| Title |
Consideration on Adopting Generative AI in Architectural Design Education |
| Authors |
추승연(Choo, Seungyeon) ; 박정민(Park, Jungmin) ; 홍순민(Hong, Soon Min) |
| DOI |
https://doi.org/10.5659/JAIK.2025.41.9.57 |
| Keywords |
Architecture Design Education; Generative AI; Stable Diffusion; Architecture Image Generation; AI in Architecture |
| Abstract |
This study explores the effectiveness and educational potential of incorporating AI into architectural education, with a focus on design courses using Stable Diffusion (SD). A comparison between the 2023 and 2024 courses reveals that advancements in AI technology and improvements in instructional environments positively impacted student outcomes. SD helped students quickly visualize their ideas and explore a range of design alternatives. Beyond serving as a visualization tool, it became an essential part of the creative design process. In the second year, students combined SD with traditional tools such as Photoshop, Rhino, Revit, and SketchUp, resulting in improved control over generative outputs and a stronger grasp of architectural workflows. The increased availability of SD through platforms like ComfyUI and Stability Matrix lowered technical barriers and encouraged active engagement with AI tools. Although this study focuses on a single AI model, the findings offer evidence that AI can enhance creative thinking and function as a cognitive aid in design education. These results point to the importance of developing structured teaching methods and demonstrate the potential of AI to support curriculum innovation in creative architectural learning. |