A Methodology for Investigating Women's Module Choices in Computer Science

dc.contributor.authorBradley, Stevenen
dc.contributor.authorParker, Mirandaen
dc.contributor.authorAltin, Rukiyeen
dc.contributor.authorBarker, Leciaen
dc.contributor.authorHooshangi, Saraen
dc.contributor.authorKamal, Samiaen
dc.contributor.authorKunkeler, Thomen
dc.contributor.authorLennon, Ruthen
dc.contributor.authorMcNeill, Fionaen
dc.contributor.authorMinguillón, Juliàen
dc.contributor.authorParkinson, Jacken
dc.contributor.authorPeltsverger, Svetlanaen
dc.contributor.authorSibia, Naazen
dc.date.accessioned2023-07-11T13:48:15Zen
dc.date.available2023-07-11T13:48:15Zen
dc.date.issued2023-07en
dc.date.updated2023-07-01T08:03:08Zen
dc.description.abstractAt ITiCSE 2021, Working Group 3 examined the evidence for teaching practices that broaden participation for women in computing, based on the National Center forWomen & 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.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1145/3587103.3594209en
dc.identifier.urihttp://hdl.handle.net/10919/115734en
dc.language.isoenen
dc.publisherACMen
dc.rightsIn Copyrighten
dc.rights.holderThe author(s)en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleA Methodology for Investigating Women's Module Choices in Computer Scienceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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