Visualizing statistical edutainment: What you see is what you get

Abstract

Concepts of data visualization are explored using statistics educational fun items and illustrated by sharing results from the experiment we conducted on cartoon captions.

Community of teaching practice informed by the discipline and scholarship

“…As they comment in this, their 13th article, in this issue [6] “educational fun remains useful in helping engage students, lower anxiety, make lessons memorable, and increase student motivation and learning. Our intention was that these pieces (after being put into syllabus order) could span and enhance almost all topics of a typical introductory course.”…”

“…Visualization has always been of critical importance in statistics, but the combination of technology advances and accessibility of large and complex data has skyrocketed its eminence in both capabilities and significance in good practice in statistics and data science, and therefore, in teaching. Just some indicators of the importance of data visualization are the number of references in the article [6], and the number of webpages with the word in a title produced by a search on the International Association for Statistical Education (IASE). The Royal Statistical Society (RSS) has also just published a new guide, Best Practices for Data Visualisation' https://royal-statistical-society.github.io/datavisguide/.…”

“…In developing a framework of principles, interpretations, and communications for data visualizations, Larry and Dennis refer to a range of works, and the online syllabus for a data visualization course at the University of Auckland. Like the course at ANU, this course has a prerequisite statistics course, whereas the learning objectives in [6] are aimed at introductory tertiary courses.…”