Data Investigations to Further Social Justice Inside and Outside of STEM

This article focuses on discussion and preliminary findings from classroom testing of the prototype learning module: Investigating Income Inequality in the U.S. In this module, students examine patterns of income inequality using person-level microdata from the American Community Survey (ACS) and the U.S. decennial census. They are guided by lessons in which they work through the four steps of the data investigation cycle (Ask Questions, Assemble Data, Analyze Data, and Summarize Conclusions) to analyze data with the Common Online Data Analysis Platform (CODAP) and complete activities designed to strengthen conceptual understandings of core statistical concepts.

Louie, J., Stiles, J., Fagan, E., Roy, S., & Chance B. (2021). Data investigations to further social justice inside and outside of STEM. Connected Science Learning, (3)1.

Author: Josephine Louie, Jennifer Stiles, Emily Fagan, Soma Roy, and Beth Chance
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