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This study explores the impact of artificial intelligence (AI) on the behavior and knowledge of final-year architectural students in Serbia and Montenegro. It aims to describe how students approach sustainability in architecture and their use of AI tools within this context. The primary objective is to analyze how AI affects students’ understanding of sustainable architecture indicators and how sustainability challenges and concerns influence AI applications. Using a comparative analysis approach across the two countries, this research employs surveys to test various hypotheses regarding the effects of AI on students’ perceptions of sustainability and their use of AI to achieve sustainable outcomes. The findings highlight a significant relationship between students’ knowledge of sustainability and their use of AI, revealing different influencing factors. These insights are essential for predicting future AI usage in architectural practice and provide a theoretical foundation for assumptions about sustainability in architecture. This study’s findings offer valuable guidance for refining curricula at the universities involved, aiming to enhance the integration of AI and sustainability in architectural education.
Komatina et al. (Wed,) studied this question.
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