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...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-01-01
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| Series: | Journal of Statistics and Data Science Education |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/26939169.2024.2441672 |
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| author | Shonda Kuiper Abhishek Chakraborty Tyler George Lisa W. Kay Lawrence M. Lesser Ginger Rowell Dennis Pearl Scott Crawford Anna Olsen |
| author_facet | Shonda Kuiper Abhishek Chakraborty Tyler George Lisa W. Kay Lawrence M. Lesser Ginger Rowell Dennis Pearl Scott Crawford Anna Olsen |
| author_sort | Shonda Kuiper |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e11328bd5cfb45afa3755a120556ab0c |
| institution | Kabale University |
| issn | 2693-9169 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Statistics and Data Science Education |
| spelling | doaj-art-e11328bd5cfb45afa3755a120556ab0c2025-02-03T19:25:13ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692025-01-011910.1080/26939169.2024.2441672The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision MakingShonda Kuiper0Abhishek Chakraborty1Tyler George2Lisa W. Kay3Lawrence M. Lesser4Ginger Rowell5Dennis Pearl6Scott Crawford7Anna Olsen8Grinnell College, Grinnell, IALawrence University, Appleton, WICornell College, Mt. Vernon, IAEastern Kentucky University, Richmond, KYThe University of Texas at El Paso, El Paso, TXMiddle Tennessee State University, Murfreesboro, TNPennsylvania State University, State College, PATexas A&M University, College Station, TXGrinnell College, Grinnell, IAThis 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.https://www.tandfonline.com/doi/10.1080/26939169.2024.2441672ClassGamificationSimulationStatistics EducationStudent activityTesting |
| spellingShingle | Shonda Kuiper Abhishek Chakraborty Tyler George Lisa W. Kay Lawrence M. Lesser Ginger Rowell Dennis Pearl Scott Crawford Anna Olsen The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making Journal of Statistics and Data Science Education Class Gamification Simulation Statistics Education Student activity Testing |
| title | The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making |
| title_full | The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making |
| title_fullStr | The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making |
| title_full_unstemmed | The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making |
| title_short | The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making |
| title_sort | greenhouse effect using student generated agricultural data to warm up students for data based decision making |
| topic | Class Gamification Simulation Statistics Education Student activity Testing |
| url | https://www.tandfonline.com/doi/10.1080/26939169.2024.2441672 |
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