14:05 - 15:20 UTC, Session B π‘
Enhancing Statistics Instruction Through Educational Applications
By Victoria Celio (York University)
Abstract: Introductory statistics courses are crucial to many undergraduate programs (e.g., Psychology). Unfortunately, many students do not look forward to completing introductory statistics courses (e.g., Bourne, 2018; Murtonen et al., 2008; Onwuegbuzie, 2004). Educational applications (EA) created through the Shiny package in R (version 1.10; Chang et al., 2015) offer a promising approach to improving students' experiences in these vital courses. These applications are user-friendly tools accessed via phone or computer browser that reinforce statistical concepts through interactive functions (Chance, 2007). These applications can be used for various purposes, including teaching general statistics concepts, inferential analyses and coding (Wang et al., 2021). The versatility of these applications makes it easy for instructors to incorporate them into their curriculum, regardless of their specific learning outcomes for students. These EAs also provide a user-friendly medium to incorporate interactivity, simulation and data visualization into instruction, which can be beneficial to students learning of statistics concepts (Forbes et al., 2014; Hazudin et al., 2017; Iten et al., 2014; Wang et al., 2021). The integration of EAs aligns with best practice guidelines from the Guidelines for Assessment and Instruction in Statistics Education, which encourage instructors to foster statistical thinking and conceptual understanding in students and incorporate technology, active learning, assessments and real data into instruction (GAISE, 2016). Unlike traditional methods for creating online applications, Shiny provides instructors with a method for developing EAs based on the R coding language (Doi et al., 2016; Wang et al., 2021).
π #RoSE2025Conf Spotlight π«
Weβre one week from our FREE online conference on statistics education. Hereβs a look at an upcoming session: Enhancing Statistics Instruction Through Educational Applications
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