Statistics Teaching and Learning Corner
In this post, contributing author Ivan Ramler shares information about the NSF-funded SCORE Network. The network aims to enhance statistics education through sports analytics by developing case-based learning materials and facilitating partnerships. This initiative provides resources for educators and students to explore real-world data.
Syllabi play a crucial role in higher education, serving as more than just course guides. Students' behavior toward syllabi and ways to improve engagement are explored. Andy Zieffler suggests organizing syllabus content strategically, adopting an appealing design, and using readable fonts and color palettes. These elements can enhance students' interaction with the syllabus.
In this post, Zoe Rehnberg and Allison Theobold apply the three-question design framework from the last post to assess curricular and pedagogical choices impacting LGBTQ+ students. They present examples such as using data with binary gender and asking for student pronouns, discussing potential adaptations and sustainability concerns.
Nicole Dalzell discusses the importance of inclusive teaching decisions and presents a three-question framework for evaluation. Using a coding challenge example, she addresses student needs and suggests adaptations for inclusivity. Dalzell emphasizes the sustainability of these decisions and advocates for an ongoing reflective process to support every student in the classroom.
Angelo Elmi and Heather Hoffman present two teaching approaches for programming with statistical software in this post. The error-free method focuses on writing correct code, while the error-full method intentionally exposes students to instructor-created errors to develop their debugging skills. They believe that the error-full method helps students gain confidence and prefer it over the error-free approach.
In previous blogs, I wrote about representation and engagement as two of the guidelines for Universal Design for Learning (UDL). In this blog post, I am going to concentrate on the final guideline: action and expression.
StatTLC 