Using Traffic Stops to Engage Preservice Teachers in Thinking About Systemic Racism

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Anthony Fernandes University of North Carolina Charlotte

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Ksenija Simic-Muller Pacific Lutheran University

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Travis Weiland University of North Carolina Charlotte

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Racism impacts the lives of students who identify as Black, Indigenous, or People of Color (BIPOC) in a myriad of ways. It is important that future teachers go beyond individual acts of racism to understand how racism operates as a system. To this end, we designed and implemented a statistical investigation with 13 preservice teachers using real traffic stop data from a local city. We were interested in how preservice teachers explained the role of racism in the policing of traffic stops. Drawing on a framing of systemic racism as an intertwining of individual, cultural, and institutional factors, we found that most of the preservice teachers made connections between the results of their statistical investigations and broader institutional factors that affect policing. Statistical investigations using large datasets that highlight disparities based on race provide affordances for preservice teachers to start thinking about systemic racism. Further, the investigations can normalize challenging conversations around race and racism in mathematics and statistics content courses.

Contributor Notes

Anthony Fernandes, Department of Mathematics and Statistics, University of North Carolina, Charlotte, NC 28223; anthony.fernandes@charlotte.edu https://orcid.org/0000-0002-1113-523X

Ksenija Simic-Muller, Department of Mathematics, Pacific Lutheran University, Tacoma, WA 98447; simicmka@plu.edu https://orcid.org/0000-0002-0123-5050

Travis Weiland, Department of Mathematics and Statistics, University of North Carolina, Charlotte, NC 28223; tweilan1@charlotte.eduhttps://orcid.org/0000-0002-5901-5683

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