skip to main content
article

Gender differences in computer science students

Published:11 January 2003Publication History
Skip Abstract Section

Abstract

We examined gender differences and differences in Computer Science (CS) majors vs. non-majors in ability in quantitative areas, educational goals and interests, experience with computers, stereotypes and knowledge about CS, confidence, personality, support and encouragement, stress and financial issues, gender discrimination, and attitudes toward the academic environment in CS. What is unique to this investigation is its multivariate nature. While others have studied these variables in isolation, our study looks at them collectively to identify important interactions among variables. This will eventually allow us to identify a profile of women who pursue careers in CS. The findings are reported in detail below. Particularly noteworthy is that men had more confidence in using computers than did women even when statistically controlling quantitative ability. In fact, female CS majors had less computer confidence than did male non-majors.

References

  1. Beyer, S. Gender Differences in the Accuracy of Self evaluations of Performance. Journal of Personality and Social Psychology 59 (1990), 960--970.Google ScholarGoogle ScholarCross RefCross Ref
  2. Beyer, S. Maternal Employment and Children's Academic Achievement: Parenting Style as Mediating Variable. Developmental Review 15 (1995), 212--253.Google ScholarGoogle ScholarCross RefCross Ref
  3. Beyer, S. Gender Differences in Self-perception and Negative Recall Biases. Sex Roles 38 (1998), 103--133.Google ScholarGoogle Scholar
  4. Beyer, S. The Accuracy of Academic Gender Stereotypes. Sex Roles 40 (1999a) 787--813.Google ScholarGoogle ScholarCross RefCross Ref
  5. Beyer, S. Gender Differences in the Accuracy of Grade Expectancies and Evaluations. Sex Roles 41 (1999b), 279--296.Google ScholarGoogle ScholarCross RefCross Ref
  6. Beyer, S. The Accuracy of Self-evaluations of Females, Males, Dysphorics, and Nondysphorics in Subject Areas of Varying Gender-type. Manuscript submitted for publication (2002).Google ScholarGoogle Scholar
  7. Beyer, S. The Effects of Gender, Dysphoria, and Performance Feedback on the Accuracy of Self-evaluations. Sex Roles (in press).Google ScholarGoogle Scholar
  8. Beyer, S. and Bowden E. M. Gender Differences in Self-perceptions: Convergent Evidence from Three Measures of Accuracy and Bias. Personality and Social Psychology Bulletin 23 (1997), 157--172.Google ScholarGoogle ScholarCross RefCross Ref
  9. Beyer, S., Chavez, M., and Rynes, K. Gender Differences in Attitudes toward and Confidence in Computer Science. Paper presented at the annual meeting of the Midwestern Psychological Association, Chicago, IL. (2002, May).Google ScholarGoogle Scholar
  10. Beyer, S., Rynes, K., Chavez, M., Hay, K., and Perrault, J. Why are There so Few Women in Computer Science? Paper presented at the annual meeting of the American Psychological Society, New Orleans, LA. (2002, June).Google ScholarGoogle Scholar
  11. Cohoon, J. M. Recruiting and Retaining Women in Undergraduate Computing Majors. SIGCSE Bulletin 34(2) (June 2002), 48--52. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Cross, S. E. and Madson, L. Elaboration of Models of the Self: Reply to Baumeister and Sommer (1997) and Martin and Ruble (1997). Psychological Bulletin 122 (1997), 51--55.Google ScholarGoogle ScholarCross RefCross Ref
  13. Hecker, D. E. Occupational Employment Projections to 2010. Monthly Labor Review (November 2001), 57--84.Google ScholarGoogle Scholar
  14. Henwood, F. Exceptional women? Gender and Technology in U.K. Higher Education. IEEE Technology and Society Magazine (1999/2000), 21--27.Google ScholarGoogle Scholar
  15. Inzlicht, M. and Ben-Zeev, T. A Threatening Intellectual Environment: Why Females are Susceptible to Experiencing Problem-Solving Deficits in the Presence of Males. Psychological Science 11 (2000), 365--371.Google ScholarGoogle ScholarCross RefCross Ref
  16. Jepson, A., and Perl, T. Priming the Pipeline. SIGCSE Bulletin 36(2) (June 2002), 36--39. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. John, O. P. and Robins, R. W. Determinants of Interjudge Agreement on Personality Traits: The Big Five Domains, Observability, Evaluativeness, and the Unique Perspective of the Self. Journal of Personality 61 (1993), 521--551.Google ScholarGoogle ScholarCross RefCross Ref
  18. Margolis, J. and Fisher, A. Geek Mythology and Attracting Undergraduate Women to Computer Science. Impacting Change through Collaboration. Proceedings of the Joint National Conference of the Women in Engineering Program Advocates Network and the National Association of Minority Engineering Program Administrators (1997).Google ScholarGoogle Scholar
  19. Margolis, J., Fisher, A., and Miller, F. The Anatomy of Interest: Women in Undergraduate Computer Science. Women's Studies Quarterly 28 (2000), 104--127.Google ScholarGoogle Scholar
  20. Markus, H. R. and Kitayama, S. Culture and the Self: Implications for Cognition, Emotion, and Motivation. Psychological Review 98 (1991), 224--253.Google ScholarGoogle Scholar
  21. Rasmussen, B. and Hapnes, T. Excluding Women from the Technologies of the Future? A Case Study of the Culture of Computer Science. Futures 23 (1991), 1107--1119.Google ScholarGoogle ScholarCross RefCross Ref
  22. Seymour, E. and Hewitt, N. M. Talking about Leaving: Factors Contributing to High Attrition Rates among Science, Mathematics, and Engineering Undergraduate Major (1994) Boulder: University of Colorado.Google ScholarGoogle Scholar
  23. U.S. Department of Education, National Center for Education Statistics. Digest of Education Statistics 1999 (2000).Google ScholarGoogle Scholar
  24. Zubrow, D. How Computing Attitudes Change during the Freshman Year. In S. Kiesler & L. Sproull (Eds.), Computing and Change on Campus (pp. 195--211) (1987). New York: Cambridge.Google ScholarGoogle Scholar

Index Terms

  1. Gender differences in computer science students

    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

    Full Access

    • Published in

      cover image ACM SIGCSE Bulletin
      ACM SIGCSE Bulletin  Volume 35, Issue 1
      January 2003
      406 pages
      ISSN:0097-8418
      DOI:10.1145/792548
      Issue’s Table of Contents
      • cover image ACM Conferences
        SIGCSE '03: Proceedings of the 34th SIGCSE technical symposium on Computer science education
        February 2003
        444 pages
        ISBN:158113648X
        DOI:10.1145/611892

      Copyright © 2003 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 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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 11 January 2003

      Check for updates

      Qualifiers

      • article

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader