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Planning Education, Knowledge Dissemination and Technology Teaching
RESEARCH AREA 021

Planning Education, Knowledge Dissemination and Technology Teaching

Research on planning education, knowledge dissemination and technology teaching across 2017-2025.

Research Scope

This research direction brings together 4 outputs published between 2017-2025 on planning education, knowledge dissemination and technology teaching. The collection develops research across planning education, knowledge dissemination, technology teaching, connecting conceptual inquiry, data and analytical methods, empirical evidence, and applications in urban planning and spatial governance.

  • Planning Education
  • Knowledge Dissemination
  • Technology Teaching
  1. 01Conceptual framing
  2. 02Data and method development
  3. 03Multi-scale empirical analysis
  4. 04Planning and policy application
Research Outputs

Publications in Detail

012025
Research Output

新技术赋能城乡规划技术课

龙瀛等

Source document (2025)

Document Overview

This output forms part of the Beijing City Lab research direction on Planning Education, Knowledge Dissemination and Technology Teaching. Download the publication below.

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022019
Research Output

MOOC大数据与城市规划

龙瀛

Source document (2019)

Abstract

在全球化、信息化的“大数据”时代,在线教育与在线学习逐渐成为新型学习方式,为广大学子提供了高校精品课程学习的机会与平台。清华大学发起的“学堂在线”学习平台汇聚了全球优质的教育资源,成为中国课程数量和累计用户数第一的第三方在线教育机构。清华大学建筑学院开设的《大数据与城市规划》课程在连续开设两年后,受到学堂在线支持录制了在线MOOC课。本文主要对MOOC课的准备情况,以及2018年秋如何进行线上线下结合(线上学习MOOC理论方法,线下学习操作和课程研讨)的混合式教学过程进行介绍。

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032019
Book or Textbook

城市规划大数据理论与方法

龙瀛和毛其智

Source document (2019)

Document Overview

This output forms part of the Beijing City Lab research direction on Planning Education, Knowledge Dissemination and Technology Teaching. Download the publication below.

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042017
Research Output

大数据与城市规划

龙瀛和李派

Source document (2017)

Abstract

In the era of Big Data, adapting to the revolution has become an important task of rural and urban planning. To provide our students with a better understanding of the urban development universal rules and forecasting future urban development with applied urban modeling, we offered the first (to the best of our knowledge) course about data science and urban research in our urban planning community in China. This course combines both the recent progresses on big data and their planning applications, as well as the emerging trend and potential revolution of big data in urban planning. The author encourages problem-based learning with the result of academic publication output. At the same time, the author combines a variety of teaching forms to promote the experience of the course. After the first semester of this course, we gained good feedbacks from the students and the community.

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