Embracing Artificial Intelligence (AI) in Architectural Education: A Step towards Sustainable Practice?

Author:

Komatina Dragan1ORCID,Miletić Mirjana2ORCID,Mosurović Ružičić Marija3ORCID

Affiliation:

1. Department of Architecture, Faculty of Architecture, University of Montenegro, Karađorđeva 5, 81000 Podgorica, Montenegro

2. Department of Architecture, Faculty of Technical Sciences, University of Priština in Kosovska Mitrovica, Knjaza Miloša 7, 38220 Kosovska Mitrovica, Serbia

3. Institute of Economic Sciences, Zmaj Jovina 12, 11000 Belgrade, Serbia

Abstract

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.

Funder

Ministry of Science, Technological Development and Innovation of the Republic of Serbia

Faculty of Technical Sciences in Kosovska Mitrovica, University of Pristina

University of Montenegro

Publisher

MDPI AG

Reference69 articles.

1. Europen Union (2024, July 25). Regulation (EU) 2024/1689 of European the Parliament and of the Council of 13 June 2024. Available online: https://eur-lex.europa.eu/eli/reg/2024/1689/oj.

2. (2024, May 26). Intersections between the Academy and Practice, Papers from the 2017 AIA/ACSA Intersections Symposium—Association of Collegiate Schools of Architecture. Available online: https://www.acsa-arch.org/proceeding/intersections-between-the-academy-and-practice-papers-from-the-2017-aia-acsa-intersections-symposium/.

3. A Behavioral Simulation Model for Metropolitan Policy Analysis and Planning: Residential Location and Housing Market Components of Urbansim;Waddell;Environ. Plan. B Plan. Des.,2000

4. The Benefits and Challenges of ChatGPT: An Overview;Deng;Front. Comput. Intell. Syst.,2022

5. Li, J., Cao, H., Lin, L., Hou, Y., Zhu, R., and El Ali, A. (2024, January 11–16). User Experience Design Professionals’ Perceptions of Generative Artificial Intelligence. Proceedings of the CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA.

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