Student-Developed Shiny Applications for Teaching Statistics

Sabrina Luxin Wang, Anna Yinqi Zhang, Samuel Messer, Andrew Wiesner, Dennis K. Pearl

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This article describes a suite of student-created Shiny apps for teaching statistics and a field test of their short-term effectiveness. To date, more than 50 Shiny apps and a growing collection of associated lesson plans, designed to enrich the teaching of both introductory and upper division statistics courses, have been developed. The apps are available for free use and their open source code can be adapted as desired. We report on the experimental testing of four of these Shiny apps to examine short-term learning outcomes in an introductory statistical concepts course.

Original languageEnglish (US)
Pages (from-to)218-227
Number of pages10
JournalJournal of Statistics and Data Science Education
Volume29
Issue number3
DOIs
StatePublished - 2021

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Education
  • Management Science and Operations Research

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