Each week, we select a recently published Open Access article to feature. This week’s article comes from the latest special issue of Teaching Statistics entitled “Teaching Data Science and Statistics: foundation and introductory“. The article proposes teaching statistics from a data-centric perspective to ensure students have a better understanding of the importance and applicability of statistics.
The ar
ticle’s abstract is given below, with the full article available to read here.
, , , , , . Statistics education from a data-centric perspective. Teaching Statistics. 2021; 43: S201– S215. https://doi.org/10.1111/test.12264
The ubiquitous acquisition and generation of data require a reworking of curricula in introductory statistics in tertiary education. We present a renewed curriculum that focuses on scientific thinking, modeling, and simulation-based inference, utilizing R and various R tools such as shiny and learnr apps. We teach statistics from a data-centric perspective, enabling the students to become data literate. Initial feedback of students and educators at our university of applied sciences shows that students’ conceptual understanding improved and they understood the practical applicability of statistics better.