Culturally Relevant Data in Teaching Statistics and Data Science Courses

Tuesday, May 21st, 20244:00 pm – 4:30 pm ET

Presented by: Travis Weiland (University of Houston) and Immanuel Williams (California Polytechnic State University, San Luis Obispo)


In this May edition of the JSDSE/CAUSE webinar series, we highlight the 2023 article: Culturally Relevant Data in Teaching Statistics and Data Science Courses. The authors will discuss how to make data more meaningful to students through the choice of data and the activities they use to draw upon students' lived experiences. In translating scholarship around culturally relevant pedagogy from the fields of education and mathematics education they develop the idea of culturally relevant data, which they use to implement culturally relevant pedagogy in teaching data-intensive courses, leveraging the centrality of context through data in both statistics and data science to engage students particularly from historically marginalized groups in STEM. They provide suggestions as to ways of finding or creating culturally relevant data and using them, and they also present findings from pilot work on implementing these data in statistics courses.
Please join us!
Ciaran Evans