Creativity using generative AI vs. physical modeling: a case study of architecture workshops in a SfHEI

Purpose: This paper reports on an ongoing study examining the implementation of image-based generative AI in higher education to study the impacts and changes to learning behaviors and academic performance of architecture undergraduate students. The findings will be part of a methodological framework to evaluate whether or not AI is a high-value digital tool in this context. Approach: The study is designed through a series of workshops with architecture students, which aim to identify the role of image-based AI in the architecture design process for undergraduate students in Sino-foreign higher education institutions in order to assess the potential of using AI in the future architecture industry, especially for junior architects. Findings: The preliminary findings of this ongoing study indicate that AI increases the creativity of architecture design concepts, especially via better visual presentation for junior students. However, AI does not seem to be able to comprehend basic architecture design principles when it is implemented. Originality/value: The outcomes of this study will aid the larger teaching community when adopting AI in their teaching while mitigating the potential negative impacts on the students' learning experiences.