F02: Gender inclusive activities in an introductory statistics class

Information

While the overwhelming majority of Americans identify as either men or women, there's increasing understanding and acceptance that gender is a non-binary social construct. To wit, inclusive contexts in a statistics or data science course should reflect current societal maxims and beliefs and move beyond gender measured as a binary variable. In this session, we will share and have attendees interact with three activities developed for an introductory statistics course at the secondary or post-secondary level (one lecture, one lab assignment, and one in-class activity) and their associated lesson plans. The activities are based on data sets that include a large number of non-cisgender individuals, with contexts and questions that focus on promoting gender inclusivity. We will share how we incorporated these activities into an introductory statistics course at a small liberal arts college in the Midwestern United States. The focus of this beyond session will be on demonstrating and discussing how attendees can use these activities to foster inclusivity in their classrooms. More details about the design and evaluation of these activities will be separately presented in a poster session.