Building bridges between psychological science and education: Cultural stereotypes, STEM, and equity
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There is a gender gap in science, technology, engineering, and mathematics (STEM) education. This presents a worldwide problem of inequity. Sociocultural stereotypes associating STEM with males act as barriers that prevent girls from developing interests in STEM. This article aims to show that we can increase equity and enhance outcomes for a broader number of children around the world by integrating psychological and educational science. The article discusses four strands of research in an effort to build a bridge between psychological science and educational practice and policy. First, it describes how stereotypes can act as barriers that prevent girls from developing interests in STEM. Second, it summarizes psychological experiments demonstrating that counteracting stereotypes can increase girls’ interest in enrolling in STEM courses. Third, it examines new results showing that children adopt the pervasive stereotypes of their culture starting from surprisingly young ages, and it shows that children’s stereotypes influence their academic attitudes and performance. Fourth, it describes innovative practical interventions that can increase and equalize motivation and engagement in STEM for both boys and girls. In each of these sections, the authors link scientific findings with educational applications. Cultural stereotypes contribute to educational inequities, but scientists, educators, and policymakers can together make a difference to reduce stereotyping and boost girls’ interest in STEM worldwide.
KeywordsSTEM Gender Stereotypes Equity Psychology Identity Inclusion
- Brown, E. (2016, April 26). Top business leaders, 27 governors, urge Congress to boost computer science education. Washington Post. https://www.washingtonpost.com.
- Cohen, G. L., Purdie-Vaughns, V., & Garcia, J. (2012). An identity threat perspective on intervention. In M. Inzlicht & T. Schmader (Eds.), Stereotype threat: Theory, process, and application (pp. 280–296). New York, NY: Oxford University Press.Google Scholar
- DeJarnette, N. K. (2012). America’s children: Providing early exposure to STEM (science, technology, engineering and math) initiatives. Education, 133(1), 77–84.Google Scholar
- Diekman, A. B., Brown, E. R., Johnston, A. M., & Clark, E. K. (2010). 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. doi: 10.1177/0956797610377342.CrossRefGoogle Scholar
- Diekman, A. B., Clark, E. K., Johnston, A. M., Brown, E. R., & Steinberg, M. (2011). 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), 902–918. doi: 10.1037/a0025199.CrossRefGoogle Scholar
- Dweck, C. S., & Master, A. (2009). Self-theories and motivation: Students’ beliefs about intelligence. In K. R. Wenzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 123–140). New York, NY: Routledge.Google Scholar
- European Round Table of Industrialists (2009). Societal changes: Mathematics, science & technology education report. Brussels: European Round Table of Industrialists.Google Scholar
- European Union (2009). She figures 2009—Statistics and indicators on gender equity in science. Brussels: European Commission.Google Scholar
- Hewlett, S. A., Luce, C. B., Servon, L. J., Sherbin, L., Shiller, P., Sosnovich, E., et al. (2008). The Athena factor: Reversing the brain drain in science, engineering, and technology. Harvard Business Review Research Report. Boston, MA: Harvard Business Publishing.Google Scholar
- Hulleman, C. S., & Barron, K. E. (2016). Motivation interventions in education: Bridging theory, research, and practice. In L. Corno & E. M. Anderman (Eds.), Handbook of educational psychology (3rd ed., pp. 160–171). New York, NY: Routledge.Google Scholar
- Jones, M. G., Howe, A., & Rua, M. J. (2000). Gender differences in students’ experiences, interests, and attitudes toward science and scientists. Science Education, 84(2), 180–192. doi: 10.1002/(SICI)1098-237X(200003)84:2<180:AID-SCE3>3.0.CO;2-X.CrossRefGoogle Scholar
- Lin-Siegler, X., Ahn, J. N., Chen, J., Fang, F. A., & Luna-Lucero, M. (2016). Even Einstein struggled: Effects of learning about great scientists’ struggles on high school students’ motivation to learn science. Journal of Educational Psychology, 108(3), 314–328. doi: 10.1037/edu0000092.CrossRefGoogle Scholar
- Margolis, J., & Fisher, A. (2002). Unlocking the clubhouse: Women in computing. Cambridge, MA: MIT Press.Google Scholar
- Martin, C. L., & Dinella, L. M. (2002). Children’s gender cognitions, the social environment, and sex differences in cognitive domains. In A. McGillicuddy-DeLisi & R. De Lisi (Eds.), Biology, society, and behavior: The development of sex differences in cognition (pp. 207–239). Westport, CT: Ablex.Google Scholar
- Master, A., Butler, L. P., & Walton, G. W. (2017). How the subjective relationship between the self, others, and a task drives interest. In P. A. O’Keefe & J. M. Harackiewicz (Eds.), The science of interest. New York, NY: Springer.Google Scholar
- Master, A., Cheryan, S., & Meltzoff, A. N. (2014). Reducing adolescent girls’ concerns about STEM stereotypes: When do female teachers matter? International Review of Social Psychology, 27(3–4), 79–102.Google Scholar
- Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (in press). Providing programming experience leads to higher STEM motivation for first-grade girls. Journal of Experimental Child Psychology.Google Scholar
- Meltzoff, A. N. (2013). Origins of social cognition: Bidirectional self-other mapping and the “like-me” hypothesis. In M. Banaji & S. Gelman (Eds.), Navigating the social world: What infants, children, and other species can teach us (pp. 139–144). New York, NY: Oxford University Press. doi: 10.1093/acprof:oso/9780199890712.003.0025.CrossRefGoogle Scholar
- Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2012). Science faculty’s subtle gender biases favor male students. Proceedings of the National Academy of Sciences of the United States of America, 109(41), 16464–16479. doi: 10.1073/pnas.1211286109.CrossRefGoogle Scholar
- Mullis, I. V. S., Martin, M. O., & Foy, P. (with Olson, J. F., Preuschoff, C., Erberber, E., Arora, A., & Galia, J.) (2008). TIMSS 2007 International Mathematics Report: Findings from IEA’s Trends in International Mathematics and Science Study at the fourth and eighth grades. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.Google Scholar
- National Science Foundation (2015). TABLE 5–1. Bachelor’s degrees awarded, by sex and field: 2002–2012. http://www.nsf.gov/statistics/2015/nsf15311/tables/pdf/tab5-1.pdf.
- Nosek, B. A., Smyth, F. L., Sriram, N., Lindner, N. M., Devos, T., Ayala, A., et al. (2009). National differences in gender–science stereotypes predict national sex differences in science and math achievement. Proceedings of the National Academy of Sciences of the United States of America, 106(26), 10593–10597. doi: 10.1073/pnas.0809921106.CrossRefGoogle Scholar
- OECD (2011). Report on the gender initiative: Gender equality in education, employment, and entrepreneurship. Paris: OECD.Google Scholar
- OECD (2015b). Women in scientific production. Paris: OECD. https://www.oecd.org/gender/data/women-in-scientific-production.htm.
- Riegle-Crumb, C., King, B., Grodsky, E., & Muller, C. (2012). The more things change, the more they stay the same? Prior achievement fails to explain gender inequality in entry into STEM college majors over time. American Educational Research Journal, 49(6), 1048–1073. doi: 10.3102/0002831211435229.CrossRefGoogle Scholar
- Rodríguez, R. J., & Garg, K. (2016). Supporting our youngest innovators: STEM starts early! Whitehouse.gov. https://www.whitehouse.gov/blog.
- Sadker, M., & Sadker, D. (1994). Failing at fairness: How America’s schools cheat girls. New York: Scribner.Google Scholar
- Shenouda, C. K., & Danovitch, J. H. (2014). Effects of gender stereotypes and stereotype threat on children’s performance on a spatial task. International Review of Social Psychology, 27(3–4), 53–77.Google Scholar
- Sjøberg, S. & Schreiner, C. (2010). The ROSE project: An overview and key findings. Oslo: University of Oslo. http://www.roseproject.no/network/countries/norway/eng/nor-Sjoberg-Schreiner-overview-2010.pdf.
- Skwarchuk, S. L., Sowinski, C., & LeFevre, J. A. (2014). Formal and informal home learning activities in relation to children’s early numeracy and literacy skills: The development of a home numeracy model. Journal of Experimental Child Psychology, 121, 63–84. doi: 10.1016/j.jecp.2013.11.006.CrossRefGoogle Scholar
- Smith, J. L., Lewis, K. L., Hawthorne, L., & Hodges, S. D. (2013). When trying hard isn’t natural: Women’s belonging with and motivation for male-dominated STEM fields as a function of effort expenditure concerns. Personality and Social Psychology Bulletin, 39(2), 131–143. doi: 10.1177/0146167212468332.CrossRefGoogle Scholar
- The College Board (2015). Number of schools offering AP exams (by subject). http://secure-media.collegeboard.org/digitalServices/pdf/research/2015/Number-of-Schools-Offering-AP-2015.pdf.
- UNESCO (2004). Gender sensitivity: A training manual for sensitizing education managers, curriculum and material developers and media professionals to gender concerns. http://unesdoc.unesco.org/images/0013/001376/137604eo.pdf.
- UNESCO (2015). Education 2030: Towards inclusive and equitable quality education and lifelong learning for all. http://en.unesco.org/world-education-forum-2015/incheon-declaration.
- U.S. Department of Education (2003). Teaching mathematics in seven countries: Results from the TIMSS 1999 video study. Washington, DC: National Center for Education Statistics.Google Scholar
- Walton, G. M., Logel, C., Peach, J. M., Spencer, S. J., & Zanna, M. P. (2015). Two brief interventions to mitigate a “chilly climate” transform women’s experience, relationships, and achievement in engineering. Journal of Educational Psychology, 107(2), 468–485. doi: 10.1037/a0037461.CrossRefGoogle Scholar
- Yeager, D. S., Walton, G. M., Brady, S. T., Akcinar, E. N., Paunesku, D., Keane, L., et al. (2016). Teaching a lay theory before college narrows achievement gaps at scale. Proceedings of The National Academy of Sciences of the United States of America, 113(24), E3341–E3348. doi: 10.1073/pnas.1524360113.CrossRefGoogle Scholar