Critical Theory in Statistics Education
| Date | 06 Oct 2022 |
| Time | 18:00 - 19:30 in UTC |
| Presenter |
Lucia Zapata-Cardona
, Universidad De Antioquia (Colombia)
Travis Weiland
, University of North Carolina, Charlotte (United States)
|
We are in an information age where data is constantly being collected and analyzed under the guise of benefiting all. This would seem to be a time for statistics and data science education to flourish. However, many of the algorithms and processes have baked into them the same biases as those who created them. Critical theory provides a lens to interrogate systemic issues of injustice and address crises in society. Given our current state of democracies in crisis across the globe we plan to discuss ways that statistics and data science educators can and have incorporated ideas from critical theory into their work in statistics and data science education. We provide some background into critical theory and how it has been taken up in mathematics education work and then discuss how these ideas could and have been used in the context of statistics and data science education work. Our goal is also to foster dialogue over these ideas so significant time will be devoted to discussion and questions.
Presenters
About the presenter
Biography:
Lucía Zapata-Cardona is a full professor at the Universidad de Antioquia, Colombia. Her interests are in teacher education, statistics education and critical data science. She is currently working on the development of data science teaching materials that help citizens understand and transform critical social issues.
Contact: lucia.zapata1@udea.edu.co
About the presenter
Biography:
Travis Weiland -Assistant Professor- University of North Carolina Charlotte. My interests are at the intersection of teacher education, statistics education, data science education, and critical education. Currently much of my work is focused on studying how mathematics teachers develop critical statistical literacies for doing and teaching data investigation concepts and practices.
Contact: tweilan1@charlotte.edu