At the core of the RoSE Network are our series of Special Interest Groups (SIGS). Each relates to a specific area of statistics education research and practice. The SIGs host regular meetings and Slack channels where researchers can share, discuss, and collaborate on new developments in their field. Everyone is welcome to join any of our SIGS and you can engage as much or as little as you have the capacity to. 

We are always excited to hear proposals for new SIGs, too! If you would like to set up your own SIG, contact our Research Directors, Florian and Moya.

Click here to connect with us on Slack and join our SIGS.


In recent years, the utilization of AI in statistics education has seen substantial growth and rapid evolution. This technology is not only expanding but also transforming the landscape, enhancing administrative functions, aiding teachers, and providing support to students. The Artificial Intelligence in Statistics Education Special Interest Group (SIG) aims to delve into the multifaceted role of AI in the administration, teaching, and learning aspects of statistics education. The focus of the group is on researching the potential of using AI in statistical education as well as research on understanding how to use it and research on the consequences of AI in statistical education."

SIG Lead: Lazaros Gonidis

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Up until recently, most undergraduate-level introductory statistics modules on non-specialist degree courses (i.e., outside of, e.g., maths, computing etc.) commonly used SPSS. There has been a recent shift away from SPSS towards using free software, such as JASP and Jamovi and even the command-line-based software, R. This SIG is interested in exploring questions about the educational pros and cons of different statistics software and how to teach and learn them effectively.

SIG Leads: Alyssa Counsell, Anna Fergusson, & Nicola Rennie

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Statistics Anxiety

Statistics anxiety is a hot topic in statistics education. We know that a lot of students seem to have it, but there is little consensus on what causes it, what its impact is, how to reduce it, or even what the construct actually is. The statistics anxiety SIG is interested in trying to answer these questions.

SIG Leads: Letetia Addison & Fareena Alladin 

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statistics pedagogy

Statistics is a tricky subject to teach and learn. Even putting anxiety and computing aside, we are still faced with the challenge of trying to communicate often complex and unintuitive concepts to students. The statistics pedagogy SIG are interested in finding the most effective ways of teaching and learning statistical concepts.

SIG Lead: Hilary Watt

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Statistics education research is fraught with potential pitfalls. How can we conduct ethical, ecologically valid, controlled experimental research with our students? How are we measuring often nebulous and ill-defined constructs, such as 'achievement'? What is the impact of siloed literatures developing in different disciplines? Where is the theoretical grounding? The research methods SIG concerns itself with meta-scientific questions such as these.