
Artificial intelligence is widely used as an interactive technology in various professional disciplines. The widespread use of these technologies, which we benefit from in most areas of our lives, in the education sector will provide important developments in the field of education. The main purpose of this study is to analyze the existing studies in which the use of artificial intelligence helps in architectural design processes. In the study, identification, screening, eligibility, inclusion, and data analysis processes were carried out in three search engines such as Web of Science, ScienceDirect, and ULAKBIM. While reporting the research, ‘Systematic Literature Review’ and ‘Preferred Reporting Items for Meta-Analysis’ protocols were followed and a total of 35 relevant articles were identified. In the research, three popular Artificial Intelligence applications used in architectural design processes were identified as Generative Adversarial Networks (GAN), Machine Learning, and Data Mining. In addition, Systematic Literature Review (SLR) outputs show that most researchers are supported by artificial intelligence applications in architectural design processes. As a result of the research, it was determined that artificial intelligence is widely used in architectural design processes, however, it has positive effects in 3D and animation parts.
Görsel İletişim Tasarımı (Diğer), Visual Communication Design (Other), Computer-Assisted Design, Görsel İletişimde Bilgisayar Destekli Tasarım, Artificial intelligence;Architectural design processes;Landscape architect
Görsel İletişim Tasarımı (Diğer), Visual Communication Design (Other), Computer-Assisted Design, Görsel İletişimde Bilgisayar Destekli Tasarım, Artificial intelligence;Architectural design processes;Landscape architect
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
