Abstract:

This article delves into the systematic integration of artificial intelligence (AI) in design education for the field of architecture. Through a comprehensive review, it explores the evolving role of AI technologies in reshaping how architectural education is delivered and the impact on learning outcomes.

Key Areas of Exploration:
AI Techniques: The review focuses on how machine learning, deep learning, and generative design can be specifically applied in architectural education.
Impact on Education: By analyzing recent literature and case studies, the article examines how AI-driven tools influence curriculum development, teaching methods, and student engagement.

Challenges and Opportunities:
The article acknowledges the complexities of AI integration, including ethical considerations, faculty training, and infrastructural needs. However, it also identifies exciting opportunities, such as personalized learning experiences, interdisciplinary collaboration, and future directions for leveraging AI in design education.

Contribution and Significance:
This article offers a concise and thorough overview of the transformative potential of AI in architectural education. It provides valuable insights for educators, practitioners, and policymakers seeking to utilize AI-driven innovation to enhance design pedagogy.

Keywords:

Artificial Intelligence (AI), Architectural Education, Transformative Potential, Pedagogical Approaches, Student Learning.