EIREducational Innovation Research3029-18443029-1852WHIOCE PUBLISHING PTE. LTD.10.18063/EIR.v4i4.1934ArticleAesthetic Cultivation Pathways in University Public Art Education Enabled by AIGC Technologyhttps://artdesignp.com/journal/EIR/4/4/10.18063/EIR.v4i4.1934WeiYukun2026442026-04-26The widespread adoption of artificial intelligence-generated content (AIGC) technology in education is reshaping conventional teaching paradigms. Public art education in universities urgently needs a transformation in aesthetic cultivation. Taking AIGC’s dual impacts on aesthetic education as the starting point, this paper analyzes prevailing dilemmas in university public art education, including resource scarcity, monotonous pedagogical methods, and lagging evaluation systems. It proposes three core mechanisms: resource generation, human-machine co-creation, and immersive experience, as well as four practical paths: curriculum reconfiguration, teaching innovation, evaluation reform, and ethical regulation, to provide theoretical references for art education practitioners in universities.AIGC technology, University public art education, Aesthetic cultivation, Human–machine co-creation, Educational practice pathways

[1] Tlili A, et al., 2023, What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1): 15. [2] Kasneci E, et al., 2023, ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103: 102274. [3] Chiu TKF, 2024, The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney. Interactive Learning Environments, 32(8): 4457-4473. [4] Zeide E, 2023, The structural consequences of AI-generated art. Big Data & Society, 10(1). [5] Bodrožić I, et al., 2024, Generative artificial intelligence in art and design higher education: a systematic literature review. International Journal of Technology and Design Education, 34: 1787-1811. [6] Hong Y, Kim H, 2024, AI as a co-creator? Exploring the potential of generative AI in design education. International Journal of Art & Design Education, 43(3): 567-582. [7] Lee H, Lee J, 2025, Fostering aesthetic literacy in the age of AI: A pedagogical framework for public art education. Educational Technology Research and Development, 73(1): 201-220. [8] Gómez-Zeledón JA, Kozak M, 2024, Generative AI in the art classroom: A new era of creativity or a threat to originality? Journal of Art Education, 77(3): 12-18. [9] Zheng Q, et al., 2023, Potential risks and governance pathways of generative AI applications in education. Modern Distance Education Research, 35(3): 3-11. [10] Peng F, 2021, Art education and aesthetic experience in the age of artificial intelligence. Peking University Education Review, 19(4): 2-15.