IT education as a factor to influence gender imbalances in computing: Comparing Russian and American experience.
https://doi.org/10.17853/1994-5639-2020-8-189-206
Abstract
Introduction. The problem of the relatively small number of women professionally employed in computing (computer science and information technology) is relevant throughout the world. Despite the fact that IT professionals are widely in demand, women in many countries, including theUSA andRussia, make up no more than a quarter of their total number, which requires explanation. One of the major reasons for this phenomenon, according to the authors, lies in the education system.
The aim of this article was to analyse the factors affecting gender imbalance in IT professions, by comparing two countries in which information technology has historically played an important role, and which are very different from each other in many ways – economic, political, educational system and others.
Research methodology. The present research is based on the comparison of data on IT education in schools and universities, and the degree of involvement of girls and women in computing in theUSA andRussia.
Results. Both in theUSA and inRussia, gender imbalances in IT professions are formed largely in the field of education. Cultural stereotypes about computing as a male-dominated profession are produced by the media. Such stereotypes can discourage some girls and young women from studying computer science and also result in imbalance formation. The education system needs to increase the confidence of girls and young women in the possibilities of realising their abilities in the field of computer science and information technologies. Educational institutions should help to eliminate the negative attitude towards girls’ choice of IT professions.
Scientific novelty. For the first time, general factors in the field of education were identified that affect gender imbalances among IT professionals inRussia and theUSA – the countries with significantly different traditions and educational systems.
Practical significance of the present work is to justify the conditions for improving school and university education to solve the problem of gender inequality in IT industry.
About the Authors
E. K. Khenner
Perm State National Research University
Russian Federation
Russian Federation
Evgeniy K. Khenner – Dr. Sci. (Phys.-Math.), Professor, Department of Information Technology, Perm State National Research University; Corresponding Member of the Russian Academy of Education
Perm
C. Frieze
Carnegie Mellon University
United States
United States
Carol Frieze – Dr. Sci. (Philosophy), Director of Professional Organisations SCS4ALL and Women@SCS, School of Computer Science
Pittsburgh
O. Zane
Carnegie Mellon University
United States
United States
Olivia Zane – Administrative Assistant and Outreach Coordinator of Professional Organisations SCS4ALL and Women@SCS, School of Computer Science
Pittsburgh
References
1. Fayer S., Lacey A., Watson A. STEM occupations: Past, present, and future [Internet]. Washington D.C.: U.S. Bureau of Labor Statistics; 2017 Jan [cited 2020 Jun 10]. 35 p. Available from: https://digitalcommons.ilr.cornell.edu/key_workplace/1923/
2. Dubow W., Gonzalez J. J. NCWIT scorecard: The status of women in technology [Internet]. Boulder, CO: NCWIT; 2020 [cited 2020 Jun 9]. 12 p. Available from: https://www.ncwit.org/sites/default/files/resources/ncwit_executive_summary_scorecard_05132019.pdf
3. Zweben S., Bizot B. 2018 Taulbee Survey [Internet]. Washington D.C.: Computing Research Association; 2018 [cited 2020 Jun 12]. 72 p. Available from: https://cra.org/wp-content/uploads/2019/05/2018_Taulbee_Survey.pdf
4. Pugach V. F. Gender structure of higher education teaching staff in Russia. Vysshee obrazovanie v Rossii = Higher Education in Russia. 2015; 24 (12): 78–88. (In Russ.)
5. Bosova L., Pavlov D. Informatics in primary school: Comparison of the Russian experience with the materials of the International Challenge Bebras. Informatika v shkole = Informatics in School. 2019; 1(1); 50–60. (In Russ.)
6. Khenner E., Semakin I. School subject Informatics (Computer Science) in Russia: Educational relevant areas. ACM Transactions on Computing Education [Internet]. 2014 June [cited 2020 Jun 20]; 14 (2): 14: 1–10. Available from: https://dl.acm.org/doi/10.1145/2602489
7. Lapchik M. P., Ragulina M. I., Semakin I. G., Khenner E. K. Methods of teaching computer science. 3rd edition. St. Petersburg: Publishing House Lan’; 2018. 392 p. (In Russ.)
8. Margolis J., Fisher A. Unlocking the clubhouse: Women in computing. Cambridge, MA: MIT Press; 2002. 184 p.
9. Frieze C., Quesenberry J. Kicking butt in computer science: Women in computing at Carnegie Mellon University. Indianapolis, IN: Dog Ear Publishing; 2015. 142 p.
10. Khenner E. Women in computing: The situation in Russia. In: Frieze C., Quesenberry J. (eds). Cracking the digital ceiling: Women in computing around the world. Cambridge, UK: Cambridge University Press; 2019. p. 246– 260. DOI: 10.1017/9781108609081
11. Camp T. The incredible shrinking pipeline. Communications of the ACM. 1997 Oct; 40 (10): 103–110.
12. Desvaux G., Devillard-Hoellinger S., Baumgarten P. Women matter: Gender diversity, a corporate performance driver [Internet]. New York City: McKinsey & Company; 2007 Oct 1 [cited 2020 Jun 2012]. 28 p. Available from: https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Organization/Our%20Insights/Gender%20diversity%20a%20corporate%20performance%20driver/Gender%20diversity%20a%20corporate%20performance%20driver.pdf
13. Bach D. How to interest girls in computer science and engineering? Shift the stereotypes. 2015 Feb 11 [cited 18 Feb 2020]. In: UW News [Internet]. Seattle: University of Washington. Available from: https://www.washington.edu/news/2015/02/11/how-to-interest-girls-in-computer-science-and-engineering-shift-the-stereotypes/
14. Savinskaya O. B. Gender equality in STEM-programs of preschool education as a factor of Russia’s successful technological development. Zhenshhina v rossijskom obshchestve = Woman in Russian Society. 2016. 3: 16–24. DOI: 10.21064/WinRS.2016.3.2 (In Russ.)
15. Savostina E. A., Smirnova I. N., Khasbulatova O. A. STEM: Professional trajectory of the youth (Gender aspect). Zhenshhina v rossijskom obshchestve = Woman in Russian Society [Internet]. 2017 [cited 2020 Jun 20]; 3 (84): 33–44. Available from: https://womaninrussiansociety.ru/article/savostina-e-asmirnova-i-n-khasbulatova-o-a-stem-professional-trajections-of-the-youthgender-aspect-p-33-44/DOI:10.21064/WinRS.2017.3.3 (In Russ.)
16. Fine C. Delusions of gender. New York City: W.W. Norton & Company; 2010. 338 p.
17. Stephens-Davidowitz S. Google, tell me. Is my son a genius? The New York Times [Internet]. 2014 Jan 18 [cited 15 Jun 2020]; Opinion. Available from:http://www.nytimes.com/2014/01/19/opinion/sunday/google-tell-me-is-myson-a-genius.html?hp&rref=opinion&_r=1
18. Cobb Payton F., Berki E. Countering the negative image of women in computing. Communications of the ACM [Internet]. 2019 May [cited 2020 Jun 11]; 62 (5): 56–63. Available from: https://cacm.acm.org/magazines/2019/5/236409-countering-the-negative-image-of-women-incomputing/fulltext
19. Spieler B., Oates-Indruchova L., Slany W. Female teenagers in computer science education: Understanding Stereotypes, negative impacts, and positive motivation. Journal of Women and Minorities in Science and Engineering [Internet]. 2019 Mar [cited 2020 Jun 11]: 27. Available from: https://arxiv.org/ abs/1903.01190
20. Frieze C., Quesenberry J. Cracking the digital ceiling: Women in computing around the world. In: Frieze C., Quesenberry J. (eds.). Cambridge, UK: Cambridge University Press; 2019. 356 p. DOI: 10.1017/9781108609081
21. Varma R. Lessons from India. In: Frieze C., Quesenberry J. (eds). Crackingthedigitalceiling: womenincomputingaroundtheworld. Cambridge, UK: Cambridge University Press; 2019. p. 299-310. DOI: 10.1017/9781108609081
22. Thébaud S., Charles M. Segregation, stereotypes, and STEM. Social Sciences [Internet]. 2018 July [cited 2020 Jun 10]; 7 (111): 1–17. Available from:https://www.mdpi.com/2076-0760/7/7/111/htmc
23. Savinskaya O. B., Mkhitaryan T. A. STEM as girls’ professional choice: Achievements, self-esteem, and hidden curriculum. Zhenshhina v rossijskom obshchestve = Woman in Russian Society [Internet]. 2018 [cited 2020 Jun 20]; 3: 34–48. Available from: https://womaninrussiansociety.ru/article/savinskaya-o-b-mkhitaryan-t-a-stem-as-girls-professional-choice-achievements-self-esteem-and-hidden-curriculum/ DOI: 10.21064/WinRS.2018.3.4 (In Russ.)
24. Wong A. The U.S. Teaching population is getting bigger, and more female. The Atlantic [Internet]. 2019 Feb 20 [cited 2020 Jun 14]; Education. Available from: https://www.theatlantic.com/education/archive/2019/02/ the-explosion-of-women-teachers/582622/
25. Matlin M. Bimbos and Rambos: The cognitive basis of gender stereotypes. Eye on Psi Chi [Internet]. 1999 winter [cited 2020 Jun 11]; 3 (2): 13–14. Available from: https://www.psichi.org/page/032EyeWin99aMatlin#.XufVrJ5KiqA
26. Cheryan S., Plaut V., Handron C., Hudson L. The stereotypical computer scientist: Gendered media representations as a barrier to inclusion for women. Sex Roles [Internet]. 2013 [cited 2020 Jun 16]; 69: 58–71. Available from: https://depts.washington.edu/sibl/Publications/Cheryan,%20Plaut,%20Handron,%20&%20Hudson,%202013.pdf
27. Othman M., Latih R. How the perception of young Malaysians toward science and mathematics influences their decision to study computer science. In: Frieze C., Quesenberry J. (eds.). Cracking the digital ceiling: Women in computing around the world. Cambridge, UK: Cambridge University Press; 2019. p. 276–289.
28. Hazzan O., Nativ-Ronen E., Umansky T. A gender perspective on computer science education in Israel. In: Frieze C., Quesenberry J. (eds.). Cracking the digital ceiling: Women in computing around the world. Cambridge, UK: Cambridge University Press; 2019. p. 90–103. DOI: 10.1017/9781108609081
29. Blum L., Frieze C. The evolving culture of computing: Similarity is the difference. Frontiers [Internet]. 2005 [cited 2020 June 15]; 26 (1): 110–125. Available from: https://muse.jhu.edu/issue/9832 DOI:10.1353/fro.2005.0002
30. Bullock C. Why is Russia so good at encouraging women into tech? [Internet]. 2017 Apr 21 [cited 2020 Jun 12]. Available from: https://www.bbc.com/news/business-39579321
31. Johnson M. What happened when YouTube CEO Susan Wojcicki’s daughter said she ‘hated’ computers. BizWomen [Internet]. 2015 Oct 15 [cited 2020 Jun 20]; News. Available from: https://www.bizjournals.com/bizwomen/news/latest-news/2015/10/what-happened-when-youtube-ceo-susanwojcickis.html?page=all
Review
For citations:
Khenner E.K., Frieze C., Zane O. IT education as a factor to influence gender imbalances in computing: Comparing Russian and American experience. The Education and science journal. 2020;22(8):189-206. https://doi.org/10.17853/1994-5639-2020-8-189-206
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