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Learning statistics with interactive pictures using R Shiny: Generally preferred,but not generally advantageous
Authors:Fang Zhao  Lena Schützler  Oliver Christ  Robert Gaschler
Institution:1. CATALPA, FernUniversität in Hagen, Hagen, Germany;2. Faculty of Psychology, FernUniversität in Hagen, Hagen, Germany
Abstract: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.
Keywords:cognitive engagement  exploitation-exploration dilemma  interactive simulation  statistical concept
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