Student-Developed Shiny Applications for Teaching Statistics
Sabrina Luxin Wang, Anna Yinqi Zhang, Samuel Messer, Andrew Wiesner, Dennis K. Pearl
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.
Topics & Concepts
SuiteComputer scienceMathematics educationOpen sourceField (mathematics)Term (time)Code (set theory)StatisticsStatistical analysisTest (biology)Data sciencePsychologySoftwareMathematicsGeographyProgramming languagePure mathematicsSet (abstract data type)PaleontologyBiologyQuantum mechanicsPhysicsArchaeologyStatistics Education and MethodologiesInnovations in Educational Methods