2025(7): 143–145 + 153.

Lu S, Pan Y, 2025, Application of AIGC in the Teaching of Exhibition Design Course in Higher Vocational Colleges. Information & Computer, 37(7): 230–232.

Published
2025-10-17