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Gender stereotyping in a computer science course

Published:01 March 1999Publication History

ABSTRACT

Stereotypes often assume an implicit role in many gender studies. This paper describes a study in which the internal validity of gender stereotypes in a computing course is explored. Students' self-perceptions and common research positions in the literature are compared to these stereotypes. The study offers results different from most located in the literature. Further work is therefore suggested by the outcomes of this research to determine if this represents a favourable shift in the way in which women approach the discipline.

References

  1. 1.Adam, A., 1996. Constructions of Gender in the History of Artificial Intelligence. IEEE Annals of the History of Computing, vol. 18, no. 3, pp. 47-53 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.Chua, K., Debreceny, R., and Ellis, A., 1995. Networked Learning: Some Issues in Implementation at Southern Cross University. <http ://ascili te95. un ime lb. edu. au: 80/SMTU/A S CILITE 95/pap e rs/Chua.pdf >Google ScholarGoogle Scholar
  3. 3.Dougherty, K., 1994. Calculating Women: A Brief History of the LRWE/WRE Computing Team. Satellite Communications: Proceedings of the 9th National Space Engineering Symposium.Google ScholarGoogle Scholar
  4. 4.Goyal, A., 1996. Women in Computing: Historical Roles, the Perpetual Glass Ceiling, and Current Opportunities. IEEE Annals of the History of Computing. vol. 18, no. 3. pp. 36-42 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.Kay, J., Lublin, J., Poiner, G., and Prosser, M., 1987. Not Even Well Begun: Women in Computing Courses. Basser Department of Computer Science Technical Report 309.Google ScholarGoogle Scholar

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        • Published in

          cover image ACM Conferences
          SIGCSE '99: The proceedings of the thirtieth SIGCSE technical symposium on Computer science education
          March 1999
          383 pages
          ISBN:1581130856
          DOI:10.1145/299649
          • Chairmen:
          • Jane Prey,
          • Bob Noonan

          Copyright © 1999 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 March 1999

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          SIGCSE '99 Paper Acceptance Rate70of190submissions,37%Overall Acceptance Rate1,595of4,542submissions,35%

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