Student-Developed Shiny Applications for Teaching Statistics
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2021/09/02
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Indian UGC (journal)
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Refrences16
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Citations7
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Sabrina Luxin Wang Department of Statistics, Penn State University, University Park, PA
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Anna Yinqi Zhang Department of Statistics, Penn State University, University Park, PA
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Samuel Messer Department of Statistics, Penn State University, University Park, PA
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Andrew Wiesner Department of Statistics, Penn State University, University Park, PA
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Dennis K. Pearl Department of Statistics, Penn State University, University Park, PA ORCID (unauthenticated)
Journal Categories
Education
Education (General)
Education
Special aspects of education
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | Journal of Statistics Education |
| 2002 | |
| Statistics: The Art and Science of Learning from Data | 2017 | |||
| Statistics: The Art and Science of Learning from Data | Journal of Statistics Education |
| 2012 | |
| Proceedings of the 56th Session of the International Statistical Institute | 2007 | |||
| Proceedings of the Seventh International Conference on Teaching Statistics | 2006 |
Citations
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics: Probabilities. Mathematical statistics | 5 |
| Education: Special aspects of education | 4 |
| Education: Education (General) | 4 |
| Science: Mathematics | 1 |
The category
Science: Mathematics: Probabilities. Mathematical statistics 5
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Web-Based Applets for Facilitating Simulations and Generating Randomized Datasets for Teaching Statistics and was published in 2022. The most recent citation comes from a 2024 study titled Personalized Education through Individualized Pathways and Resources to Adaptive Control Theory-Inspired Scientific Education (iPRACTISE): Proof-of-Concept Studies for Designing and Evaluating Personalized Education. This article reached its peak citation in 2023, with 3 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the Journal of Statistics and Data Science Education cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.