At ITiCSE 2021, Working Group 3 examined the evidence for teaching practices that broaden participation for women in computing, based on the National Center for Women & Information Technology (NCWIT) Engagement Practices framework. One of the report’s recommendations was “Make connections from computing to your students’ lives and interests (Make it Matter) but don’t assume you know what those interests are; find out! ” The goal of this 2023 working group is to find out what interests women students by bringing together data from our institutions on undergraduate module enrollment, seeing how they differ for women and men, and what drives those choices. We will code published module content based on ACM curriculum guidelines and combine these data to build a hierarchical statistical model of factors affecting student choice. This model should be able to tell us how interesting or valuable different topics are to women, and to what extent topic affects choice of module – as opposed to other factors such as the instructor, the timetable, or the mode of assessment. Equipped with this knowledge we can advise departments how to focus curriculum development on areas that are of value to women, and hence work towards making the discipline more inclusive.
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Tag: broadening participation
Computing skills, beliefs and identities in young people from underserved communities
Despite increasing access to computing curricula within schools, the number of young people from diverse backgrounds choosing computing qualifications and careers is still low. It is important to understand the reasons for this lack of engagement directly from young people in order to identify potential avenues for intervention. Furthermore, it is vital to consider these reasons within their specific educational and social contexts. This qualitative pilot study aimed to provide insight into how young people from underserved communities in the United Kingdom viewed computing and how it related to their current lives and future aspirations. We interviewed thirteen young people, aged 9-22, who were at risk of educational disadvantage. Thematic analyses identified a mismatch between a stereotyped computing identity and the identities or personal interests of the young people. Although they felt comfortable with using computers in general, the young people seemed to lack belief in their own ability, or to understate it, during the interviews. Future research should expand on these themes and take an intersectional approach to promote context-specific interventions and support to encourage a more diverse workforce in computer science.
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