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Unlocking the clubhouse: women in computing
Abstract
We recount some of the most significant and colorful findings of our four-year study of gender issues in the undergraduate computer science program at Carnegie Mellon. We also discuss the subsequent dramatic increase in the number of women in the program. We conclude with recommendations for the most generally useful and effective actions departments can take to attract and retain female students.
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Citations
Cited by
Ambient belonging: how stereotypical cues impact gender participation in computer science
Cheryan, S., Plaut, V. C., Davies, P. G., & Steele, C. M. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0016239 · Cited by 1,372
Why are some STEM fields more gender balanced than others?
Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017) · Psychological Bulletin · doi:10.1037/bul0000052 · Cited by 1,259
Differences in Actual and Perceived Online Skills: The Role of Gender*
Hargittai, E., & Shafer, S. (2006) · Social Science Quarterly · doi:10.1111/j.1540-6237.2006.00389.x · Cited by 734
Two Bits: The Cultural Significance of Free Software
(2008) · Choice Reviews Online · doi:10.5860/choice.46-2158 · Cited by 709
Cheryan, S., Master, A., & Meltzoff, A. N. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00049 · Cited by 646
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2002-05-01
- Volume
- 39
- Issue
- 09
- Pages
- 39-5237-39-5237
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W2030768171
- Cited by
- 1,958
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
