Cited By
View all- Ott L(2018)Combatting Stereotypes in Computing Using Personality Type2018 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2018.8658710(1-5)Online publication date: Oct-2018
Who Are You? We Really Wanna Know... Especially If You Think You're Like a Computer Scientist
Pages 40 - 43
Abstract
We developed a short, easily implemented survey that measures the similarity in phrases describing the self and a computer scientist. Additionally, we took initial steps in determining adjectives or phrases that describe a stereotypical computer scientist. We then administered this survey before and after an eight-week summer computer science program for high school girls. We found that phrases or adjectives used to describe the self converged with those to describe the computer scientist. In addition, descriptions of both were more positive at the end of the program compared to the beginning. Finally, the stereotypical of a computer scientist decreased from the beginning to the end of the program. Future work includes refinement of the stereotype measure and assessing different types of computer science programs.
References
[1]
C. Ashcraft, E. Eger, and M. Friend. Girls in IT: The Facts. Technical report, National Center for Women in Information Technology, 2012.
[2]
B. Barron. Learning Ecologies for Technological Fluency: Gender and Experience Differences. Journal of Educational Computing Research, 31(1):1--36, Mar. 2004.
[3]
A. Bruckman, M. Biggers, B. Ericson, T. Mcklin, J. P. Dimond, B. Disalvo, M. Hewner, L. Ni, and S. Yardi. âĂIJ Georgia Computes!âĂİ: Improving the Computing Education Pipeline. In SIGCSE '09, pages 86--90, 2009.
[4]
L. Carter. Why students with an apparent aptitude for computer science don't choose to major in computer science. Proceedings of the 37th SIGCSE technical symposium on Computer science education - SIGCSE '06, page 27, 2006.
[5]
D. W. Chambers. Stereotypic images of the scientist: The draw-a-scientist test. Science Education, 67(2):255--265, 1983.
[6]
S. Cheryan and V. C. Plaut. Explaining Underrepresentation: A Theory of Precluded Interest. Sex roles, 63(7--8):475--488, Oct. 2010.
[7]
E. Erikson. Childhood and Society. Norton, 1963.
[8]
H. Ibarra. Provisional selves: Experimenting with image and identity in professional adaptation. Administrative Science Quarterly, 44:764--791, 1999.
[9]
J. Margolis and A. Fisher. Unlocking the Clubhouse: Women in Computing. The MIT Press, 2003.
[10]
D. P. McAdams. The psychological self as actor, agent, and author. Perspectives on Psychological Science, 8:272--295, 2013.
[11]
A. R. McConnell. The multiple self-aspects framework: self-concept representation and its implications. Personality and social psychology review, 15(1):3--27, Feb. 2011.
[12]
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems, pages 3111--3119, 2013.
[13]
NCWIT. By the Numbers. Technical report, National Center for Women and Information Technology, 2014.
[14]
B. Pang and L. Lee. Opinion mining and sentiment analysis. Foundations and trends in information retrieval, 2(1--2):1--135, 2008.
[15]
N. Veilleux, R. Bates, D. Jones, J. Crawford, C. Allendoerfer, and T. Floyd Smith. The relationship between belonging and ability in computer science. Proceeding of the 44th ACM technical symposium on Computer science education - SIGCSE '13, 6:65, 2013.
Index Terms
- Who Are You? We Really Wanna Know... Especially If You Think You're Like a Computer Scientist
Recommendations
Children’s Interest in a CS Career: Exploring Age, Gender, Computer Interests, Programming Experience and Stereotypes
ICER '23: Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1Background and Context. Increasing gender diversity in the field of Computer Science (CS) benefits the economy as well as gender equality. However, several obstacles - including underdeveloped CS interests, lack of programming experience, and a misfit ...
Becoming a computer scientist
It is well known that women are significantly underrepresented in scientific fields in the United States, and computer science is no exception. As of 1987- 1988, women constituted slightly more than half of the U.S. population and 45% of employed ...
Gender influences on school students' mental models of computer science: a quantitative rich picture analysis with sixth graders
GenderIT '18: Proceedings of the 4th Conference on Gender & ITDespite great efforts, women are underrepresented in computer science and other science, technology, engineering, and mathematics disciplines. To understand the root of this we studied 112 high school students (51 female, 61 male) aged between 10 to 13 ...
Comments
Information & Contributors
Information
Published In
April 2015
68 pages
ISBN:9781450335966
DOI:10.1145/2807565
Copyright © 2015 ACM.
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 the author(s) 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].
In-Cooperation
- University of Pennsylvania: University of Pennsylvania
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 April 2015
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Conference
GenderIT '15
Acceptance Rates
Overall Acceptance Rate 39 of 55 submissions, 71%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 127Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)2
Reflects downloads up to 04 Oct 2024
Other Metrics
Citations
Cited By
View all- Ott L(2018)Combatting Stereotypes in Computing Using Personality Type2018 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2018.8658710(1-5)Online publication date: Oct-2018
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in