The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making
This article describes a collaborative project across multiple institutions to compare two versions of a regression activity: (a) a website version that collected student data through an online simulation with corresponding apps for visualization and (b) a traditional paper handout version that had a static dataset. This allowed us to evaluate the differences in student learning and attitudes when students have a stronger connection with the data through an interactive—and hopefully fun—data-collection process than they do when they are given a worksheet with a pre-collected dataset. While student and instructor responses indicated they liked the activity in both formats, the PreTest and PostTest results showed evidence of a higher gain in knowledge with the website version. Finally, we discuss how the website version connects with pedagogical strategies for the development of modern statistics and data science courses.
Authors
- Tyler George (ORCID: https://orcid.org/0000-0002-6777-038X)
- Scott Crawford (ORCID: https://orcid.org/0000-0003-3364-4761)
- Abhishek Chakraborty (ORCID: https://orcid.org/0000-0002-7323-1921)
- Lisa Kay
- Ginger Holmes Rowell
- Dennis K. Pearl (ORCID: https://orcid.org/0000-0003-1981-1826)
- Shonda Kuiper (ORCID: https://orcid.org/0009-0009-8665-9570)
- Lawrence M. Lesser (ORCID: https://orcid.org/0000-0001-5762-3987)
- Annemarie Olsen
Institutions
- Eastern Kentucky University (US)
- Pennsylvania State University (US)
- Lawrence University (US)
- The University of Texas at El Paso (US)
- Middle Tennessee State University (US)
- Grinnell College (US)
- Cornell University (US)
- Mitchell Institute (US)
- Texas A&M University (US)
Publication Details
- Journal
- Journal of Statistics and Data Science Education
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1080/26939169.2024.2441672
- Primary Topic
- Statistics Education and Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00