Learn how to collaboratively collect, process, visualize, and reflect on your physical movement data
A learning environment made possible by the Kendeda Living Building Challenge at Georgia Tech & the National Science Foundation
Re-Shape is a learning environment that introduces people to basic data science principles in ways that can be used in a variety of educational settings. Learners are introduced to different tools and learn how to 1) collect their own personal movement data typically over a day or a week, 2) process their data, 3) visualize their data through new digital mapping technologies, and 4) critically reflect on their data. These 4 steps are described in detail below through instructional videos and links to download or use necessary tools. Also included below are two examples of Re-Shape being used in social studies and computer science classrooms as well as additional links and resources that extend this work.
Example 1: Social Studies
This example shows a group of 23 undergraduate and graduate pre-service social studies teachers and students using Re-Shape to talk about race and diversity inside their “university bubble” and to learn about how the design of physical space in their city shapes their daily lives.
Example 2: Computer Science
This example shows a group of 40 computer science students using Re-Shape to critically discuss and reflect on the ethical implications of data science…..
Follow these 4 steps:
STEP 1: COLLECT PERSONAL DATA
STEP 2: DATA PROCESSING
STEP 3: DATA VISUALIZATION
Interaction Geography Slicer
STEP 4: REFLECTION