Fuchun Yuan

Fuchun Yuan

Oct. 30, 2026

Artificial intelligence, Private universities, Illustration teaching, Teaching mode, Man-machine cooperation.

Due to the rapid development of generative artificial intelligence (AIGC) technology, the logic of visual art generation is being reconfigured and reconstructed, which theoretically challenges the teaching reform of digital art courses in private universities. Theoretical basis and operational logic of artificial intelligence technology intervention in the art education For facing the structural contradiction between skill training and creative expression, as well as resource supply and personalized demand in traditional Photoshop illustration teaching under the background of digital transformation of education, this article combs out the epistemological foundation and operational logic behind AI technology intervention in art education. This paper elaborates on this design of man-machine collaborative teaching model based on “double-qualification+intelligence”, and the boundary division of man-machine collaboration, as well as the mapping relationship in each stage. It also proposes a multi-dimensional evaluation system covering from algorithm calling, original integration and aesthetic judgment. The combination of technical empowerment can effectively relieve the bottleneck of teaching quality under the constraint of class hours, and promote students' cognitive focus from tool operation to intention decision-making. Private universities should integrate the value orientation of technical rationality serving to humanistic creation, improve the ethical norms of copyright, and establish a dynamic curriculum renewal mechanism; realize leapfrogging from standardized skills training to innovative literacy cultivation.

© 2026, the Authors. Published by ISCCAC

This is an open access article distributed under the CC BY-NC license