공간디자인 교육에서 창의적 발상을 위한 생성형 인공지능 활용 가능성에 관한 연구 -전위법을 기반으로 한 미드저니 활용을 중심으로-

(Background and Purpose) Generative artificial intelligence (AI) is a new area capable of implementing images in a short time. Therefore, discussions on spatial and field design must be derived as a result of the possibilities of use. Currently, it is expected to be seen as soon as practice, but it is also used to be seen as necessary for research and verification attempts to use the future appropriate utilization attempts. Therefore, this study explores the possibility of using AI as one of the core capabilities of designers. (Method) To explore the possibility of using generative AI based on creative ideas in spatial design education, which is the research purpose, a theoretical consideration of spatial design and creativity is conducted and the correlation is identified. Furthermore, the underlying characteristics that can derive creative results are linked to the characteristics of the potential method. Based on the characteristics of the potential method, the large language model (LLM) is used to design a prompt to generate an image for the generative AI, Midjourney. The result reflecting the potential method is implemented as an image by entering the prompt. An image containing the potential method characteristics is implemented and goes through an experimental process, and the final result is derived by reflecting the potential method characteristics in the space. (Results) The characteristics of the transposition method could be used as methodological characteristics for creative thinking in the realization of spatial design images. Based on this, text-generating AI LLM (Open AI and Chat GPT) and image-generating, Midjourney, were used to derive numerous prompt information in a short time to develop creative images reflecting the transposition method of various conditions. (Conclusions) It was discovered that generative AI could be used to improve competence through creative processes in spatial design education. Hence, it is significantly important to use new tools and methods and attempt to transform them in a way that goes beyond the existing tools and methods. In addition, AI was useful because it saved time and produced quality results compared to existing tools, such as programs beyond methodological transformation. This implies the possibility of diversified applications. AI can be used in education, practice, and research. Based on this study, it is expected that the use of AI will increase in various fields, such as spatial design education and practice in the future.