Blending Generative AI and Traditional Pedagogy in Architecture and Engineering Education

Artificial intelligence (AI) in general, and generative AI in particular, have already shown great potential as a transformative force across many disciplines, from medicine to education. In architecture and engineering education, generative AI may be viewed as an enabling method ology to provide students with enhanced learning, creativity, and problem-solving opportunities. This paper reviews how combining generative AI with traditional pedagogical methods could enhance innovation and educational outcomes. This study will analyze current applications, challenges and strategies for integrating generative AI into architecture and engineering curricula to show the benefits of this synergy while discussing the barriers to adoption. The findings emphasize adaptive teaching methods, ethical considerations, and upskilling to fully leverage the power of generative AI in reshaping education.

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Publication Details

Published
2025-04-13
DOI
https://doi.org/10.1109/wids-psu64963.2025.00028
Citations
1
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
9.49

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article

Blending Generative AI and Traditional Pedagogy in Architecture and Engineering Education

Amal Abdelsattar, Eman Abowardah, Wafa Labib, Marwa Abdelalim
1 citations
Architecture and Computational Design
9.49
article

Blending Generative AI and Traditional Pedagogy in Architecture and Engineering Education

Amal Abdelsattar, Eman Abowardah, Wafa Labib, Marwa Abdelalim
article en
1 citations

Abstract

Artificial intelligence (AI) in general, and generative AI in particular, have already shown great potential as a transformative force across many disciplines, from medicine to education. In architecture and engineering education, generative AI may be viewed as an enabling method ology to provide students with enhanced learning, creativity, and problem-solving opportunities. This paper reviews how combining generative AI with traditional pedagogical methods could enhance innovation and educational outcomes. This study will analyze current applications, challenges and strategies for integrating generative AI into architecture and engineering curricula to show the benefits of this synergy while discussing the barriers to adoption. The findings emphasize adaptive teaching methods, ethical considerations, and upskilling to fully leverage the power of generative AI in reshaping education.

Prince Sultan University (SA)
Prince Sultan University
Openalex Percentile: Top 4%
Architecture and Computational Design
9.49
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Blending Generative AI and Traditional Pedagogy in Architecture and Engineering Education — Amal Abdelsattar, Eman Abowardah, et al. · (2025) | TGRS Research Map | TGRS