Data investigation process for teaching statistics for social justice
DOI:
https://doi.org/10.52041/iase24.402Abstract
This paper delves into the integration of teaching mathematics for social justice principles and a data investigation process framework within a statistics investigation utilizing a dataset that documents police-involved deaths. It outlines the development of the statistics investigation, showcasing the application of statistical techniques to real-world data. Furthermore, it introduces the Social Justice Data Investigation Process framework, illustrating the interplay between teaching mathematics for social justice, and the data investigation process. This framework elucidates how these components interact to foster critical inquiry and promote a sense of social agency through statistical analysis, offering valuable insights into the integration of social justice principles into data-driven inquiry. Preliminary insights from high school and college students who participated in this data investigation are also shared.References
Bargagliotti, A., Johnson, S., Franklin, C., Perez, L., Arnold, P.,, Spangler, D.A. & Gould, R. (2020). Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II). American Statistical Association. https://www.amstat.org/asa/files/pdfs/GAISE/GAISEIIPreK- 12_Full.pdf
Berry, R. Q., Conway, B.M., Lawler, B.R., & Staley, J. W. (2020). High school mathematics lessons to explore, understand, and respond to social injustice. Corwin Press.
Buell, C. A., & Shulman, B. (2019). An introduction to mathematics for social justice. PRIMUS, 29(3- 4), 205-209. https://doi.org/10.1080/10511970.2018.1530707
Dogucu, M., Johnson, A. A., & Ott, M. (2023). Framework for accessible and inclusive teaching materials for statistics and data science courses. Journal of Statistics and Data Science Education, 31(2), 144-150. https://doi.org/10.1080/26939169.2023.2165988
Gutstein, E. (2006). Reading and writing the world with mathematics: Toward a pedagogy for social justice. Routledge.
Hill, E., Tiefenthäler, A., Triebert, C., Jordan, D., Willis, H., & Stein, R. (2020, May 31). How George Floyd was Killed in Police Custody. The New York Times. https://www.nytimes.com/2020/05/31/us/george-floyd-investigation.html
Ladson-Billings, G. (1995). But that’s just good teaching! The case for culturally relevant pedagogy. Theory Into Practice, 34(3), 159-165. https://doi.org/10.1080/00405849509543675
Lee, H.S., Mojica, G.M., Thrasher, E., & Baumgartner, P. (2022). Investigating data like a data scientist: Key practices and processes. Statistics Education Research Journal, 21(2), 1 – 23. https://doi.org/10.52041/serj.v21i2.41
Lesser, L. (2007). Critical values and transforming data: Teaching statistics with social justice. Journal of Statistics Education, 15(1), 1-22. https://doi.org/10.1080/10691898.2007.11889454
Rubel, L. (2017). Equity-directed instructional practices. Journal of Urban Mathematics Education, 10(2), 66-105. https://doi.org/10.21423/jume-v10i2a324
Stockton, G. (2021). 21 states that still don’t require de-escalation training for police. APM Reports. https://www.apmreports.org/story/2021/06/24/21-states-still-dont-require-deescalation-training- for-police
Weiland, T. & Williams, I. (2023). Culturally relevant data in teaching statistics and data science courses. Journal of Statistics and Data Science Education, 32(3), 1-16. https://doi.org/10.1080/26939169.2023.2249969