Title | Online Statistics Teaching-Assisted Platform with Interactive Web Applications Using R Shiny |
Creator | |
Date Issued | 2021 |
Conference Name | 6th International Symposium on Emerging Technologies for Education, SETE 2021 |
Source Publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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ISSN | 0302-9743 |
Volume | 13089 LNCS |
Pages | 84-91 |
Conference Date | 11 November 2021 到 12 November 2021 |
Conference Place | Zhuhai |
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. |
Keyword | Interactive interface Online teaching-assisted platform Shiny app Statistics education |
DOI | 10.1007/978-3-030-92836-0_8 |
URL | View source |
Indexed By | CPCI-S ; CPCI-SSH |
Language | 英语English |
WOS Research Area | Computer ScienceEducation & Educational Research |
WOS Subject | Computer Science, Interdisciplinary ApplicationsComputer Science, Theory & MethodsEducation & Educational Research |
WOS ID | WOS:000763915900008 |
Scopus ID | 2-s2.0-85124672272 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/8321 |
Collection | Faculty of Science and Technology |
Corresponding Author | Peng, Xiaoling |
Affiliation | Department of Statistics,Devision of Science and Technology,BNU-HKBU United International College,Zhuhai,China |
First Author Affilication | Beijing Normal-Hong Kong Baptist University |
Corresponding Author Affilication | Beijing Normal-Hong Kong Baptist University |
Recommended Citation GB/T 7714 | Liu, Junjie,Deng, Yuhui,Peng, Xiaoling. Online Statistics Teaching-Assisted Platform with Interactive Web Applications Using R Shiny[C], 2021: 84-91. |
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