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

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.

Publication Details

Journal
Frontiers in Educational Research
Published
2025-01-01
DOI
https://doi.org/10.25236/fer.2025.080719
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00
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article

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
Regional Development and Environment
article

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

article en

Abstract

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.

Frontiers in Educational ResearchVol. 8(7)
Openalex Percentile: Top 67%
Regional Development and Environment
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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) | TGRS Research Map | TGRS