SPECIAL INTEREST GROUPS (SIGS)
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.
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
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.
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
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.
SIG Lead: VACANT