Culturally Relevant Data in Teaching Statistics and Data Science Courses
Tuesday, May 21, 2024 4:00 - 4:30 pm ET
Presented by: Travis Weiland (University of Houston) and Immanuel Williams (California
Polytechnic State University, San Luis Obispo)
Abstract: 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.
Article Link:
https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2249969
The webinar is free but pre-registration is required. Please sign up at:
https://www.causeweb.org/cause/webinar/jsdse/2024-05
Please join us!
Ciaran Evans