The influence of generative AI with prompt engineering on creative design in architectural education

In architectural education, artificial intelligence (AI) has traditionally been used as a digital design tool, but its role as a pedagogical aid for enhancing creative thinking has been underexplored. This study investigates the integration of generative AI and prompt engineering in a first-year architecture course, focusing on learner-centred activities that link architectural language and forms. A three-phase approach – combinational form generation, exploratory validation, and transformative prompt engineering – was developed based on Boden’s creativity theories. Findings showed variations in students’ prompt engineering skills, especially in form creation and visualisation, and highlighted the role of self-evaluation in enhancing creativity. This research provides a framework for using generative AI to deepen students’ understanding of architectural concepts and improve educational outcomes.

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Institutions

Publication Details

Journal
Journal of Asian Architecture and Building Engineering
Published
2025-08-28
DOI
https://doi.org/10.1080/13467581.2025.2552446
Citations
1
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
0.71

Funders

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article

The influence of generative AI with prompt engineering on creative design in architectural education

Sanghee Lee, S. O. Kang
1 citations
Journal of Asian Architecture and Building Engineering
Design Education and Practice
0.71
article

The influence of generative AI with prompt engineering on creative design in architectural education

Sanghee Lee, S. O. Kang
article en
1 citations

Abstract

In architectural education, artificial intelligence (AI) has traditionally been used as a digital design tool, but its role as a pedagogical aid for enhancing creative thinking has been underexplored. This study investigates the integration of generative AI and prompt engineering in a first-year architecture course, focusing on learner-centred activities that link architectural language and forms. A three-phase approach – combinational form generation, exploratory validation, and transformative prompt engineering – was developed based on Boden’s creativity theories. Findings showed variations in students’ prompt engineering skills, especially in form creation and visualisation, and highlighted the role of self-evaluation in enhancing creativity. This research provides a framework for using generative AI to deepen students’ understanding of architectural concepts and improve educational outcomes.

Journal of Asian Architecture and Building Engineering
Kwangwoon University (KR)
National Research Foundation of Korea
Sustainable cities and communities
Openalex Percentile: Top 28%
Design Education and Practice
0.71
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The influence of generative AI with prompt engineering on creative design in architectural education — Sanghee Lee, S. O. Kang · Journal of Asian Architecture and Building Engineering (2025) | TGRS Research Map | TGRS