Interdisciplinary Integration in Design Education for the AI Era: A Case Study of Ceramic Product Design

In the context of artificial intelligence (AI) reshaping the design field, this paper explores how design education can address the innovative demands of the intelligent era through interdisciplinary integration. Taking ceramic products as a representative case, this study focuses on the convergence of cutting-edge technologies such as materials science, computer-aided design, and machine learning to construct a new design education framework tailored to the AI era. Employing theoretical construction and case analysis, this research elucidates the "Intelligent Ceramic Design" framework, integrating generative design, data-driven modeling, and additive manufacturing technologies to systematically explore innovative pathways for ceramic products in functionality, aesthetic expression, and sustainability. Concurrently, it examines the feasibility and challenges of technological integration. The findings indicate that interdisciplinary integration significantly expands the innovative dimensions of ceramic design at technological, educational, and industrial levels. Design education in the AI era must transcend traditional disciplinary boundaries, systematically merging intelligent technologies with traditional craftsmanship to cultivate versatile design talents equipped with design thinking, engineering literacy, and humanistic sensitivity. The case study of ceramic products demonstrates that interdisciplinary integration is a core strategy for design education to adapt to future industrial transformations. Future research should further explore mechanisms for balancing intelligent technologies with cultural heritage, as well as the potential applications of emerging technologies in design.