A Feasibility Study on the Two-way Empowerment of Art Education Between Museums and Universities in the Era of AI

The iterative upgrading of artificial intelligence (AI) technology has provided an innovative path for the mutual empowerment of museums and art education in universities. This study focuses on the interaction mechanism between cultural resources and the education system in the AI era, revealing the feasibility and practical value of mutual empowerment. On the one hand, museums, by leveraging generative AI, neural radiance fields and other technologies, transform cultural relics into decomposable dynamic educational resource libraries. These systems facilitate the transformation of cultural and artistic works from physical forms to programmable educational primitives. Through parametric decomposition, style transfer, and spatio-temporal correlation analysis, a cognitive network that supports cross-disciplinary knowledge production is formed. On the other hand, through creative data feedback and algorithmic innovation in higher education practice, cultural connotations are cultivated, thereby transforming the role of museums from cultural custodians to educational enablers, and universities from knowledge disseminators to engines of cultural reproduction, promoting the modern translation of traditional cultural elements. This two-way empowerment mechanism provides technical solutions to historical problems such as the closed nature of cultural resources and the suspension of educational practice, and lays a theoretical foundation for the transformation of humanities education in the digital civilization era. From the perspective of the popularization of artificial intelligence technology, this article deeply explores the possibility of two-way empowerment between museums and university art education, and further explores the paths of two-way empowerment between museums and universities in the era of artificial intelligence.