Integrating Generative AI in Architectural Education: A Comparative Study of Traditional, Stock LLMs, and Custom Tools

Abdelrahman Aly, Abdelsamie Elazazy, Nada Sharaf

2025

Abstract

The rapid development of generative artificial intelligence (AI) is transforming architectural education by reshaping creativity, technical skills, and problem-solving approaches. This paper presents a comparative analysis of traditional methods, general-purpose AI tools like ChatGPT and Midjourney, and a custom-built Architecture AI Tool (ArchAI) tailored to the needs of architectural education. The study highlights the strengths and limitations of each approach, focusing on their impact on creativity, efficiency, and educational outcomes. The findings reveal that while general-purpose AI tools enhance accessibility and ideation, their domain-specific applications are limited. In contrast, custom AI solutions, integrated with architectural principles and tailored datasets, offer significant advantages by automating design tasks, providing real-time feedback, and fostering innovative learning experiences. This work underscores the need for a balanced integration of generative AI to optimize learning outcomes and prepare students for professional practice.

Paper Citation

in Harvard Style

Aly A., Elazazy A. and Sharaf N. (2025). Integrating Generative AI in Architectural Education: A Comparative Study of Traditional, Stock LLMs, and Custom Tools. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-728-3, SciTePress, pages 415-420. DOI: 10.5220/0013378000003912

in Bibtex Style

@conference{grapp25,
author={Abdelrahman Aly and Abdelsamie Elazazy and Nada Sharaf},
title={Integrating Generative AI in Architectural Education: A Comparative Study of Traditional, Stock LLMs, and Custom Tools},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2025},
pages={415-420},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013378000003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - Integrating Generative AI in Architectural Education: A Comparative Study of Traditional, Stock LLMs, and Custom Tools
SN - 978-989-758-728-3
AU - Aly A.
AU - Elazazy A.
AU - Sharaf N.
PY - 2025
SP - 415
EP - 420
DO - 10.5220/0013378000003912
PB - SciTePress