Details of Research Outputs

TitleOnline Statistics Teaching-Assisted Platform with Interactive Web Applications Using R Shiny
Creator
Date Issued2021
Conference Name6th International Symposium on Emerging Technologies for Education, SETE 2021
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN0302-9743
Volume13089 LNCS
Pages84-91
Conference Date11 November 2021 到 12 November 2021
Conference PlaceZhuhai
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.

KeywordInteractive interface Online teaching-assisted platform Shiny app Statistics education
DOI10.1007/978-3-030-92836-0_8
URLView source
Indexed ByCPCI-S ; CPCI-SSH
Language英语English
WOS Research AreaComputer ScienceEducation & Educational Research
WOS SubjectComputer Science, Interdisciplinary ApplicationsComputer Science, Theory & MethodsEducation & Educational Research
WOS IDWOS:000763915900008
Scopus ID2-s2.0-85124672272
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/8321
CollectionFaculty of Science and Technology
Corresponding AuthorPeng, Xiaoling
Affiliation
Department of Statistics,Devision of Science and Technology,BNU-HKBU United International College,Zhuhai,China
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Corresponding Author AffilicationBeijing 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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