AI-Driven Innovation in Design Education: Experiences from Korean Universities and Implications for Environmental Design Education in China

LI Yingnan, ZHOU Menglin, WANG Yuedong, Stephen R. Drown, DING Lu

High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (5) : 46.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (5) : 46.

AI-Driven Innovation in Design Education: Experiences from Korean Universities and Implications for Environmental Design Education in China

  • LI Yingnan1,ZHOU Menglin1,WANG Yuedong2,Stephen R. Drown1,DING Lu1,3
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Abstract

The rapid development of generative artificial intelligence (AI) is driving profound changes in design education systems worldwide. This study focuses on recent practices of integrating AI technologies into environmental design programs at South Korean universities and systematically examines innovative approaches in curriculum structure, teaching methods, and industry–university collaboration. Through the analysis of representative cases, including Seoul National University and Hongik University, the study summarizes key characteristics of Korean design education, such as interdisciplinary integration, project-based learning, and digital tool integration. Furthermore, in response to existing challenges in undergraduate environmental design education in China—including outdated curricula, insufficient practical training, and limited teaching capacity—this study proposes several reform strategies for the AI era. These include optimizing curriculum structures, strengthening practice-oriented teaching, promoting interdisciplinary collaboration, and improving students’ digital literacy. Finally, the study explores the potential value of AI technologies in curriculum transformation, emphasizing their important role in enabling personalized learning, enhancing practical teaching effectiveness, and fostering collaborative innovation. This research aims to provide international perspectives and practical pathways for the intelligent transformation of environmental design education in China.

Key words

artificial intelligence / environmental design education / curriculum reform / teaching mode / interdisciplinary integration

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LI Yingnan, ZHOU Menglin, WANG Yuedong, Stephen R. Drown, DING Lu. AI-Driven Innovation in Design Education: Experiences from Korean Universities and Implications for Environmental Design Education in China[J]. High-Technology and Commercialization. 2026, 32(5): 46

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