ABSTRACT
Stereotypes of computer scientists are relevant to students' performance and feelings of belonging. While efforts exist to change these stereotypes, we argue that it may be possible to challenge a student's belief that stereotypes of computer scientists are relevant to whether they can become a computer scientist. In our previous work, we presented a model of five factors that influence students' decisions to major in computer science (CS). Data were collected from interviews with 31 students enrolled in introductory CS courses at two public universities in the United States. Here we elaborate on our grounded theory of one of these factors: how students assess their fit with CS. We describe how students measure their fit with CS in terms of the amount they see themselves as expressing the traits of singular focus, asocialness, competition, and maleness and how students make interpretations and decisions based upon these measurements. We found that students' interpretations were influenced by their attitudes toward the nature of stereotypes.
- J. Acker. Inequality regimes gender, class, and race in organizations. Gender & society, 20(4):441--464, 2006.Google ScholarCross Ref
- K. L. Ashcraft and C. Ashcraft. Breaking the "glass slipper": What diversity interventions can learn from the historical evolution of occupational identity in ICT and commercial aviation. In Connecting women, pages 137--155. Springer, 2015.Google ScholarCross Ref
- L. J. Barker, C. McDowell, and K. Kalahar. Exploring factors that influence computer science introductory course students to persist in the major. In ACM SIGCSE Bulletin, volume 41, pages 153--157. ACM, 2009. Google ScholarDigital Library
- S. Beyer, K. Rynes, and S. Haller. Deterrents to women taking computer science courses. Technology and Society Magazine, IEEE, 23(1):21--28, 2004.Google ScholarCross Ref
- R. Boyle, J. Carter, and M. Clark. What makes them succeed? Entry, progression and graduation in computer science. Journal of Further and Higher Education, 26(1):3--18, 2002.Google ScholarCross Ref
- T. Camp. Computing, we have a problem.... ACM Inroads, 3(4):34--40, 2012. Google ScholarDigital Library
- L. Carter. Why students with an apparent aptitude for computer science don't choose to major in computer science. ACM SIGCSE Bulletin, 38(1):27--31, 2006. Google ScholarDigital Library
- 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 Scholar
- S. Cheryan, V. C. Plaut, C. Handron, and L. Hudson. The stereotypical computer scientist: Gendered media representations as a barrier to inclusion for women. Sex roles, 69(1--2):58--71, 2013.Google Scholar
- S. Cheryan, J. O. Siy, M. Vichayapai, B. J. Drury, and S. Kim. Do female and male role models who embody stem stereotypes hinder women's anticipated success in stem? Social Psychological and Personality Science, 2(6):656--664, 2011.Google ScholarCross Ref
- D. Cvencek, A. N. Meltzoff, and A. G. Greenwald. Math--gender stereotypes in elementary school children. Child development, 82(3):766--779, 2011.Google ScholarCross Ref
- D. Cvencek, N. S. Nasir, K. O'Connor, S. Wischnia, and A. N. Meltzoff. The development of math--race stereotypes:"they say chinese people are the best at math". Journal of Research on Adolescence, 25(4):630--637, 2015.Google ScholarCross Ref
- P. G. Devine. Stereotypes and prejudice: their automatic and controlled components. Journal of personality and social psychology, 56(1):5, 1989.Google Scholar
- J. D'Onfro. How this Googler is trying to shake up Hollywood's idea of who an 'engineer' is, 2015. http://www.businessinsider.com/julie-ann-crommett-cs-in-the-media-2015--10.Google Scholar
- C. S. Dweck and E. L. Leggett. A social-cognitive approach to motivation and personality. Psychological review, 95(2):256, 1988.Google ScholarCross Ref
- C. Eney and C. Hoyer. Making a difference on $10 a day: Creating a 'women in cse' seminar linked to cs1. In Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition, pages 10.905.1--10.905.10. ASEE, 2005.Google Scholar
- N. L. Ensmenger. Letting the "computer boys" take over: Technology and the politics of organizational transformation. International Review of Social History, 48(S11):153--180, 2003.Google ScholarCross Ref
- N. L. Ensmenger. The computer boys take over: Computers, programmers, and the politics of technical expertise. Mit Press, 2012. Google ScholarDigital Library
- N. L. Ensmenger. Beards, sandals, and other signs of rugged individualism: Masculine culture within the computing professions. Osiris, 30(1):38--65, 2015.Google ScholarCross Ref
- S. Fenstermaker and C. West. Doing gender, doing difference: Inequality, power, and institutional change. Psychology Press, 2002.Google Scholar
- J. Gal-Ezer, D. Shahak, and E. Zur. Computer science issues in high school: gender and more.... In ACM SIGCSE Bulletin, volume 41, pages 278--282. ACM, 2009. Google ScholarDigital Library
- C. Goodenow. Classroom belonging among early adolescent students: relationships to motivation and achievement. The Journal of Early Adolescence, 13(1):21--43, 1993.Google ScholarCross Ref
- Google for Education. Women Who Choose Computer Science - What Really Matters, 2014. https://docs.google.com/file/d/0B-E2rcvhnlQ_a1Q4VUxWQ2dtTHM/edit.Google Scholar
- Google for Education. Images of Computer Science: Perceptions Among Students, Parents and Educators in the U.S., 2015. https://services.google.com/fh/files/misc/images-of-computer-science-report.pdf.Google Scholar
- Google for Education. Searching for Computer Science: Access and Barriers in U.S. K-12 Education, 2015. https://services.google.com/fh/files/misc/searching-for-computer-science_report.pdf.Google Scholar
- P. Kinnunen and L. Malmi. Why students drop out cs1 course? In Proceedings of the second international workshop on Computing education research, pages 97--108. ACM, 2006. Google ScholarDigital Library
- P. Kinnunen and B. Simon. Building theory about computing education phenomena: a discussion of grounded theory. In Proceedings of the 10th Koli Calling International Conference on Computing Education Research, pages 37--42. ACM, 2010. Google ScholarDigital Library
- P. Kinnunen and B. Simon. My program is ok--am i? computing freshmen's experiences of doing programming assignments. Computer Science Education, 22(1):1--28, 2012.Google ScholarCross Ref
- J. Kurose. Booming undergraduate enrollments: a wave or a sea change? ACM Inroads, 6(4):105--106, 2015. Google ScholarDigital Library
- J. D. Lee. Which kids can "become" scientists? Effects of gender, self-concepts, and perceptions of scientists. Social Psychology Quarterly, pages 199--219, 1998.Google ScholarCross Ref
- S. R. Levy, S. J. Stroessner, and C. S. Dweck. Stereotype formation and endorsement: The role of implicit theories. Journal of Personality and Social Psychology, 74(6):1421, 1998.Google ScholarCross Ref
- C. M. Lewis, K. Yasuhara, and R. E. Anderson. Deciding to major in computer science: A grounded theory of students' self-assessment of ability. In Proceedings of the Seventh International Workshop on Computing Education Research, ICER '11, pages 3--10, New York, NY, USA, 2011. ACM. Google ScholarDigital Library
- J. Margolis, R. Estrella, J. Goode, J. J. Holme, and K. Nao. Stuck in the shallow end: Education, race, and computing. MIT Press, 2010. Google ScholarDigital Library
- J. Margolis and A. Fisher. Unlocking the clubhouse: Women in computing. MIT press, 2003.Google Scholar
- A. Master, S. Cheryan, and A. N. Meltzoff. Computing whether she belongs: Stereotypes undermine girls' interest and sense of belonging in computer science. Journal of Educational Psychology, 108(3):424--437, 2016.Google ScholarCross Ref
- A. Master, E. M. Markman, and C. S. Dweck. Thinking in categories or along a continuum: Consequences for children's social judgments. Child development, 83(4):1145--1163, 2012.Google ScholarCross Ref
- C. McKown and M. J. Strambler. Developmental antecedents and social and academic consequences of stereotype-consciousness in middle childhood. Child Development, 80(6):1643--1659, 2009.Google ScholarCross Ref
- T. J. Misa. Gender codes: Why women are leaving computing. John Wiley & Sons, 2011.Google Scholar
- National Center for Women and Information Technology and Televisa Foundation. TECHNOLOchicas, 2015. technolochicas.org.Google Scholar
- K. Redmond, S. Evans, and M. Sahami. A large-scale quantitative study of women in computer science at Stanford University. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education, SIGCSE '13, pages 439--444, New York, NY, USA, 2013. ACM. Google ScholarDigital Library
- E. Roberts. A History of Capacity Challenges in Computer Science, 2016. http://cs.stanford.edu/people/eroberts/CSCapacity.pdf.Google Scholar
- E. S. Roberts. Meeting the challenges of rising enrollments. ACM Inroads, 2(3):4--6, 2011. Google ScholarDigital Library
- T. Schmader, M. Johns, and C. Forbes. An integrated process model of stereotype threat effects on performance. Psychological review, 115(2):336, 2008.Google ScholarCross Ref
- A. Sfard and A. Prusak. Telling identities: In search of an analytic tool for investigating learning as a culturally shaped activity. Educational researcher, 34(4):14--22, 2005.Google ScholarCross Ref
- C. M. Steele. A threat in the air: How stereotypes shape intellectual identity and performance. American psychologist, 52(6):613, 1997.Google ScholarCross Ref
- J. Stout and B. Tamer. Collaborative learning eliminates the negative impact of gender stereotypes on women's self-concept. In Proceedings for the Annual Meeting of the American Society for Engineering Education., 2016.Google ScholarCross Ref
- A. Strauss, J. Corbin, et al. Basics of qualitative research, volume 15. Newbury Park, CA: Sage, 1990.Google Scholar
- The Coalition to Diversify Computing. Resources. http://www.cdc-computing.org/resources/.Google Scholar
- V. Tinto. Leaving college: Rethinking the causes and cures of student attrition. ERIC, 1987.Google Scholar
- N. Veilleux, R. Bates, C. Allendoerfer, D. Jones, J. Crawford, and T. Floyd Smith. The relationship between belonging and ability in computer science. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education, SIGCSE '13, pages 65--70, New York, NY, USA, 2013. ACM. Google ScholarDigital Library
- L. Williams, R. R. Kessler, W. Cunningham, and R. Jeffries. Strengthening the case for pair programming. IEEE software, 17(4):19, 2000. Google ScholarDigital Library
- Women In Computing Seminar. http://courses.cs.washington.edu/courses/cse190a/.Google Scholar
- Women In Computing Seminar Syllabus, 2009. http://courses.cs.washington.edu/education/courses/cse190a/09au/190a_syllabus_au09.doc.Google Scholar
- D. Yeager, G. Walton, and G. L. Cohen. Addressing achievement gaps with psychological interventions. Phi Delta Kappan, 94(5):62--65, 2013.Google ScholarCross Ref
- D. S. Yeager, R. Johnson, B. J. Spitzer, K. H. Trzesniewski, J. Powers, and C. S. Dweck. The far-reaching effects of believing people can change: Implicit theories of personality shape stress, health, and achievement during adolescence. Journal of Personality and Social Psychology, 106(6):867, 2014.Google ScholarCross Ref
- YesWeCode, 2014. http://www.yeswecode.org/.Google Scholar
Index Terms
- "I Don't Code All Day": Fitting in Computer Science When the Stereotypes Don't Fit
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