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

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

Check out our latest blog entry, featuring a reflection on #RoSE2025Conf from attendee Rhys C Jones! www.rose-network.org/blog/2025-ro...

Did you attend our conference and want to talk about your experiences? Reach out and let us know! #StatsEd

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πŸ‘€ Were you a #RoSE2025Conf attendee? We want to hear from you! Reach out via reply or DM this account with your thoughts and experiences. #StatsEd

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13 hours, many amazing talks, & not enough caffeine later, and the @rosenetwork.bsky.social 2025 econference has come to an end. A huge thanks to all speakers, session chairs, and most importantly Andrew, for putting on an amazing day.

Very proud to be a RoSE Deputy Director right now #RoSE2025Conf

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Very constructive session on using AI in statistics teaching at #RoSE2025Conf : when we focus on teaching students what questions to ask, more than how to calculate specific measures by hand, AI can play a useful role. but there are ethical considerations, energy and water use of LLMs to consider.

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The RoSE conference is now live! A marathon 13 hr day of talks all about statistics education - what more could you want? It's not too late to join - register at this link: forms.gle/ebM2kPyYAhbv.... #RoSE2025Conf #StatsEd #EduSky #statistics

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Let’s get started with the @rosenetwork.bsky.social conference! #RoSE2025Conf

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Preview
Registration form for RoSE eConference 2025 Use this form to register for RoSE 2025, a free online international statistics education research conference to be held on 31st July 2025. Refer to our website for more details.

🌟 #RoSE2025Conf Session Spotlight πŸ’«
πŸ€– Artificial Intelligence in Statistics Education πŸš€
Do we understand how students use AI?

On 31 July 2025, 0925 UTC, Alun Owen and Ralitza Soultanova will answer some of these questions by sharing student experiences. #StatsEd

Register ➑️ bit.ly/roseconferen...

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screenshot of the RoSE 2025 Conference Abstracts, accessible here: https://www.rose-network.org/events/rose-2025/conference-abstracts

screenshot of the RoSE 2025 Conference Abstracts, accessible here: https://www.rose-network.org/events/rose-2025/conference-abstracts

We're getting closer and closer to #RoSE2025Conf - have you checked out the abstracts yet? πŸ‘€ www.rose-network.org/events/rose-... Can't wait for all of our speakers! #StatsEd #statistics #conferences #EduSky

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14:05 - 15:20 UTC, Session B πŸ’‘
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).

14:05 - 15:20 UTC, Session B πŸ’‘ 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).

πŸš€ #RoSE2025Conf Spotlight πŸ’«

We’re one week from our FREE online conference on statistics education. Here’s a look at an upcoming session: Enhancing Statistics Instruction Through Educational Applications

Full abstract ➑️ www.rose-network.org/events/rose-...
Register ➑️ bit.ly/roseconferen...

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Thanks so much to Bella for the amazing design skills 😍 #RoSE2025Conf

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