Learn how to collaboratively collect, process, visualize, and reflect on your physical movement data

Project led by Ben Rydal Shapiro, Amanda Meng, Edwin Zhao, Charlotte Lou, Cody O’Donnell & Bianca Dankwa

Supported by the Kendeda Living Building Challenge at the Georgia Institute of Technology, Vanderbilt University & the National Science Foundation

Re-Shape is a flexible learning environment that allows teachers to integrate principles of data science and visualization into their curricula to promote student interest and engagement, and to facilitate thinking with data in a variety of disciplines. Learners are introduced to different activities and free/open-source technologies that allow them to: (1) collect their physical movement data, (2) process their data, (3) visualize their data with novel digital mapping technologies, and (4) reflect on their data from a variety of disciplinary perspectives. Each of these four steps is outlined below through instructional videos and links to download or access necessary tools. Also included below are two examples of Re-Shape being used in university social studies and computer science classrooms as well as additional links and resources that extend this work.


Example 1: Social Studies

This example shows 23 undergraduate and graduate pre-service social studies teachers and students using Re-Shape in Nashville, TN to study the geography of their university bubble in ways that support social studies instruction.

Example 2: Computer Science

This example shows 40 computer science students using Re-Shape in Atlanta, GA to study how they interact with data in their daily lives in ways that support ethics instruction in computer science classrooms.

Follow these 4 steps:


Tools: ViewRanger




Example Reflections: Social Studies. Computer Science


Interested in Learning More?

Below is a list of links to some of the people and technologies that inspire this work

Project Publications

Shapiro, B.R. (2017). Using Space Time Visualization in Learning Environment Design. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '17). ACM, Denver, CO, USA.

This work is supported by the National Science Foundation, the Kendeda Living Building Challenge at the Georgia Institute of Technology and Vanderbilt University. It is part of a larger effort to advance a new genre of Learning on the Move.