Projects

Show Your Work! A Gentle Intro to Computational Notebooks for K-12 Teachers

How might experiencing computational data investigation first-hand help educators make more informed decisions about using data and computing in their classrooms?

MoDa
Models + Real World Data Inquiry Science that combines Computational Modeling and Real-World Data

What can students learn by building computer models of scientific systems, and validating them with real-world data from online databases or videos?

Rivulet Python Notebook Utilities to fetch Pedagogically Useful Datasets

How can we help educators find datasets that are local, recent, and relevant, while ensuring that they exhibit key statistical and domain-specific characteristics that are known to be pedagogically generative?

The Data Science Education Fellowship A partnership with the College of Computing, Data Science, and Society (CDSS) and the Social Sciences D-Lab

How do we prepare the next generation of Data Science Education scholars to reach across silos to build coherent, ethical data science trajectories?

Oakland Teachers Advancing Climate Action

Oakland Teachers Advancing Climate Action (OTACA) works with existing collaborations of teachers who are making learning local, active, and relevant for students. The OTACA community designs and tries out student-action projects related to environmental justice.

Writing Data Stories Introducing students to data investigations of scientific systems through data storytelling.

How does allowing students to use everyday experiences alongside computational data analysis affect their interest and reasoning about complex scientific issues?

Computing as Multiliteracies Partnership A partnership with the Participating in Literacies and Computer Science (PiLa-CS) project

What are general approaches and strategies to promote equitable, literacy-based computing education in K-12 classrooms?