Artificial Intelligence in Architectural Education: New Learning and Design Approaches

Abstract

In recent years, artificial intelligence (AI) technologies have been increasingly incorporated into architectural design and education, offering advanced capabilities in data analytics, machine learning, and visual generation. “Such tools could offer architects and planners both theoretical data bases and practical platform to implement proposed strategies” (Nafa & Husain, 2021). AI-powered tools enable the optimization of design decisions, the provision of personalized solutions based on user needs, and the acceleration of parametric design processes. This study aims to examine the role of AI in architectural education by identifying its benefits and potential limitations. A qualitative research approach based on a comprehensive literature review. It systematically examines how AI tools can be utilized in architectural education to support students in solving design problems, analyzing different scenarios, and developing innovative solutions. Various AI applications are categorized according to their usage in design education, and their effectiveness is assessed through comparative analysis. The findings indicate that AI-assisted design processes offer architecture students new creative opportunities, helping them generate optimized solutions and explore diverse design alternatives.