Take a look at the new version of this page: [ beta version ]. Tell us what you think.

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: Alison Adam, Constructions of Gender in the History of Artificial Intelligence, IEEE Annals of the History of Computing, v.18 n.3, p.47-53, September 1996 [doi>10.1109/85.511944]
• 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 >
• 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.
• 4: Amita Goyal, Women in Computing: Historical Roles, the Perpetual Glass Ceiling, and Current Opportunities, IEEE Annals of the History of Computing, v.18 n.3, p.36-42, September 1996 [doi>10.1109/85.511942]
• 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.

INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.2 Computer and Information Science Education
          Subjects: Computer science education

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human factors

  K. Computing Milieux
  K.4 COMPUTERS AND SOCIETY

General Terms:
Human Factors