Abstract
The study of uncertainty is one of the essential parts of statistics, but not easy for students to understand especially in elementary statistical classes. With the rise of new technologies and media, it is worthwhile to think about how to promote innovation in class teaching combining these new technologies with online platforms. In this article, we develop a collection of dynamic interactive web-based applications with Shiny package based on our textbook “Modern Elementary Statistics”. The online and interactive teach-assisted platform seeks to facilitate conceptual understanding of the main aspects of elementary statistics, such as data description, statistical distributions, statistical inferences, and regression analysis. As the platform is affiliated with the textbook, it can ease the teaching and learning of important theorems and techniques for introductory probability and statistics.
This work is supported by Guangdong Natural Science Foundation No. 2018A0303130231.
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Notes
- 1.
- 2.
GitHubrepository: https://github.com/CSSEGISandData/COVID-19.
- 3.
R package: nCov2019, https://cran.r-project.org/web/packages/nCov2019/index.html.
- 4.
1. Linearity (Residuals vs. Fitted plot) 2. Homogeneity of variance (Scale-Location plot) 3. Independence 4. Normality (Normal QQ plot).
- 5.
GIF: Graphics Interchange Format.
- 6.
The full version of the survey and explanation can be founded via https://www.evaluationandstatistics.com/scoring.
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Liu, J., Deng, Y., Peng, X. (2021). Online Statistics Teaching-Assisted Platform with Interactive Web Applications Using R Shiny. In: Jia, W., et al. Emerging Technologies for Education. SETE 2021. Lecture Notes in Computer Science(), vol 13089. Springer, Cham. https://doi.org/10.1007/978-3-030-92836-0_8
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DOI: https://doi.org/10.1007/978-3-030-92836-0_8
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