Research on Teaching Model of Generative Artificial Intelligence Empowering Design Thinking in Master of Landscape Architecture Program

DOI: https://doi.org/10.62517/jike.202604211

Author(s)

Qing Xiao, Ruoyu Li, Xuejuan Wang, Xinbin Liang, Lu Ma

Affiliation(s)

College of Architecture, Anhui Science and Technology University, Bengbu, Anhui, China

Abstract

In the wave of digital transformation driven by new-quality productive forces, Generative Artificial Intelligence (GenAI/GAI) is profoundly influencing the design logic and educational paradigm of the landscape architecture discipline. Postgraduate education in landscape architecture has long been confronted with issues such as the disconnection between design thinking cultivation and the application of cutting-edge technologies. Based on an analysis of the competency training objectives for professional master students in landscape architecture and the core characteristics of generative artificial intelligence, this paper conducts teaching practice from three dimensions—teaching objectives, curriculum system, and teaching methods—systematically constructing a"3+3+2"new teaching model, and elaborates on how Generative Artificial Intelligence promotes the transformation of design teaching from skill training to creativity-oriented education. The research results show that this new teaching model effectively improves students' design and creation efficiency, interdisciplinary knowledge integration ability and original innovative thinking, and provides a feasible path and practical reference for the digital and intelligent transformation of landscape architecture postgraduate education in the new era.

Keywords

Generative Artificial Intelligence (GenAI/GAI); Skill-based Tools; Design Thinking; Teaching Models.

References

[1] He S, Wang J R, Lu T, et al. Research on Curriculum Reform and Practice of Mechanical Design Empowered by Artificial Intelligence. Journal of Higher Education, 2026, 12(13):18-21. [2] Wu D, Wang X, Wei X R. Comprehensively Promoting Intellectualization: Historical Orientation, Realistic Prospect and Practical Path—Analysis and Reflections on the Intelligent Content of Opinions of the Ministry of Education and Nine Other Departments on Accelerating the Advancement of Education Digitalization. China Education Info, 2026, 32(02):32-40. [3] Zeng L. Realistic Dilemmas and Solving Paths of High-skilled Talents Training for "AI + Manufacturing" from the Perspective of School-Enterprise Collaboration. Modern Vocational Education, 2026, (13):35-39. [4] Wang J Y, Wang Y Q. Artificial Intelligence Empowering the Cultivation of Top-notch Innovative Talents: Technical Paths, Practical Challenges and Policy Space. Journal of Donghua University (Social Science Edition), 2025, 25(02):106-114. [5] Yang T F, Liu R B. Research on the Path of Constructing a Curriculum System for Talent Cultivation with an International Perspective in Universities in the. Journal of Yunnan Open University, 2023, 25(04):73-79. [6] Xu L, Wang Z M, Meng X P, et al. Workplace Learning: Research on the Training Path of On-site Engineers to Adapt to the Needs of New Qualitctive Forces. China Vocational and Technical Education, 2025, (04):90-99+112. [7] Ali S, Shahnez M, Nawaz A, et al. Comparison of Conventional Survey Techniques with Modern GIS Tools. Construction Technologies and Architecture, 2026, 23135-143. [8] Zhao M, Yang Y, Dong S. Research on Energy-Saving Optimization of Green Buildings Based on BIM and Ecotect.Buildings,2025,15(11):1819-1819. [9] Liang L. The impact of using DeepL Translator on Chinese EFL students’ story writing. Journal of China Computer-Assisted Language Learning, 2024, 5(1):56-93. [10]Chen Y H, Li H S, Chen J K, et al. Construction and Connotation Building of Professional Curriculum System for Cultivating Engineering Practice. Innovation and Entrepreneurship Theory Research and Practice, 2023, 6(15):45-47.