Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science
Courses
Tuesday, March 21st, 2023 4:00 pm – 4:30 pm EDT
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Presented by: Mine Dogucu (University of California Irvine/University College London)
Abstract: This month, in the CAUSE (Consortium for the Advancement of Undergraduate
Statistics Education) / JSDSE (Journal of Statistics and Data Science Education) webinar
series, Mine Dogucu will discuss the article, Framework for Accessible and Inclusive
Teaching Materials for Statistics and Data Science Courses. The paper, coauthored by
Alicia Johnson and Miles Ott, argues that despite rapid growth in the data science
workforce, people of color, women, those with disabilities, and others remain
underrepresented in, underserved by, and sometimes excluded from the field. Thus, this
pattern prevents equal opportunities for individuals, while also creating products and
policies that perpetuate inequality. And the authors of the paper argue it is critical
that, as statistics and data science educators of the next generation, we center
accessibility and inclusion throughout our curriculum, classroom environment, modes of
assessment, course materials, and more. In the webinar, with some common strategies
applied across these areas, Dr. Dogucu will present a framework for developing accessible
and inclusive course materials (e.g., in-class activities, course manuals, lecture slides,
etc.), with examples drawn from the authors’ experience co-writing a statistics textbook.
This framework establishes a structure for holding ourselves as educators accountable to
these principles.
Article Link:
https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2165988
The webinar is free but pre-registration is required: please sign up at:
https://www.causeweb.org/cause/webinar/jsdse/2023-03
Please join us!