“时空融合+知行耦合”的城乡规划社会调研教学理论研究

Exploration and Practice of Social Investigation Teaching Theories for Urban & Rural Planning from the Perspective of “Time-space Convergence + Knowledge-practice Integration”

大数据为城乡规划社会调研提供了新的技术方法,提升了社会调研的动态性、高效性、精度、广度与可视性。文章结合社会调研中"调研选题—数据获取—数据分析—结论策略—成果编制"5个阶段的特点,建构基于大数据的"时空融合+知行耦合"教学框架,解析城乡规划社会调研方法的技术框架,探索社会调研过程中应具备的各类技术的培养途径。文章强调"时空融合"理念下的"多源数据获取、可视化成果表达"的技能培养,以及"知行耦合"理念下的"热点问题萃取、数据分析推演、多情景优化"的思维训练,尝试创新社会调研方法的教学模式,为城乡规划社会调研课程的创新提供理论支撑与技术支持。

Big data has provided social investigations on urban and rural planning with new technologies and methods, which enhances the dynamic nature, efficiency, accuracy, breadth, and visibility of social investigations. In this thesis, a teaching framework of 'time-space convergence + knowledge-practice integration' based on big data was established according to the characteristics of five stages in urban and rural social investigations: investigation & topic selection, data acquisition, data analysis, conclusion & strategy, and outcome compilation. Then the technical framework of social investigation methods for urban and rural planning was analyzed and the cultivation approaches of technologies required by social investigations were explored. The cultivation of skills of 'multi-source data acquisition and visualized outcome expression' in the context of time-space convergence and the thinking training of 'hot issue extraction, data analysis & deduction and multi-scene optimization' in the context of knowledge-practice integration were emphasized. Then the teaching mode of social investigation methods was innovated, offering powerful theoretical and technical support to the innovation of social investigation courses.