Document Type
Article
Publication Date
2020
Publication Title
Journal of Statistics Education
Volume
28
Issue
1
Abstract
We designed a sequence of courses for the DataCamp online learning platform that approximates the content of a typical introductory statistics course. We discuss the design and implementation of these courses and illustrate how they can be successfully integrated into a brick-and-mortar class. We reflect on the process of creating content for online consumers, ruminate on the pedagogical considerations we faced, and describe an R package for statistical inference that became a by-product of this development process. We discuss the pros and cons of creating the course sequence and express our view that some aspects were particularly problematic. The issues raised should be relevant to nearly all statistics instructors. Supplementary materials for this article are available online.
First Page
89
Last Page
97
Recommended Citation
Baumer, Benjamin; Bray, Andrew P.; Çetinkaya-Rundel, Mine; and Hardin, Johanna S., "Teaching Introductory Statistics with DataCamp" (2020). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/sds_facpubs/19
Digital Object Identifier (DOI)
doi.org/10.1080/10691898.2020.1730734
Rights
© 2020 The Author(s). Published with license by Taylor and Francis Group, LLC. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
Archived as published.