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Gender Gap in Academia: Perceptions of Female Computer Science Academics

Published:22 June 2015Publication History

ABSTRACT

Despite increased attention from Universities and Industry, the low representation of female students in Computer Science undergraduate degrees remains a major issue. Recognising this issue, leading tech companies have established strong and committed diversity initiatives but have only reached up to 17\% female representation in their tech departments. The causes of the reduced attraction and retention of female students are varied and have been widely studied, advancing the understanding of why female students do not take up or leave Computer Science. However, few analyses look at the perceptions of the females that have stayed in the field. In this paper, we explore the viewpoints of female academics and postgraduate students in Computer Science with various undergraduate backgrounds and pathways into academia. Our analysis of their interviews shows the influence of family, exposure, culture, sexism and gendered thought on their perceptions of the field, and of themselves and their peers. We identify that perceptions of identity conflict and a lack of belonging to the discipline persist even for these high-performing professionals.

References

  1. Apple, Inc. Inclusion inspires innovation. https://www.apple.com/diversity/, 2015. Last accessed January 2015.Google ScholarGoogle Scholar
  2. A. Bandura. Self-efficacy. Wiley Online Library, 1994.Google ScholarGoogle Scholar
  3. A. Berglund and M. Wiggberg. Students learn cs in different ways: Insights from a empirical study. In Proceedings of iTiCSE'06, pages 265--269, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. J. Ceci and W. M. Williams. Sex differences in math-intensive fields. Current Directions in Psychological Science, page 0963721410383241, 2010.Google ScholarGoogle Scholar
  5. S. Cheryan, V. C. Plaut, P. G. Davies, and C. M. Steele. Ambient belonging: how stereotypical cues impact gender participation in computer science. Journal of personality and social psychology, 97(6):1045, 2009.Google ScholarGoogle Scholar
  6. P. R. Clance and S. A. Imes. The imposter phenomenon in high achieving women: Dynamics and therapeutic intervention. Psychotherapy: Theory, Research & Practice, 15(3):241, 1978.Google ScholarGoogle Scholar
  7. J. S. Eccles, A. Wigfield, and U. Schiefele. Motivation to succeed. 1998.Google ScholarGoogle Scholar
  8. Facebook, Inc. Building a more diverse facebook. http://newsroom.fb.com/news/2014/06/building-a-more-diverse-facebook/, 2015. Last accessed January 2015.Google ScholarGoogle Scholar
  9. M. F. Fox. Women and men faculty in academic science and engineering: Social-organizational indicators and implications. American Behavioral Scientist, 53(7):997--1012, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  10. H. K. Gediman. Imposture, inauthenticity, and feeling fraudulent. Journal of the American Psychoanalytic Association, 1985.Google ScholarGoogle Scholar
  11. Google, Inc. Our workforce demographics. http://www.google.com.au/diversity/at-google.html\#tab=tech, 2015. Last accessed January 2015.Google ScholarGoogle Scholar
  12. S. A. Hewlett et al. The Athena factor: Reversing the brain drain in science, engineering, and technology. Harvard Business School Watertown, MA, 2008.Google ScholarGoogle Scholar
  13. L. Joy, N. M. Carter, H. M. Wagner, and S. Narayanan. The bottom line: Corporate performance and women-ôs representation on boards. Catalyst, 3, 2007.Google ScholarGoogle Scholar
  14. M. Klawe, T. Whitney, and C. Simard. Women in computing--take 2. Communications of the ACM, 52(2):68--76, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. S. Lewis, C. Lang, and J. McKay. An inconvenient truth: The invisibility of women in ict. Australasian Journal of Information Systems, 15(1), 2008.Google ScholarGoogle ScholarCross RefCross Ref
  16. J. Margolis and A. Fisher. Unlocking the clubhouse: Women in computing. MIT press, 2003.Google ScholarGoogle Scholar
  17. I. Miliszewska, G. Barker, F. Henderson, and E. Sztendur. The issue of gender equity in computer science--what students say. Journal of Information Technology Education: Research, 5(1):107--120, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  18. P. Moorman and E. Johnson. Still a stranger here: Attitudes among secondary school students towards computer science. In ACM SIGCSE Bulletin, volume 35, pages 193--197. ACM, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. B. Nelson. The data on diversity. Communications of the ACM, 57(11):86--95, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. C. on Maximizing the Potential of Women in Academic Science, E. (US), C. on Science, and P. P. (US). Beyond bias and barriers: fulfilling the potential of women in academic science and engineering. Natl Academy Pr, 2007.Google ScholarGoogle Scholar
  21. M. R. Roberts, T. J. McGill, and P. N. Hyland. Attrition from australian ict degrees: why women leave. In Proceedings of the Fourteenth Australasian Computing Education Conference-Volume 123, pages 15--24. Australian Computer Society, Inc., 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. M. Sandelowski. Sample size in qualitative research. Research in Nursing & Health, 18(2):179--183, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  23. E. Seymour and N. M. Hewitt. Talking about leaving: Why undergraduates leave the sciences, volume 12. Westview Press Boulder, CO, 1997.Google ScholarGoogle Scholar
  24. C. M. Steele. Whistling vivaldi: And other clues to how stereotypes affect us (issues of our time) author: Claude m. steele, publisher. 2010.Google ScholarGoogle Scholar
  25. E. M. Trauth, S. Nielsen, and L. Von Hellens. Explaining the it gender gap: Australian stories for the new millennium. Journal of research and practice in information technology, 35(1):7--20, 2003.Google ScholarGoogle Scholar
  26. V. Valian. Why so slow?: The advancement of women. MIT press, 1999.Google ScholarGoogle ScholarCross RefCross Ref
  27. M. Volman and E. van Eck. Gender equity and information technology in education: The second decade. Review of Educational Research, 71(4):613--634, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  28. A. W. Woolley, C. F. Chabris, A. Pentland, N. Hashmi, and T. W. Malone. Evidence for a collective intelligence factor in the performance of human groups. Science, 330(6004):686--688, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  29. Y. Zhang and B. Wildemuth. Application of social research methods to questions in information and library science, chapter Qualitative analysis of content, pages 308--319. Westport Conn: Libraries Unlimited, 2009.Google ScholarGoogle Scholar
  30. S. Zweben and B. Bizot. 2013 taulbee survey. COMPUTING, 26(5), 2014.Google ScholarGoogle Scholar

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      • 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 ACM

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        • Published: 22 June 2015

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