“CoRE” stands for Computing, Reasoning, and Expression.
We explore how computing practices (e.g., programming, data analysis and visualization, computer simulation, GIS mapping) are changing the ways that young people learn and communicate about our world.
Check out our current projects:
- Rivulet : Python notebook API utilities to curate & fetch pedagogically generative data
- Show your Work : An intro to computational notebooks for K-12 teachers
Some resources for educators and researchers include:
- DSE-citan : A citation analysis of "Data Science Education" literature
- For more information, see Mapping the Conceptual Landscape(s) of Data Science Education in Harvard Data Science Review).
- How to Choosy : Tools and strategies to wrangle "Goldilocks" datasets
- For more information, see How to be Choosy: Wrangling Big Datasets for the Classroom in Teaching Statistics.
To learn more, visit us at corelab.berkeley.edu.
