skip to main content
10.1145/2729094.2742611acmconferencesArticle/Chapter ViewAbstractPublication PagesiticseConference Proceedingsconference-collections
research-article
Open Access

Gender Differences in Factors Influencing Pursuit of Computer Science and Related Fields

Published:22 June 2015Publication History

ABSTRACT

Increasing women's participation in computer science is a critical workforce and equity concern. The technology industry has committed to reversing negative trends for women in computer science as well as engineering and information technology "computing" fields. Building on previously published research, this paper identifies factors that influence young women's decisions to pursue computer science-related degrees and the ways in which these factors differ for young men. It is based on a survey of 1,739 high school students and recent college graduates. Results identified encouragement and exposure as the leading factors influencing this critical choice for women, while the influence of these factors is different for men. In particular, the influence of family is found to play a critical role in encouragement and exposure, and outreach efforts should focus on ways to engage parents.

References

  1. Anderson, J. A. (1982). Logistic regression. Handbook of Statistics. North-Holland, New York, 169--191. Retrieved from http://www.schatz.sju.edu/multivar/guide/Logistic.pdfGoogle ScholarGoogle Scholar
  2. Achtenhagen, L., Johansson, A., & Picard, R. (2007). The Promotion of Entrepreneurship in the Audio-Visual Media (esp. TV): Final Report for the European Commission, Enterprise and Industry Directorate-General. Retrieved from http://ec.europa.eu/enterprise/policies/sme/files/support_measures/av/media_study_en.pdfGoogle ScholarGoogle Scholar
  3. Barth, J., Todd, B., Goldston, D., & Guadagno, R. (2010). An Integrated Approach to Choosing Technical Careers: Gender Differences in Life Goals for College Students.Google ScholarGoogle Scholar
  4. Benyo, J., & White, J. (2009). New Image for Computing: Report on Market Research. Boston, MA: WGBH Educational Foundation and the Association for Computing Machinery. Retrieved from http://www.zephoria.org/files/NICReport.pdfGoogle ScholarGoogle Scholar
  5. Bhanot, R.T. & Jovanovic, J. (2009). The Links Between Parent Behaviors and Boys' and Girls' Science Achievement Beliefs. Applied Developmental Science. Philadelphia, PA. 42--59.Google ScholarGoogle Scholar
  6. Dabney, K. P., Chakraverty, D., & Tai, R. H. (2013). The Association of Family Influence and Initial Interest in Science. Science Education, 97(3), 395--409.Google ScholarGoogle ScholarCross RefCross Ref
  7. Fan, X. & Chen, M. (2001). Parental Involvement and Students' Academic Achievement: A Meta-Analysis. Retrieved from http://rd.springer.com/article/10.1023/A:1009048817385Google ScholarGoogle Scholar
  8. Fisher, A., & Margolis, J. (2002). Unlocking the Clubhouse: the Carnegie Mellon Experience. ACM SIGCSE Bulletin, 34(2), 79--83. Retrieved from http://dl.acm.org/citation.cfm?id=543836 Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Fox, M. F., & Firebaugh, G. (1992). Confidence in Science: The Gender Gap. Social Science Quarterly.Google ScholarGoogle Scholar
  10. H. H. Harman. (1976). Modern factor analysis. Chicago, IL: University of Chicago Press.Google ScholarGoogle Scholar
  11. Hill, C., Corbett, C., & St Rose, A. (2010). Why So Few? Women in Science, Technology, Engineering, and Mathematics. Washington, DC: American Association of University Women. Retrieved from http://files.eric.ed.gov/fulltext/ED509653.pdfGoogle ScholarGoogle Scholar
  12. Ing, M. (2014). Can Parents Influence Children's Mathematics Achievement and Persistence in STEM Careers?. Journal of Career Development, 41(2), 87--103. Retrieved from http://jcd.sagepub.com/content/41/2/87Google ScholarGoogle ScholarCross RefCross Ref
  13. Jacobs, J. E., & Bleeker, M. M. (2004). Girls' and Boys' Developing Interests in Math and Science: Do Parents Matter? New Directions for Child and Adolescent Development. 5-21.Google ScholarGoogle ScholarCross RefCross Ref
  14. Lent, R. W., Brown, S. D., & Larkin, K. C. (1986). Self-efficacy in the Prediction of Academic Performance and Perceived Career Options. Journal of Counseling Psychology, 33(3), 265.Google ScholarGoogle ScholarCross RefCross Ref
  15. Miller, J. D., & Kimmel, L. G. (2012). Pathways to a STEMM Profession. Peabody Journal of Education, 87(1), 26--45.Google ScholarGoogle ScholarCross RefCross Ref
  16. National Science Foundation. (2012). Science and Engineering Indicators 2012. Washington, DC. Retrieved from http://www.nsf.gov/statistics/seind12/c0/c0i.htmGoogle ScholarGoogle Scholar
  17. National Center for Education Statistics (2012). Degrees conferred by degree-granting institutions. Washington, DC. Retrieved from http://nces.ed.gov/programs/digest/d12/tables/dt12_318.aspGoogle ScholarGoogle Scholar
  18. O'brien, V., Martinez-Pons, M., & Kopala, M. (1999). Mathematics Self-efficacy, Ethnic Identity, Gender, and Career Interests Related to Mathematics and Science. The Journal of Educational Research, 92(4), 231--235.Google ScholarGoogle ScholarCross RefCross Ref
  19. Page, S. E. (2008). The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. Princeton University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Shashaani, L. (1994). Gender-differences in Computer Experience and Its Influence on Computer Attitudes. Journal of Educational Computing Research,11(4), 347--367.Google ScholarGoogle ScholarCross RefCross Ref
  21. Sonnert, G. (2009). Parents Who Influence Their Children to Become Scientists: Effects of Gender and Parental Education. Social Studies of Science. 927--941. Retrieved from http://sss.sagepub.com/content/39/6/927Google ScholarGoogle ScholarCross RefCross Ref
  22. Stake, J. E. (2006). The Critical Mediating Role of Social Encouragement for Science Motivation and Confidence Among High School Girls and Boys. Journal of Applied Social Psychology, 36(4), 1017--1045.Google ScholarGoogle ScholarCross RefCross Ref
  23. Wilson, B. C. (2002). A Study of Factors Promoting Success in Computer Science including Gender Differences. Computer Science Education, 12(1--2), 141--164.Google ScholarGoogle Scholar

Index Terms

  1. Gender Differences in Factors Influencing Pursuit of Computer Science and Related Fields

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        ITiCSE '15: Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education
        June 2015
        370 pages
        ISBN:9781450334402
        DOI:10.1145/2729094

        Copyright © 2015 Owner/Author

        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 22 June 2015

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        ITiCSE '15 Paper Acceptance Rate54of124submissions,44%Overall Acceptance Rate552of1,613submissions,34%

        Upcoming Conference

        ITiCSE 2024

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader