Curriculum Innovation in Environmental Design under the Influence of Artificial Intelligence

Main Article Content

Shuai Yi
Ni Nyoman Padmadewi
Gede Rasben Dantes
I Pute Indra Kusuma

Abstract

With the rapid development of artificial intelligence (AI), the design industry is experiencing profound transformation. Traditional design concepts and methods face challenges, requiring designers not only to demonstrate creativity and aesthetic judgment but also to master data analysis, algorithm design, and machine learning. In this context, curriculum reform in environmental design education has become essential. However, many Chinese universities still lack AI-related content, resulting in graduates with skill gaps and reduced employability. In contrast, leading institutions worldwide, such as Stanford University and Central Saint Martins, have successfully integrated AI into design education, offering courses and interdisciplinary projects that enhance students’ technical abilities, creativity, and adaptability. AI applications in real-world practices, such as MVRDV’s data-driven urban planning, further illustrate the value of AI in fostering innovative and evidence-based design. Incorporating AI into curricula not only improves teaching quality but also promotes interdisciplinary integration, equipping students with stronger problem-solving, teamwork, and practical skills. This reform meets the growing demand for versatile design professionals who can respond flexibly to technological and market changes. In conclusion, embedding AI into environmental design curricula is both a necessary response to industry transformation and an effective strategy for cultivating innovative, high-quality talent capable of thriving in an intelligent and digital era.

Article Details

How to Cite
Yi, S., Padmadewi, N. N., Dantes, G. R., & Kusuma, I. P. I. (2026). Curriculum Innovation in Environmental Design under the Influence of Artificial Intelligence. International Conference on Fundamental and Applied Research (I-CFAR), 2(1), 405–414. https://doi.org/10.36002/icfar.v2i1.5191
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Articles

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