ORCID
York: https://orcid.org/0000-0001-6295-7658; Bondurant: https://orcid.org/0000-0001-8069-2382; Hodge-Zickerman: https://orcid.org/0000-0002-2631-5145; Stade: https://orcid.org/0000-0003-4989-7800
MSU Affiliation
College of Education; Department of Teacher Education and Leadership
Creation Date
2026-02-14
Abstract
A TACTivity is a tactile learning activity that involves manipulating physical or virtual pieces, encourages collaboration and engagement, actively engages learners in creative problem-solving, and can be used for teaching or reviewing concepts in a self-checking, non-permanent way, often with minimal instructions. We present a digital data science TACTivity that involves having learners interactively create a two-way table to model COVID-19 data. Learners use relative frequencies to determine the true positive, true negative, false positive, and false negative rates. The digital TACTivity reinforces learning about conditional probability, Bayes’ Theorem, and natural frequencies. In this article, we share learners’ engagement with the TACTivity and our evaluations of how the TACTivity can support equitable teaching practices within a design-based research framework.
Publication Date
Winter 2-13-2026
Publication Title
Scatterplot
Publisher
Taylor & Francis Group / Routledge
First Page
1
Last Page
15
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
York, C., Bondurant, L., Hodge-Zickerman, A., & Stade, E. (2026). Digital TACTivities in data science: Investigating engagement and equitable practices. Scatterplot, 3(1), 1–15. https://doi.org/10.1080/29932955.2026.2629578
Included in
Science and Mathematics Education Commons, Teacher Education and Professional Development Commons
Comments
This is an Accepted Manuscript of an article published by Taylor & Francis in Scatterplot on 03 Mar 2026, available at: https://doi.org/10.1080/29932955.2026.2629578.