Mapping Digital Transformation and AI Technologies in Architectural Education
Abstract
Keywords
Architectural education, artificial intelligence (ai), bibliometric analysis, design tools, digitalization
Ethical Statement
References
- Ali, K. N., Alhajlah, H. H., & Kassem, M. A. (2022). Collaboration and risk in building information modelling (BIM): A systematic literature review. Buildings, 12(5), 571. https://doi.org/10.3390/buildings12050571
- Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
- Aydın, S., & Aktaş, B. (2020). Developing an integrated VR infrastructure in architectural design education. Frontiers in Robotics and AI, 7, Article 495468. https://doi.org/10.3389/frobt.2020.495468
- Bankar, R. S., & Lihitkar, S. R. (2019). Science mapping and visualization tools used for bibliometric and scientometric studies: A comparative study. Journal of Advancements in Library Sciences, 6(1), 382–394. https://doi.org/10.37591/joals.v6i1.1807
- Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S.W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International journal of educational technology in higher education, 21(1), 4. https://doi.org/10.1186/s41239-023-00436-z
- Burry, M. (2016). Scripting cultures: Architectural design and programming. John Wiley & Sons.
- Celani, G. (2012). Digital fabrication laboratories: Pedagogy and implications for architectural education. International Journal of Architectural Computing, 10(3), 357–376. https://doi.org/10.1260/1478-0771.10.3.357
- Cao, Y., Gao, X., Yin, H., Yu, K., & Zhou, D. (2024). Reimagining tradition: A comparative study of artificial intelligence and virtual reality in sustainable architecture education. Sustainability, 16(24), Article 11135. https://doi.org/10.3390/su162411135
- Chadegani, A. A., Salehi, H., Yunus, M. M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Social Science, 9(18), 18–26. https://doi.org/10.5539/ass.v9n5p18
- Chaudhry, A., Çukurova, M., & Luckin, R. (2022). Designing AI for education: Balancing innovation with equity, fairness, and transparency. British Journal of Educational Technology, 53(5), 1051–1068. https://doi.org/10.1111/bjet.13246