Modeling Social Justice with Digital Tools: Preservice Teachers’ Statistical Investigations Using CODAP
ORCID
Fernandes: https://orcid.org/0000-0002-1113-523X; Bondurant: https://orcid.org/0000-0001-8069-2382
MSU Affiliation
College of Education; Department of Teacher Education and Leadership
Creation Date
2026
Creation Date
2026-09-27
Abstract
In this study, we investigate how thirty-four preservice teachers (PSTs) engaged in statistical modeling using a socially relevant dataset within a technology-supported environment. We used the statistical investigative cycle and the corresponding social justice cycle (Casey et al., 2023) as a lens to make sense of the PSTs’ work. Data sources included PSTs’ reports generated during a traffic stop investigation module implemented across multiple semesters. PSTs engaged in iterative cycles of descriptive and informal inferential analysis to evaluate claims about racial biases in policing. Our findings highlight the constant interaction between the context and stages of the statistical investigative cycle. Insights from multiple technology-supported statistical investigative cycles informed the social justice cycle. Our work highlights how tasks that merge authentic social justice issues with dynamic data analysis tools can simultaneously support the development of statistical modeling and statistical argumentation competencies among PSTs, while also normalizing issues of social justice in mathematics and statistics classrooms.
Keywords
social justice, modeling, statistics, technology, CODAP
Publication Date
Fall 9-27-2026
Publication Title
Journal of Educational Research in Mathematics
Publisher
The Korea Society Of Educational Studies In Mathematics
First Page
599
Last Page
624
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Rights
© 2026 The Korea Society of Education Studies in Mathematics
Recommended Citation
Fernandes, A., Simic-Muller, K, & Bondurant, L. (2026). Modeling social justice with digital tools: Preservice teachers’ statistical investigations using CODAP. Journal of Educational Research in Mathematics, 36(3), 599-624. https://doi.org/10.29275/jerm.2026.36.3.599
