ABSTRACT
The lack of diversity in the tech industry is a widely remarked phenomenon. The majority of workers in tech roles are either white or Asian men, with all other groups being under-represented.
Some authors point to cultural factors influencing self-efficacy, leading to a lack of diversity at the start of the "pipeline" of IT talent. Others point to toxic workplace culture that can lead skilled tech workers to drop out of the industry.
While these effects are very real and important, this paper focuses on a third concept contributing to lack of diversity, communal goal congruity. We present a growing body of evidence suggesting that working with others, and in the service of others, are important career goals that many believe tech careers lack. We describe prior work that shows that these beliefs also have a significant impact on the pipeline of tech talent.
We then report on the first pieces of data out of the first long-term intervention designed with this communal goal congruity perspective in mind. We have created a cohort-based service-learning program in computer science, computer engineering, electrical engineering, and software engineering. The result is a program with 26.3% women and 31.6% African American and/or Hispanic students, including 15.8% African American and/or Hispanic women, at an institution that has never previously seen this level of diversity in its computing majors.
- A. Bandura. Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2):191, 1977. Google ScholarCross Ref
- S. Cassidy and P. Eachus. Developing the computer user self-efficacy (CUSE) scale: Investigating the relationship between computer self-efficacy, gender and experience with computers. Journal of Educational Computing Research, 26(2):133--153, 2002. Google ScholarCross Ref
- S. J. Ceci, W. M. Williams, and S. M. Barnett. Women's underrepresentation in science: Sociocultural and biological considerations. Psychological bulletin, 135(2):218, 2009. Google ScholarCross Ref
- S. Cheryan. Understanding the paradox in math-related fields: Why do some gender gaps remain while others do not? Sex Roles, 66(3-4):184--190, 2012. Google ScholarCross Ref
- J. M. Cohoon, Z. Wu, and J. Chao. Sexism: Toxic to women's persistence in CSE doctoral programs. ACM SIGCSE Bulletin, 41(1):158--162, 2009. Google ScholarDigital Library
- C. Corbett and C. Hill. Solving the Equation. American Association of University Women, 2015.Google Scholar
- G. Crisp, A. Nora, and A. Taggart. Student characteristics, pre-college, college, and environmental factors as predictors of majoring in and earning a STEM degree: An analysis of students attending a Hispanic serving institution. American Educational Research Journal, 46(4):924--942, 2009. 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
- A. B. Diekman, E. R. Brown, A. M. Johnston, and E. K. Clark. Seeking congruity between goals and roles: A new look at why women opt out of science, technology, engineering, and mathematics careers. Psychological Science, 21(8):1051--1057, 2010. Google ScholarCross Ref
- A. B. Diekman, E. K. Clark, A. M. Johnston, E. R. Brown, and M. Steinberg. Malleability in communal goals and beliefs influences attraction to STEM careers: Evidence for a goal congruity perspective. Journal of personality and social psychology, 101(5):902, 20Google Scholar
- J. S. Eccles. Understanding women's educational and occupational choices. Psychology of women quarterly, 18(4):585--609, 1994. Google ScholarCross Ref
- J. Evans. Women In Tech: It's Not Just A Pipeline Problem. http://social.techcrunch.com/2014/08/23/just-another-white-dude-writing-about-diversity/. {Online; accessed 2015-08-03}.Google Scholar
- K. Ferriman, D. Lubinski, and C. P. Benbow. Work preferences, life values, and personal views of top math/science graduate students and the profoundly gifted: Developmental changes and gender differences during emerging adulthood and parenthood. Journal of personality and social psychology, 97(3):517, 2009. Google ScholarCross Ref
- Google, Inc. Diversity - Google. https://www.google.com/diversity. {Online; accessed 2015-07-27}.Google Scholar
- LinkedIn Corp. LinkedIn's Workforce Diversity. http://blog.linkedin.com/2014/06/12/linkedins-workforce-diversity/. {Online; accessed 2015-07-27}.Google Scholar
- R. Martin. More Than A Pipeline Problem: In Search Of Diversity In Silicon Valley. http://www.npr.org/sections/alltechconsidered/2015/07/26/426364306. {Online; accessed 2015-08-03}.Google Scholar
- I. T. Miura. The relationship of computer self-efficacy expectations to computer interest and course enrollment in college. Sex Roles, 16(5-6):303--311, 1987. Google ScholarCross Ref
- C. A. Moss-Racusin, J. F. Dovidio, V. L. Brescoll, M. J. Graham, and J. Handelsman. Science faculty's subtle gender biases favor male students. Proceedings of the National Academy of Sciences, 109(41):16474--16479, 2012. Google ScholarCross Ref
- B. A. Nosek and F. L. Smyth. Implicit social cognitions predict sex differences in math engagement and achievement. American Educational Research Journal, 48(5):1125--1156, 2011. Google ScholarCross Ref
- P. Post, M. A. Stewart, and P. L. Smith. Self-efficacy, interest, and consideration of math/science and non-math/science occupations among black freshmen. Journal of Vocational Behavior, 38(2):179--186, 1991. Google ScholarCross Ref
- E. Reuben, P. Sapienza, and L. Zingales. How stereotypes impair women's careers in science. Proceedings of the National Academy of Sciences, 111(12):4403--4408, 2014. 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
- U.S. Department of Education. Institute of Education Sciences, National Center for Education Statistics. Digest of education statistics. http://nces.ed.gov/programs/digest/current_tables.asp, 2013. {Online; accessed 2015-07-24}.Google Scholar
- I. Vekiri and A. Chronaki. Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers & education, 51(3):1392--1404, 2008. Google ScholarDigital Library
- Yahoo!, Inc. Workforce Diversity at Yahoo! http://yahoo.tumblr.com/post/89085398949/workforce-diversity-at-yahoo. {Online; accessed 2015-07-27}.Google Scholar
- J. L. Yowell and J. F. Sullivan. Who should be an engineer? Bridge, 41(2):23--29, 20Google Scholar
Index Terms
- Applying the Communal Goal Congruity Perspective to Enhance Diversity and Inclusion in Undergraduate Computing Degrees
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