AI 생성형 산업 디자인을 대비하기 위한 컴퓨테이셔널 디자인 교육 고찰

This study explores the computational design and coding education needs in the field of product design, with a particular focus on the impact of generative AI technologies on product design. It analyzes the development of AI technologies and the educational needs to utilize them in design, and aims to cultivate design skills using AI and coding skills. In particular, it examines coding education methods suitable for non-programmers and design methods using languages such as Python. This study introduces the innovations that generative AI technologies have brought to the field of design and discusses the new competencies that these technologies require of designers. Next, existing research and practical examples of AI applications from the perspective of industrial design are first analyzed, followed by an in-depth review of computational design, including parametric design and generative design. Next, we examined the needs for coding education to more effectively apply these design techniques. Finally, this study examined the potential for computational design to play an important role in the evolution to an AI-driven industrial design environment in the future, and proposed educational content and directions to prepare for this. This paper aims to develop students' ability to understand the advantages and limitations of AI and to utilize it as a tool for designing three-dimensional solid shapes in the current transitional situation where generative AI is beginning to be utilized in industrial design.