Integrating ChatGPT into the Esquisse Task During Architectural Learning Studios at the University

Authors

Megat Faridrullah bin Zolkefli

Architecture Program, Faculty of Built Environment, Universiti Teknologi MARA Cawangan Sarawak, Kampus Samarahan (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2025.922ILEIID0020

Subject Category: Education

Volume/Issue: 9/22 | Page No: 207-212

Publication Timeline

Submitted: 2025-09-22

Accepted: 2025-09-30

Published: 2025-10-22

Abstract

The esquisse, a quick design ideation exercise that tests students' ability to conceptualise, sketch, and communicate design concepts in a short amount of time, is a key component of architectural education. Although it is good at encouraging creativity and agility, many students struggle to come up with ideas, articulate them, and get beyond creative obstacles, especially in the early years of study. This study investigates how Universiti Teknologi MARA (UiTM) Sarawak's esquisse phase of studio learning incorporates ChatGPT, a conversational artificial intelligence application. The goals are to evaluate how ChatGPT contributes to better conceptual growth, a wider range of design concepts, and increased student self-assurance and communication abilities. Instead of using AI as a tool for post-design analysis, the innovation is in presenting it as an active ideation partner throughout the live design process. Students were able to improve their narrative clarity, broaden their conceptual vocabulary, and get ideas for different solutions by having reflective conversations with ChatGPT. Results show that design outcomes are more diverse, that ideation anxiety is lower, and that critique engagement is higher. By encouraging more inclusive and flexible learning environments and giving aspiring architects the tools they need to be creative and digitally literate, the study benefits society. The strategy might develop into an AI-enhanced studio platform or Learning Management System (LMS) plugin specifically for the architecture and design education markets from a commercialisation standpoint. This places the work at the nexus of innovative education, AI technology, and creative pedagogy.

Keywords

ChatGPT, architectural education, esquisse, artificial intelligence, studio pedagogy

Downloads

References

1. Akin, Ö. (2010). Variants in design cognition. In J. S. Gero (Ed.), Design computing and cognition ’08 (pp. 105–124). Springer. https://doi.org/10.1007/978-1-4020-8728-8_6 [Google Scholar] [Crossref]

2. Anthony, K. H. (1991). Design juries on trial: The renaissance of the design studio. Van Nostrand Reinhold. [Google Scholar] [Crossref]

3. Goldschmidt, G. (2014). Linkography: Unfolding the design process. MIT Press. [Google Scholar] [Crossref]

4. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... s & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274 [Google Scholar] [Crossref]

5. Lawson, B. (2004). What designers know. Architectural Press. [Google Scholar] [Crossref]

6. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson. [Google Scholar] [Crossref]

7. Oxman, R. (2017). Thinking difference: Theories and models of parametric design thinking. Design Studies, 52, 4–39. https://doi.org/10.1016/j.destud.2017.06.001 [Google Scholar] [Crossref]

8. Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles