Data Investigations to Further Social Justice Inside and Outside of STEM

Abstract

Explore data science learning modules that promote students’ interests and practices in statistics and large-scale data analysis using social justice topics that relate to Black and Latinx students’ lives both inside and outside of school.

Keywords:

• High School
• Equity
• Inclusion
• Multicultural
• STEM

Supplemental Material

Acknowledgment

This study is supported by the National Science Foundation, grant No. 1813956. Any opinions, findings, and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Author contributions

Josephine Louie ([email protected]) is a senior research scientist at the Education Development Center in Waltham, Massachusetts.

Jennifer Stiles is a research associate at the Education Development Center in Waltham, Massachusetts.

Emily Fagan is a senior curriculum design associate at the Education Development Center in Waltham, Massachusetts.

Soma Roy is an professor of statistics at California Polytechnic State University in San Luis Obispo, California.

Beth Chance is a professor of statistics at California Polytechnic State University in San Luis Obispo, California.

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Additional information

Notes on contributors

Josephine Louie

Josephine Louie ([email protected]) is a senior research scientist at the Education Development Center in Waltham, Massachusetts.

Jennifer Stiles

Jennifer Stiles is a research associate at the Education Development Center in Waltham, Massachusetts.

Emily Fagan

Emily Fagan is a senior curriculum design associate at the Education Development Center in Waltham, Massachusetts.

Soma Roy

Soma Roy is an professor of statistics at California Polytechnic State University in San Luis Obispo, California.

Beth Chance

Beth Chance is a professor of statistics at California Polytechnic State University in San Luis Obispo, California.