Author
Listed:
- Wafa Labib
(Architecture Department, Prince Sultan University, Riyadh 11586, Saudi Arabia)
- Amal Abdelsattar
(Architecture Department, Prince Sultan University, Riyadh 11586, Saudi Arabia)
- Eman Abowardah
(Architecture Department, Prince Sultan University, Riyadh 11586, Saudi Arabia)
- Marwa Abdelalim
(Architecture Department, Prince Sultan University, Riyadh 11586, Saudi Arabia)
- Hatem Mahmoud
(Sustainable Architecture Program, Egypt Japan University of Science and Technology, Alexandria 21934, Egypt)
Abstract
Architecture students have a limited understanding of technology’s pedagogical benefits, which creates a gap between the potential of technology-enhanced learning and its actual implementation. A promising solution to this underlying problem would be the integration of GAI in architecture education. The purpose of this study is to explore the role of GAI in architecture education from students’ perspectives. A self-developed questionnaire was employed to collect data from 239 architecture students from three universities in Saudi Arabia and Egypt. Frequency distribution and structural equation modeling (SEM) were employed for data analysis. The study found a low level of awareness and moderate level of perception toward GAI. Integrating GAI into architecture education through knowledge and ethical awareness enhances students’ general skills competency and architecture and design expertise. Students who perceive GAI as beneficial enhance their general skills competency, while those who perceive GAI as challenging undermine their architecture and design expertise. The study also reported that students who intend to integrate GAI in architecture education have high ethical awareness toward GAI and possess a positive perception about GAI while inclining toward its benefits. Students should gain a better understanding of GAI tools and the ways to use them in architecture education in order to improve their general and field-specific skills proficiency. Educators must work with students to enhance their knowledge about GAI and the perception of its benefits and challenges, so that a focused skills development can transform students’ basic competencies to advanced architecture and design expertise.
Suggested Citation
Wafa Labib & Amal Abdelsattar & Eman Abowardah & Marwa Abdelalim & Hatem Mahmoud, 2025.
"The Role of Generative AI in Architecture Education from Students’ Perspectives—A Cross-Sectional Descriptive and Correlational Study,"
Sustainability, MDPI, vol. 17(22), pages 1-36, November.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:22:p:10029-:d:1791332
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:22:p:10029-:d:1791332. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.