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Exploring Gender Diversity in CS at a Large Public R1 Research University

Published: 08 March 2017 Publication History

Abstract

With the number of Computer Science (CS) jobs on the rise, there is a greater need for Computer Science graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of female students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we explore the gender gap in CS at Rutgers University using three data sets that span thousands of students across 3.5 academic years. By combining these data sets, we can explore interesting issues such as retention, as students progress through the CS major. For example, we find that a large percentage of women taking the Introductory CS1 course for majors do not intend to major in CS, which contributes to a large increase in the gender gap immediately after CS1. This finding implies that a large part of the retention task is attracting these women to further explore the major. We correlate our findings with initiatives that some CS programs across the country have taken to significantly improve their gender diversity, and identify initiatives that we can start with in our effort to increase the diversity in our program. These findings may also be applicable to the computing programs at other large public research universities.

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Cited By

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  • (2024)Recruiting Practices in Informal CS LearningACM Transactions on Computing Education10.1145/368882924:4(1-29)Online publication date: 14-Aug-2024
  • (2024)State-of-the-Art Review on Current Approaches to Female Inclusiveness in Software Engineering and Computer Science in Higher EducationIEEE Access10.1109/ACCESS.2023.334676712(1360-1373)Online publication date: 2024
  • (2023)Enabling Investigation of Impacts of Inclusive Collaborative Active Learning Practices on Intersectional Groups of Students in Computing Education2023 IEEE Frontiers in Education Conference (FIE)10.1109/FIE58773.2023.10343317(1-10)Online publication date: 18-Oct-2023
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cover image ACM Conferences
SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
March 2017
838 pages
ISBN:9781450346986
DOI:10.1145/3017680
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 08 March 2017

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Author Tags

  1. gender diversity
  2. introduction to computer science
  3. student retention

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SIGCSE '17 Paper Acceptance Rate 105 of 348 submissions, 30%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
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Cited By

View all
  • (2024)Recruiting Practices in Informal CS LearningACM Transactions on Computing Education10.1145/368882924:4(1-29)Online publication date: 14-Aug-2024
  • (2024)State-of-the-Art Review on Current Approaches to Female Inclusiveness in Software Engineering and Computer Science in Higher EducationIEEE Access10.1109/ACCESS.2023.334676712(1360-1373)Online publication date: 2024
  • (2023)Enabling Investigation of Impacts of Inclusive Collaborative Active Learning Practices on Intersectional Groups of Students in Computing Education2023 IEEE Frontiers in Education Conference (FIE)10.1109/FIE58773.2023.10343317(1-10)Online publication date: 18-Oct-2023
  • (2023)A Review on the Impact of Cognitive Factors in Introductory ProgrammingProceedings of Fourth International Conference on Communication, Computing and Electronics Systems10.1007/978-981-19-7753-4_77(1019-1032)Online publication date: 15-Mar-2023
  • (2022)Gender Disparities in AP Computer Science Exams: Analysis of Trends in Participation and top AchievementJournal of Advanced Academics10.1177/1932202X22111949933:4(574-603)Online publication date: 15-Aug-2022
  • (2022)Retaining women in computer scienceProceedings of the Third Workshop on Gender Equality, Diversity, and Inclusion in Software Engineering10.1145/3524501.3527598(35-42)Online publication date: 19-May-2022
  • (2022)Additional Evidence for the Prevalence of the Impostor Phenomenon in ComputingProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499282(654-660)Online publication date: 22-Feb-2022
  • (2021)The Boolean Dilemma: Representing Gender as Data TypeProceedings of the 21st Koli Calling International Conference on Computing Education Research10.1145/3488042.3489960(1-2)Online publication date: 17-Nov-2021
  • (2021)Delving into gender gap perceptions of computing students: A replication study.Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)10.1145/3486011.3486428(103-108)Online publication date: 26-Oct-2021
  • (2021)Gender Diversity in Computer Science at a Large Public R1 Research University: Reporting on a Self-studyACM Transactions on Computing Education10.1145/347157222:2(1-31)Online publication date: 1-Nov-2021
  • Show More Cited By

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