Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v8i7.5602
Abstract
Against the backdrop of urban-rural built-stock regeneration and digital transformation, traditional Principles of Urban Planning teaching suffers from theory-practice separation, inadequate engineering training, lagging digital tools and simplistic evaluation. Taking the intelligent construction competition and the wooden house renovation project at Fujian Agriculture and Forestry University as a case, this paper integrates 3D scanning, point cloud modeling, BIM reverse modeling, performance simulation and digital twin into teaching, creating a workflow consisting of project introduction, data acquisition, model construction, problem diagnosis, scheme design, competition defense. It transforms spatial cognition, adaptive renewal, low-carbon decision-making and planning implementation into practical tasks, forming a competition-driven, project-centered, intelligence-assisted, performance-oriented teaching mode. Practice shows it shifts students from rote memorization to problem analysis and from single-scale to multi-scale thinking, improving their digital- modeling, teamwork, decision-making and presentation skills. This approach provides insights for interdisciplinary talent training for urban-rural planning.
Keywords
urban planning; intelligent construction; artificial intelligence; renovation; digital twin
Funding
Fujian Agriculture and Forestry University 2026 AI‑Empowered Teaching Project (No.11426ZK036); Fujian Sci‑Tech Dept Guidance Project (2025Y0037); Fujian Vocational Education Research Project (No.ZJGB2024009
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[5] Li F. Practice of the "three-stage" progressive teaching mode in "Principles of Urban and Rural Planning" course-based on the cultivation of undergraduates' "scientific doubt" thinking[J]. China Forestry Education, 2024, 42(3): 45-51.
Copyright © 2026 Zhihui SHEN, Xuanyi CHEN, Shuchang LIU, Longbo JIANG, Daopu JIANG
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
