Architectural design training based on artificial intelligence

Message:
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

Rapid development of artificial intelligence (AI) technologies and the interest in their application in educational fields lead to significant growth in the scientific literature concerning the application of AI in education. Architectural design is a complex design that uses old experiences and creativity to produce new designs. The artificial intelligence use for the design process should not focus on finding a solution in a defined search space because the design requirements at the conceptual stage are not yet well defined. Instead, the artificial intelligence application should be considered to explore the design requirements and provide solutions to meet those requirements. The present applied study aims to provide an architectural design training model based on artificial intelligence in architecture education to provide an overview of artificial intelligence for the development and further implementation of the country's design education system. The type of this research is applied-developmental, and its method is descriptive-analytical and in terms of data collection surveys. A questionnaire was distributed among all faculty members of Azad University and experts in this field to collect the data required for the study. The collected data was analyzed by the method of content analysis. The results contain solutions to provide a model for architectural design training based on artificial intelligence. This study will acquaint professors and researchers to understand the status and development of financial and physical infrastructure and artificial intelligence hardware and software. Also, it will help increase the effectiveness and efficiency of its usage in architectural education. The findings also help activists, officials, educators, and researchers identify ways to improve designer education.

Language:
Persian
Published:
ArchitecturalTechnologies Journal, Volume:1 Issue: 1, 2021
Pages:
7 to 25
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