This paper focuses on the teaching reform of the "design-build" workshop for higher vocational landscape architecture programs. Combining practical project cases such as the Future Garden of the Shenzhen Bougainvillea Flower Show, it explores the application paths of artificial intelligence (AI) technology in design scheme generation, full-process optimization of construction, and innovation in teaching models. By analyzing questionnaire data, it reveals the teaching effectiveness and existing pain points of traditional design-build workshops, and proposes a teaching and research system integrating "AI + design-build". The aim is to improve students' intelligent design capabilities, interdisciplinary collaboration skills, and project implementation efficiency, providing a new paradigm for cultivating high-level technical talents in landscape architecture.

Ye Xue, Xu Dexiu. Research on the Teaching Practice Path of Landscape Design-Build Workshop under Artificial Intelligence: A Case Study of Future Garden in Shenzhen Bougainvillea Flower Show. Frontiers in Educational Research (2025), Vol. 8, Issue 7: 133-138. https://doi.org/10.25236/FER.2025.080719.

[1] Chen J., Meng G., Yan H.. Integration of Technology and Design: A Ten-Year Review of Teaching Reform by the Construction Technology and Design Team of Tongji University (2010—2020)[J]. Time + Architecture, 2020,(03):45-49.

[2] CHEN R, LUO X M, HE Y H, ZHAO J. Research on the Adaptability of Generative Algorithm in Generative Landscape Design[J]. Landscape Architecture, 2024, 31(9): 12-23.

[3] ZHONG Y, LIU Y X, YE Y. Measurement of the Public Activity Richness of Urban Park Based on Large Language Models and Social Media Data: A Case Study of Shanghai[J]. Landscape Architecture, 2024, 31(9): 34-41.

[4] FENG L, YU C W, SUN Y T, ZHAO J. Generative Design of Plantscape Based on Generative Adversarial Network: A Case Study of the Generation of Flower Border Plan[J]. Landscape Architecture, 2024, 31(9): 59-68.