The impact of generative AI on architectural design education: insights from hands-on experience with architecture students

The integration of Generative Artificial Intelligence (GenAI) into architectural education has been increasingly explored for its potential influence on the design process. However, empirical evidence on its applications remains limited. This study aims to evaluate the impact of GenAI on students’ performance in a supervised project conducted at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. The study assessed the outcomes focusing on creativity, time efficiency, and design quality. The findings indicated that the test group demonstrated generally better performance than the control group, especially in design form and aesthetics, where an improvement of 14% was observed. The study also interviewed experts in the field and discussed their similar experiences and recommendations in this regard. The study proposed a framework outlining the recommended levels of GenAI integration across the different design stages to help students and educators utilize GenAI tools while ensuring sufficient critical engagement.

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Publication Details

Journal
Ain Shams Engineering Journal
Published
2025-11-20
DOI
https://doi.org/10.1016/j.asej.2025.103879
Citations
3
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
28.47
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article

The impact of generative AI on architectural design education: insights from hands-on experience with architecture students

Omar S. Asfour, Rawan Alamasi, Riyad Ashmeel
3 citations
Ain Shams Engineering Journal
Architecture and Computational Design
28.47
article

The impact of generative AI on architectural design education: insights from hands-on experience with architecture students

Omar S. Asfour, Rawan Alamasi, Riyad Ashmeel
article en
3 citations

Abstract

The integration of Generative Artificial Intelligence (GenAI) into architectural education has been increasingly explored for its potential influence on the design process. However, empirical evidence on its applications remains limited. This study aims to evaluate the impact of GenAI on students’ performance in a supervised project conducted at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. The study assessed the outcomes focusing on creativity, time efficiency, and design quality. The findings indicated that the test group demonstrated generally better performance than the control group, especially in design form and aesthetics, where an improvement of 14% was observed. The study also interviewed experts in the field and discussed their similar experiences and recommendations in this regard. The study proposed a framework outlining the recommended levels of GenAI integration across the different design stages to help students and educators utilize GenAI tools while ensuring sufficient critical engagement.

Ain Shams Engineering JournalVol. 17(1)
King Fahd University of Petroleum and Minerals (SA)
Openalex Percentile: Top 1%
Architecture and Computational Design
28.47
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The impact of generative AI on architectural design education: insights from hands-on experience with architecture students — Omar S. Asfour, Rawan Alamasi, et al. · Ain Shams Engineering Journal (2025) | TGRS Research Map | TGRS