Every week, we select a recently published Open Access article to feature. This week’s article is from Teaching Statistics and explores the interactive web app, the R package Shiny. 

The article’s abstract is given below, with the full article available to read here.

Zhao, F., Schützler, L., Christ, O., and Gaschler, R., Learning statistics with interactive pictures using R Shiny: Generally preferred, but not generally advantageous, Teach. Stat. (2022), 1– 19. https://doi.org/10.1111/test.12324

Constructing interactive web apps has become more accessible for instructors, for example, by using the R package Shiny. Here we explored learners’ preferences and the efficiency of interactive simulations versus static pictures in acquiring statistics knowledge of Cohen’s d and standard normal distribution. Results revealed that students’ spontaneous interaction with pictures was infrequent (pilot study, N = 26). While prompts (Exp. 1, N = 152) effectively ensured the manipulation of simulations, student exposure to interactive simulations led to longer learning times though similar test performance compared with student exposure to static pictures. Multiple interactive representations led to lower test performance than single interactive and static representations (Exp. 2, N = 117). Though no advantage was gained regarding learning outcomes, participants preferred the interactive variant (Exp. 3, N = 119). Taken together, this study demonstrates that the superiority of interactive pictures cannot be assumed to hold in general. Further work should evaluate how mental model construction can be effectively scaffolded by interactive simulations.