Engaging students with statistics through choice of real data context on homework
Abstract
Statistics educators recommend teaching with real data with relevant contexts, but defining relevancy is challenging and varies by student. We investigated whether providing student choice of data context increases engagement through a quasi-experiment in two sections of an introductory probability and statistics course at a large public university (n=65 consenting students). Sections alternated as treatment and control: during their treatment, students chose weekly homework from three similar instructor-provided options varying by data context; during control weeks, they received randomly assigned contexts. We found no significant difference in homework grades between treatment and control conditions. However, thematic analysis revealed students with choice reported enhanced engagement and motivation, greater appreciation for statistics' real-world value, and increased autonomy. Students overwhelmingly preferred contexts relevant to their interests, experiences, daily lives, and career paths-though preferences varied considerably across individuals. Based on these findings, we provide four recommendations for statistics educators: (1) use real data with authentic contexts, (2) select contexts students care about, (3) incorporate variety across data contexts, and (4) consider choice as a pedagogical tool.
Keywords
Cite
@article{arxiv.2603.04541,
title = {Engaging students with statistics through choice of real data context on homework},
author = {Catalina Medina and Mine Dogucu},
journal= {arXiv preprint arXiv:2603.04541},
year = {2026}
}
Comments
25 pages, 3 figures, 2 tables. Submitted to The American Statistician. Supplementary materials and code available at https://github.com/CatalinaMedina/data-context-choice-manuscript