TY - JOUR
T1 - Gender Diversity in Computer Science at a Large Public R1 Research University
T2 - Reporting on a Self-study
AU - Babeş-Vroman, Monica
AU - Nguyen, Thuytien N.
AU - Nguyen, Thu D.
N1 - Funding Information:
This article contains some analyses and results from Babeş-Vroman et al. “Exploring Gender Diversity in CS at a Large Public R1 Research University.” In Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE), 2017. This work was partially supported by a Google Computer Science Capacity Award and NSF grant DUE-1504775. Authors’ addresses: M. Babeş-Vroman, T. D. Nguyen, and T. N. Nguyen, Rutgers University - New Brunswick, Department of Computer Science 110 Frelinghuysen Rd, Piscataway, NJ 08854; emails: monica.babes@rutgers.edu, tdnguyen@ cs.rutgers.edu, ttienguyen@gmail.com. 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 permissions@acm.org. © 2021 Association for Computing Machinery. 1946-6226/2021/11-ART13 $15.00 https://doi.org/10.1145/3471572
Publisher Copyright:
© 2021 Association for Computing Machinery.
PY - 2022/6
Y1 - 2022/6
N2 - With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of women 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-New Brunswick, a large public R1 research university, using three data sets that span thousands of students across six academic years. Specifically, we combine these data sets to study the gender gaps in four core CS courses and explore the correlation of several factors with retention and the impact of these factors on changes to the gender gap as students proceed through the CS courses toward completing the CS major. For example, we find that a significant percentage of women students taking the introductory CS1 course for majors do not intend to major in CS, which may be a contributing factor to a large increase in the gender gap immediately after CS1. This finding implies that part of the retention task is attracting these women students to further explore the major. Results from our study include both novel findings and findings that are consistent with known challenges for increasing gender diversity in CS. In both cases, we provide extensive quantitative data in support of the findings.
AB - With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of women 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-New Brunswick, a large public R1 research university, using three data sets that span thousands of students across six academic years. Specifically, we combine these data sets to study the gender gaps in four core CS courses and explore the correlation of several factors with retention and the impact of these factors on changes to the gender gap as students proceed through the CS courses toward completing the CS major. For example, we find that a significant percentage of women students taking the introductory CS1 course for majors do not intend to major in CS, which may be a contributing factor to a large increase in the gender gap immediately after CS1. This finding implies that part of the retention task is attracting these women students to further explore the major. Results from our study include both novel findings and findings that are consistent with known challenges for increasing gender diversity in CS. In both cases, we provide extensive quantitative data in support of the findings.
KW - CS1
KW - CS2
KW - Gender diversity
KW - Student retention
UR - http://www.scopus.com/inward/record.url?scp=85127199623&partnerID=8YFLogxK
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U2 - 10.1145/3471572
DO - 10.1145/3471572
M3 - Article
AN - SCOPUS:85127199623
VL - 22
JO - ACM Transactions on Computing Education
JF - ACM Transactions on Computing Education
SN - 1946-6226
IS - 2
M1 - 3471572
ER -