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Research on the Digital Transformation and Infiltration Measures of Aesthetic Education in Colleges and Universities under the Guidance of AIGC

Author(s)

Yanchi Chen*

Affiliation(s)

Jiangsu Maritime Institute, The School of Cruise and Art Design, Nanjing, China *Corresponding Author

Abstract

Driven by the Digital China strategy and the "educating people through aesthetics" policy, aesthetic education in universities is at a crucial stage of transformation from the "traditional paradigm" to "digital immersion". As a core breakthrough in digital technology, generative artificial intelligence (AIGC), with its powerful capabilities in content generation, interactive adaptation, and personalized services, provides new impetus for the "precise supply", "emotional resonance", and "cross - domain integration" of aesthetic education in universities. Through an investigation of the current situation of aesthetic education in universities, this paper analyzes the three major pain points of traditional aesthetic education in resource supply, teaching mode, and evaluation system. Combining with the technical characteristics of AIGC (generativity, interactivity, and emergence), it proposes a three - dimensional transformation framework of "technology - content - subject", and designs an immersive implementation path from four aspects: curriculum system reconstruction, teaching scenario innovation, evaluation mechanism optimization, and teacher - student ability cultivation, providing theoretical support and practical reference for the digital transformation of aesthetic education in universities.

Keywords

AIGC; Aesthetic Education in Universities; Digital Transformation; Aesthetic Education Immersion; Digital Literacy

References

[1] Ministry of Education. Opinions on Comprehensively Strengthening and Improving School Aesthetic Education in the New Era[Z]. October 15, 2020. [2] Runway ML. Generative AI in Art Education: A White Paper[R]. 2023. [3] Gu Mingyuan. Educational Modernization and the Transformation of Aesthetic Education[J]. Educational Research, 2021(06): 4 - 12. [4] Wang Zhuli. Intelligent Education: The Transformation from Tools to Ecology[J]. Journal of Distance Education, 2022(03): 3 - 11. [5] Zhou Xing, Huang Zongxian. Exploration on the Application of AIGC Technology in Art Education in Colleges and Universities[J]. Art Research, 2023(02): 112 - 118.