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성과공개
성과공개
상세 정보
상세 정보
논문
건축 설계 교육에서 생성형 AI 도입에 관한 고찰 - Stable Diffusion을 활용한 건축 설계 실습 강의 분석을 중심으로 -
연도
5차
분류
구성기술1
연구기관
경북대학교
Kyungpook National Uinversity
Kyungpook National Uinversity
구분2
일반학술지
논문명
건축 설계 교육에서 생성형 AI 도입에 관한 고찰 - Stable Diffusion을 활용한 건축 설계 실습 강의 분석을 중심으로 -
Consideration on Adopting Generative AI in Architectural Design Education- Focusing on the analysis of practical courses in architecture utilizing Stable Diffusion -
Consideration on Adopting Generative AI in Architectural Design Education- Focusing on the analysis of practical courses in architecture utilizing Stable Diffusion -
학술지명
대한건축학회논문집
ISSN
2733-6239
학술지 볼륨번호
41(9)
게재일
2025.09
논문페이지
주저자명
추승연
Choo, Seungyeon
Choo, Seungyeon
교신저자명
홍순민
Hong, Soon Min
Hong, Soon Min
공동저자명
박정민
Park, Jungmin
Park, Jungmin
논문 초록
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.
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.