Artificial Intelligence – Driven Design of Aesthetic Education Curricula in Higher Education

Abstract

With the rapid advancement of artificial intelligence (AI) technologies, traditional university aesthetic education courses face challenges such as limited teaching modalities, inefficient resource utilization, and outdated assessment methods. Building on a comprehensive review of AI applications in education and classic theories of aesthetic education curricula, this paper proposes an "AI–Empowered Framework for University Aesthetic Education Curriculum Design", clarifying the central role of AI in course positioning, instructional objectives, and evaluation systems. Within this framework, we explore strategies for intelligent instructional content and resource design, AI–driven pedagogical innovations, and the development of intelligent platforms and creative evaluation tools for instructors and students. Through case studies in leading universities and empirical data analysis, we demonstrate that integrating AI into aesthetic education enhances students' artistic creativity, increases course engagement, and optimizes teaching management. Finally, we address challenges related to technology ethics, data security, and faculty development, and offer corresponding countermeasures and future research directions. This study enriches the theoretical system of aesthetic education Curriculum Design and provides actionable guidance for constructing an intelligent, aesthetic–centered learning ecosystem in the AI era.