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.
Authors
- Amal Abdelsattar (ORCID: https://orcid.org/0000-0002-1217-6703)
- Eman Abowardah (ORCID: https://orcid.org/0000-0003-3067-7592)
- Wafa Labib (ORCID: https://orcid.org/0000-0001-5970-9493)
- Marwa Abdelalim (ORCID: https://orcid.org/0000-0001-5846-2003)
Institutions
- Prince Sultan University (SA)
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
Funders
- Prince Sultan University