AI-Powered Architectural Ideation: From Sketch to Script

Year : 2025 | Volume : 03 | Issue : 01 | Page : 1-6
    By

    M. Dileeban,

  1. Student, Department of Architecture and Design, School of Environment Architecture and Design, SRM Institute of Science and Technology, Chennai, India

Abstract

Artificial Intelligence (AI) is redefining the landscape of architectural education by altering how students conceptualize, design, and execute their projects. As emerging technologies continue to permeate architecture, AI holds a central role in shaping future architectural pedagogy. The integration of AI in architectural studies has introduced new methodologies, facilitating complex design processes, sustainability assessments, and improved efficiency. This abstract explores how AI tools like generative design software, digital twins, and AI-powered simulations are being incorporated into design studios and architectural curricula. AI tools enable students to explore countless design alternatives, optimize materials, and assess energy performance with unparalleled speed and precision. Moreover, AI fosters collaborative environments through platforms that enhance design teamwork and interdisciplinary integration. However, while AI provides unprecedented opportunities for innovation, there is a need to balance its application with the preservation of creativity and human-centered design approaches. The adoption of AI in education should not merely streamline repetitive tasks but also stimulate critical thinking, contextual design, and the understanding of architectural history and theory. As AI becomes ubiquitous, educators must ensure that future architects are not only skilled in AI applications but also capable of interpreting and applying cultural and historical context to their work, ensuring sustainable and meaningful design.

Keywords: AI in architecture, architectural pedagogy, generative design, sustainability, design thinking, AI-assisted education

[This article belongs to International Journal of Architectural Design and Planning ]

How to cite this article:
M. Dileeban. AI-Powered Architectural Ideation: From Sketch to Script. International Journal of Architectural Design and Planning. 2025; 03(01):1-6.
How to cite this URL:
M. Dileeban. AI-Powered Architectural Ideation: From Sketch to Script. International Journal of Architectural Design and Planning. 2025; 03(01):1-6. Available from: https://journals.stmjournals.com/ijadp/article=2025/view=198793


References

  1. Fan Xu, et al. Enhancing Architectural Education through Artificial Intelligence: A Case Study of an AI-Assisted Architectural Programming and Design Course. MDPI Buildings. 2024; 14(6): 1613.
  2. Marija Mosurović Ružičić, et al. Embracing AI in Architectural Education: A Step towards Sustainable Practice? MDPI Buildings. 2024; 14(8): 2578.
  3. Zhuang W. Development and prospects of architectural programming and post-evaluation education. Resid Zone. 2019;3:6–7. [Chinese].
  4. Chaillou S. AI and architecture: An experimental perspective. In: The Routledge Companion to Artificial Intelligence in Architecture. London: Routledge; 2021. p. 420–41.
  5. Kalay YE. Architecture’s new media: Principles, theories, and methods of computer-aided design. Cambridge: MIT Press; 2004.
  6. Oxman R. Digital design thinking: In the new design is the new pedagogy. Des Stud. 2008; 29(2): 199–
  7. Sacks R, et al. The role of BIM in construction management education. Int J Constr Educ Res. 2010; 6(2): 115–
  8. Bell S. Project-based learning for the 21st century: Skills for the future. The Clearing House (TCH). 2010; 83(2): 39–
  9. Zhang Y, et al. AI-assisted design and its impact on architectural education. Autom Constr. 2018; 86: 79–
  10. Huang Z, Jiao J. A study of the effectiveness of AI in design education. Des Stud. 2019; 63:
    147–
  11. Sharma K, et al. The impact of AI on design thinking and creativity. Int J Technol Des Educ. 2020; 30(4): 603–
  12. Obermeyer Z, et al. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019; 366(6464): 447–
  13. Liu C. Ownership and originality in the age of AI: Rethinking intellectual property rights. Journal of Digital Ethics. 2020; 3(2): 1–
  14. Hernandez R, et al. Machine learning in urban planning education. J Urban Technol. 2022; 29(1): 87–
  15. Jones T. Creative ideation and algorithmic design at the AA. Architecture and AI. 2020; 24(1):
    39–
  16. Krygiel E, Nies B. Green BIM: Successful sustainable design with building information modeling. Hoboken: Wiley; 2008.
  17. Bock T, et al. The future of construction: AI and digital technologies. Journal of Automation in Construction. 2019; 104: 1–3.
  18. Zhang Y, et al. Impact of AI on sustainability in architecture. Sustainability. 2020; 12(15): 6232.
  19. Mendler SJ, et al. The landscape of sustainable architecture. New York: Architecture and the Environment; 2012.
  20. Jones P. AI in architecture: Opportunities and challenges. Archit Res Q. 2019; 23(3): 217–227.
  21. Cohen H. AI and computational design at MIT Media Lab. J Des Res. 2021; 19(3): 267–284.
  22. Burry M. The role of AI in architectural education. Architectural Design. 2020; 90(2): 14-20.
  23. Gonzalez M. The future of architectural education: Integrating AI. Archit Rev. 2021; 249(1481): 45–
  24. Tsai M, et al. AI-driven design thinking: Implications for architectural education. International Journal of Architectural Research (IJAR). 2021; 15(1): 32–
  25. Schumacher P, Thompson B. Sustainability and AI in architectural design. Journal of Design Studies. 2020; 68: 1–
  26. Korkmaz S, et al. Emerging technologies in architectural education: AI and beyond. J Constr Eng Manag. 2022; 148(9): 04022083.
Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 25/10/2024
Accepted 12/11/2024
Published 20/01/2025
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