I am equally passionate about data science education, particularly at the secondary level, since I think data literacy is becoming ever more important in our current environment. My collaborators and I have published several papers recently that study the question of how to best prepare future mathematics teachers to teach data science.
"Scaffolding Data Science Concepts For Future Mathematics Teachers", in Proceedings of the forty-seventh annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (R. M. Zbiek, X. Yao, A. McCloskey, and F. Arbaugh, eds.), Pennsylvania State University. (2025) ppg. 1739--1743. doi.org/10.51272/pmena.47.2025
- "Leveraging Mathematical Knowledge to Prepare Future Math Teachers to Teach Data Science", with Heather Gallivan, Lydia Butters and Stephen Nathan Mercil, Scatterplot, 3 (2026), issue 1, paper 2644686. 16 ppg. doi.org/10.1080/29932955.2026.2644686. (Access available to those with MAA memberships!)
- "Evaluating the Effectiveness of Data Science Curriculum on Preservice Secondary Mathematics Teachers’ Learning", with Lydia Butters and Heather Gallivan, MTE Journal, 15 (2026), no. 1, 19 ppg. doi.org/10.5951/MTE.2026-0017