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

Bradley, S. et al. (2023) A Methodology for Investigating Women's Module Choices in Computer Science. In: 2023 Conference on Innovation and Technology in Computer Science Education, Turku, Finland, 07-12 Jul 2023, pp. 569-570. ISBN 9798400701399 (doi: 10.1145/3587103.3594209)

[img] Text
307270.pdf - Published Version

842kB

Abstract

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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Parkinson, Mr Jack
Authors: Bradley, S., Parker, M. C., ALTIN, R., Barker, L., Hooshangi, S., Kamal, S., Kunkeler, T., Lennon, R. G., McNeill, F., Minguillón, J., Parkinson, J., Peltsverger, S., and Sibia, N.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9798400701399
Copyright Holders:Copyright © 2023 The Authors
Publisher Policy:Reproduced with the permission of the authors

University Staff: Request a correction | Enlighten Editors: Update this record