摘要
数字化与人工智能的迅猛发展深刻改变了城市的运行逻辑与规划设计范式。传统城市设计课程面临知识更新滞后、技能匹配脱节、教学方法单一等核心挑战。本研究聚焦城市设计课程的教学转型,提出融合数据驱动思维、人工智能工具深度介入与以问题为导向的“DT-AI-PBL”教学理论框架,重构课程目标、内容与模式。通过构建“环境感知—数据解析—方案推演—交互评价—协同优化”的核心环节,深度整合人工智能辅助场景感知、空间预测、方案生成与优化评估等核心任务,依托模块化、递进式项目教学,培养学生识别问题、整合多元目标、优化解决方案的智能化设计能力。
The rapid development of digital technologies and artificial intelligence has profoundly transformed the operational logic of cities and the paradigms of urban planning and design.Traditional urban design courses face core challenges such as outdated knowledge content,a disconnect between skills training and industry demands,and overly singular teaching methods.This study focuses on the pedagogical transformation of urban design education,proposing a"DT-AI-PBL"theoretical framework that integrates data-driven thinking,deep incorporation of AI tools,and problem-based learning.This framework restructures course objectives,content,and instructional models.By constructing core stages of"environmental perception–data analysis–solution simulation–interactive evaluation–collaborative optimisation",the model deeply integrates AI-assisted tasks such as scene perception,spatial prediction,solution generation,and optimisation evaluation.Leveraging modular and progressive project-based teaching,the approach aims to cultivate students'intelligent design capabilities,including problem identification,multi-objective integration,and optimised solution development.
作者
宣蔚
宋敏
田骏丹
韦真卓
夏菁
XUAN Wei;SONG Min;TIAN Jundan;WEI Zhenzhuo;XIA Jing(Southeast University;College of Architecture and Art,Hefei University of Technology;Anhui Provincial Engineering Research Center for Urban Form and Spatial Environment Renewal Technologies;Undergraduate Student,Hefei University of Technology)
出处
《世界建筑》
2025年第8期100-104,共5页
World Architecture
基金
国家自然科学基金,项目批准号:52008143,52478050
安徽省社科规划项目,项目编号:AHSKY2024D011。
关键词
数字化
人工智能
城市设计
教学模式
数据驱动
digitalisation
artificial intelligence
urban design
teaching model
data-driven
