ALT Recruitment poster for RoSE Network announcing open roles: 2027 eConference Co-Chair (majority world), two Finance Co-Directors, and Statistics Pedagogy SIG Lead, with website link.

ALT Welcome graphic introducing Njoki Njuki (she/her), featuring her portrait and text highlighting her background in biostatistics and data analysis, her interest in applying statistics to health research, and her role as a Social Media Officer, alongside her involvement as an R-Ladies Remote organiser and active member of the #RStats community.

ALT Untold Stories in Statistics Education Research: Contemplation to Publication and Beyond 11 September 2025; 15:00 UTC (see below for localized date/time) Webinar duration: 90 minutes Presenter(s): Elinor Jones (Chair), Larry Lesser, Mine Dogucu and Florian Berens Many research endeavours have a backstory which is more complex, nonlinear, messy, and instructive than the final article suggests. This webinar brings together authors of diverse statistics education studies to share how their research unfolded over time, including unanticipated obstacles, conflicting reviewer feedback, and evolving perspectives. Expect honesty, practical wisdom, and a deeper appreciation for the start-to-finish journey of ‘doing research’ in statistics education. Register: https://forms.gle/gA1HLEDqgbuw6mqS6

ALT A person looks up at some basic shapes, connected together with a dark line.

ALT 14:05 - 15:20 UTC, Session B 💡 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).