Abstract
Despite their high performance in STEM disciplines and earning top grades in math and science classes, many academically talented girls often leave STEM majors or shy away from careers in STEM. Understanding why bright and talented girls leave STEM majors requires an in-depth understanding of the factors that predict their success and retention in STEM. This study, conducted in Post-Soviet Kazakhstan, a country with a strong emphasis on the nation’s talented students and STEM-focused education, provides evidence on the underlying reasons for this puzzling phenomenon. The findings from the study provide supportive evidence of the presence of individual and environmental (distal and proximal) factors facilitating and impeding talented girls’ STEM progression and retention, as proposed by SCCT theory.
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26 February 2022
A Correction to this paper has been published: https://doi.org/10.1007/s10763-022-10261-x
References
Almarode, J. T., Subotnik, R. F., Crowe, E., Tai, R. H., Lee, G. M., & Nowlin, F. (2014). Specialized high schools and talent search programs: Incubators for adolescents with high ability in STEM disciplines. Journal of Advanced Academics, 25(3), 307–331.
Archer, L., & DeWitt, J. (2015). Science aspirations and gender identity: Lessons from the ASPIRES project. In E. K., Henriksen, J. Dillon, & J. Ryder (Eds.), Understanding student participation and choice in science and technology education (pp. 89–102). Springer.
Almukhambetova, A., & Hernández-Torrano, D. (2020). Gifted students’ adjustment and underachievement in university: An exploration from the self-determination theory perspective. Gifted Child Quarterly, 64(2), 117–131.
Almukhambetova, A., & Hernández-Torrano, D. (2021). Journal of Advanced Academics, 32(1), 70–91.
Almukhambetova, A., & Kuzhabekova, A. (2020). Factors affecting the decision of female students to enrol in undergraduate science, technology, engineering and mathematics majors in Kazakhstan. International Journal of Science Education, 42(6), 934–954.
Almukhambetova, A., & Kuzhabekova, A. (2021). Negotiating conflicting discourses. Female students’ experiences in STEM majors in an international university in Central Asia. International Journal of Science Education, 1-24.
Bergeron, L., & Gordon, M. (2017). Establishing a STEM pipeline: Trends in male and female enrollment and performance in higher level secondary STEM courses. International Journal of Science and Mathematics Education, 15(3), 433–450.
Blackburn, H. (2017). The status of women in STEM in higher education: A review of the literature 2007–2017. Science & Technology Libraries, 36(3), 235–273. https://doi.org/10.1080/0194262X.2017.1371658
Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: S longitudinal study and an intervention. Child Development, 78(1), 246–263.
Blickenstaff, C. J. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17(4), 369–386. https://doi.org/10.1080/09540250500145072
Bogdan, R. C., & Biklen, S. K. (1998). Qualitative research in education: An introduction to theory and methods (3rd ed.). Allyn & Bacon.
Boston, J. S., & Cimpian, A. (2018). How do we encourage gifted girls to pursue and succeed in science and engineering? Gifted Child Today, 41(4), 196–207.
Burke, R. J., & Mattis, M. C. (Eds.). (2007). Women and minorities in science, technology, engineering, and mathematics: Upping the numbers. Edward Elgar Publishing.
Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 44(8), 1187–1218.
Cech, E., Rubineau, B., Silbey, S., & Seron, C. (2011). Professional role confidence and gendered persistence in engineering. American Sociological Review, 76(5), 641–666.
Ceci, S. J., Ginther, D. K., Kahn, S., & Williams, W. M. (2014). Women in academic science: A changing landscape. Psychological Science in the Public Interest, 15(3), 75–141.
Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35.
Cimpian, A., & Leslie, S. (2015). Response to comment on “Expectations of brilliance underlie gender distributions across academic disciplines.” Science, 349(6246), 391.
Cimpian, J. R., Kim, T. H., & McDermott, Z. T. (2020). Understanding persistent gender gaps in STEM. Science, 368(6497), 1317–1319.
Creswell, W. (2013). Qualitative inquiry and research design: Choosing among five approaches.
Dai, D. Y. (2002). Are gifted girls motivationally disadvantaged? Review, reflection and redirection. Journal for the Education of the Gifted, 25, 315–358.
Dasgupta, N., & Stout, J. G. (2014). Girls and women in science, technology, engineering, and mathematics: STEMing the tide and broadening participation in STEM careers. Policy Insights from the Behavioral and Brain Sciences, 1(1), 21–29.
Dweck, C. (2006). Mindset: The new psychology of success. Random House.
Dweck, C. S. (2007). Is Math a Gift? American Psychological Association.
Eccles, J. S. (1994). Understanding women’s educational and occupational choices: applying the Eccles et al. model of achievement-related choices. Psychology of Women Quarterly, 18(4), 585–609.
Eccles, J. (2009). Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44(2), 78–89.
Eccles, J. S., & Harold, R. D. (1991). Gender differences in sport involvement: Applying the Eccles’ expectancy-value model. Journal of applied sport psychology, 3(1), 7–35.
Ertl, B., Luttenberger, S., Lazarides, R., Jones, M. G., & Paechter, M. (2019). Gendered paths into STEM. Disparities between females and males in STEM over the life-span. Frontiers in Psychology, 10, 2758.
Feist, G. (2006). The development of scientific talent in Westinghouse finalists and members of the National Academy of Sciences. Journal of Adult Development, 13(1), 23–35.
Greene, M. J. (2003). Gifted adrift? Career counseling of the gifted and talented. Roeper Review, 25(2), 66–72.
Halpern, D. F., Benbow, C. P., Geary, D. C., Gur, R. C., Hyde, J. S., & Gernsbacher, M. A. (2007). The science of sex differences in science and mathematics. Psychological Science in the Public Interest, 8(1), 1–51.
Harackiewicz, J. M., Canning, E. A., Tibbetts, Y., Priniski, S. J., & Hyde, J. S. (2016). Closing achievement gaps with a utility-value intervention: Disentangling race and social class. Journal of Personality and Social Psychology, 111(5), 745–765.
Hawkins, C. C., Watt, H. M., & Sinclair, K. E. (2006). Psychometric properties of the Frost Multidimensional Perfectionism Scale with Australian adolescent girls: Clarification of multidimensionality and perfectionist typology. Educational and Psychological Measurement, 66(6), 1001–1022.
Heilbronner, N. N. (2011). Stepping onto the STEM pathway: Factors affecting students’ declaration of STEM majors in college. Journal for the Education of the Gifted, 34, 876–899.
Heilbronner, N. N. (2013). The STEM pathway for women: What has changed? Gifted Child Quarterly, 57(1), 39–55.
Holmes, K., Gore, J., Smith, M., & Lloyd, A. (2018). An integrated analysis of school students’ aspirations for STEM careers: Which student and school factors are most predictive? International Journal of Science and Mathematics Education, 16(4), 655–675.
Huang, C. (2013). Gender differences in academic self-efficacy: A meta-analysis. European Journal of Psychology of Education, 28(1), 1–35.
Jansen, M., Schroeders, U., & Lüdtke, O. (2014). Academic self-concept in science: Multidimensionality, relations to achievement measures, and gender differences. Learning and Individual Differences, 30, 11–21.
Jung, J. Y. (2014). Modeling the occupational/career decision-making processes of intellectually gifted adolescents: A competing models strategy. Journal for the Education of the Gifted, 37(2), 128–152.
Kahn, S., & Ginther, D. (2017). Women and STEM (No. w23525). National Bureau of Economic Research.
Kanny, M. A., Sax, L. J., & Riggers-Piehl, T. A. (2014). Investigating forty years of STEM research: how explanations for the gender gap have evolved over time. Journal of Women and Minorities in Science and Engineering, 20(2), 127–148.
Keller, J. (2007). Stereotype threat in classroom settings: The interaction effect of domain identification, task difficulty and stereotype threat on female students’ math performance. British Journal of Educational Psychology, 77(2), 323–338.
Kerr, B. A., & McKay, R. (2014). Smart girls in the 21st century: Understanding talented girls and women. Great Potential Press Inc.
Kerr, B. A., Vuyk, M. A., & Rea, C. (2012). Gendered practices in the education of gifted girls and boys. Psychology in the Schools, 49(7), 647–655.
Kissinger, J., Campbell, R. C., Lombrozo, A., & Wilson, D. (2009). The role of gender in belonging and sense of community. Paper presented at the 39th IEEE Frontiers in Education Conference, IEEE.
Köller, O., Baumert, J., & Schnabel, K. (2001). Does interest matter? The relationship between academic interest and achievement in mathematics. Journal for Research in Mathematics Education, 32(5), 448–470.
Kuzhabekova, A., Janenova, S., & Almukhambetova, A. (2018). Analyzing the experiences of female leaders in civil service in Kazakhstan: Trapped between economic pressure to earn and traditional family role expectations. International Journal of Public Administration, 41(15), 1290–1301.
Lent, R. W. (2005). A social cognitive view of career development and counseling. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (pp. 101–127). John Wiley & Sons Inc.
Lent, R. W., & Brown, S. D. (2006). On contextualizing and assessing social cognitive constructs in career research: A measurement guide. Journal of Career Assessment, 14(1), 12–35.
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122.
Lent, R. W., Brown, S. D., & Hackett, G. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47(1), 36–49.
Lent, R. W., Paixao, M. P., Da Silva, J. T., & Leitão, L. M. (2010). Predicting occupational interests and choice aspirations in Portuguese high school students: A test of social cognitive career theory. Journal of Vocational Behavior, 76(2), 244–251.
Lubinski, D. (2010). Spatial ability and STEM: A sleeping giant for talent identification and development. Personality and Individual Differences, 49(4), 344–351.
Lubinski, D., & Benbow, C. P. (2001). Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study. Journal of Educational Psychology, 93(3), 604–614.
Lubinski, D., Benbow, C. P., Shea, D. L., Eftekhari-Sanjani, H., & Halvorson, M. B. (2001). Men and women at promise for scientific excellence: Similarity not dissimilarity. Psychological Science, 12(4), 309–317.
Luscombe, A., & Riley, T. L. (2001). An examination of self-concept in academically gifted adolescents: Do gender differences occur? Roeper Review, 24(1), 20–22.
Luttenberger, S., Paechter, M., & Ertl, B. (2019). Self-concept and support experienced in school as key variables for the motivation of women enrolled in STEM subjects with a low and moderate proportion of females. Frontiers in Psychology, 10, 1242–1271.
Meadows, M. (2016). Where are all the talented girls? How can we help them achieve in science technology engineering and mathematics? Journal for the Education of Gifted Young Scientists, 4(2), 29–42.
Mendez, L. M. R., & Crawford, K. M. (2002). Gender-role stereotyping and career aspirations: A comparison of gifted early adolescent boys and girls. Journal of Secondary Gifted Education, 13(3), 96–107.
Ministry of National Economy of the Republic of Kazakhstan Committee on Statistics (Astana: March 2016), 14, http://bit.ly/1ra1qtO
Morgan, S. L., Gelbgiser, D., & Weeden, K. A. (2013). Feeding the pipeline: Gender, occupational plans, and college major selection. Social Science Research, 42(4), 989–1005.
Neber, H., & Schommer-Aikins, M. (2002). Self-regulated science learning with highly gifted students: The role of cognitive, motivational, epistemological, and environmental variables. High Ability Studies, 13(1), 59–74.
Neber, H., He, J., Liu, B. X., & Schofield, N. (2008). Chinese high-school students in physics classroom as active, self-regulated learners: Cognitive, motivational and environmental aspects. International Journal of Science and Mathematics Education, 6(4), 769–788.
Neumeister, K. L. S. (2004). Factors influencing the development of perfectionism in gifted college students. Gifted Child Quarterly, 48(4), 259–274.
Organization for Economic Cooperation and Development (OECD). (2017). Education at a Glance: OECD Indicators. Author.
Olszewski-Kubilius, P., & Turner, D. (2002). Gender differences among elementary school-aged gifted students in achievement, perceptions of ability, and subject preference. Journal for the Education of the Gifted, 25(3), 233–268.
Ong, M. (2005). Body projects of young women of color in physics: Intersections of gender, race, and science. Social Problems, 52(4), 593–617. https://doi.org/10.1525/sp.2005.52.4.593
Pajares, F. (2005). Gender differences in mathematics self-efficacy beliefs. Cambridge University Press.
Park, G., Lubinski, D., & Benbow, C. P. (2008). Ability differences among people who have commensurate degrees matter for scientific creativity. Psychological Science, 19(10), 957–961.
Perrone, K. M., Perrone, P. A., Ksiazak, T. M., Wright, S. L., & Jackson, Z. V. (2007). Self-perception of gifts and talents among adults in a longitudinal study of academically talented high-school graduates. Roeper Review, 29(4), 259–264.
Preckel, F., Goetz, T., Pekrun, R., & Kleine, M. (2008). Gender differences in gifted and average-ability students: Comparing girls’ and boys’ achievement, self-concept, interest, and motivation in mathematics. Gifted Child Quarterly, 52(2), 146–159.
Reis, S. M. (2002). Internal barriers, personal issues, and decisions faced by gifted and talented females. Gifted Child Today, 25(1), 14–28.
Rimm, S. (2001). See Jane win: The Rimm report on how 1000 girls became successful women. Three Rivers Press.
Rincón, B. E., & George-Jackson, C. E. (2016). Examining department climate for women in engineering: The role of STEM interventions. Journal of College Student Development, 57(6), 742–747. https://doi.org/10.1353/csd.2016.0072
Rinn, A. N., & Plucker, J. A. (2019). High-ability college students and undergraduate honors programs: A systematic review. Journal for the Education of the Gifted, 42(3), 187–215.
Rudasill, K. M., Capper, M. R., Foust, R. C., Callahan, C. M., & Albaugh, S. B. (2009). Grade and gender differences in gifted students’ self-concepts. Journal for the Education of the Gifted, 32(3), 340–367.
Sadker, D., & Zittleman, K. (2005). Gender bias lives, for both sexes. The Education Digest, 70(8), 27–30.
Schwartz, S. H., & Rubel, T. (2005). Sex differences in value priorities: Cross-cultural and multimethod studies. Journal of Personality and Social Psychology, 89(6), 1010–1028.
Shapiro, J. R., & Williams, A. M. (2012). The role of stereotype threats in undermining girls’ and women’s performance and interest in STEM fields. Sex Roles, 66(3–4), 175–183.
Sheu, H. B., & Bordon, J. J. (2017). SCCT research in the international context: Empirical evidence, future directions, and practical implications. Journal of Career Assessment, 25(1), 58–74.
Siegle, D., & Reis, S. M. (1998). Gender differences in teacher and student perceptions of gifted students’ ability and effort. Gifted Child Quarterly, 42(1), 39–47.
Sloan, P. J. (2020). Increasing gifted women’s pursuit of STEM: Possible role of NYC selective specialized public high schools. Journal for the Education of the Gifted, 43(2), 167–188.
Snyder, K. E., Malin, J. L., Dent, A. L., & Linnenbrink-Garcia, L. (2014). The message matters: The role of implicit beliefs about giftedness and failure experiences in academic self-handicapping. Journal of Educational Psychology, 106(1), 230–241.
Spelke, E. S., & Grace, A. D. (2007). Sex, mathematics, and science. Why aren’t more women in science? Eminent researchers debate the evidence Systemizing, mathematics, and mechanical reasoning 495 on a key controversy of our time (pp. 57–68). American Psychological Association.
Steenbergen-Hu, S., & Olszewski-Kubilius, P. (2017). Factors that contributed to gifted students’ success on STEM pathways: The role of race, personal interests, and aspects of high school experience. Journal for the Education of the Gifted, 40(2), 99–134.
Stets, J. E., Brenner, P. S., Burke, P. J., & Serpe, R. T. (2017). The science identity and entering a science occupation. Social Science Research, 64, 1–14. https://doi.org/10.1016/j.ssresearch.2016.10.016
Stoet, G., & Geary, D. C. (2013). Sex differences in mathematics and reading achievement are inversely related: within-and across-nation assessment of 10 years of PISA data. PLoS One, 8(3), e57988.
Subotnik, R. F., Stone, K. M., & Steiner, C. (2001). Lost generation of elite talent in science. Journal of Secondary Gifted Education, 13(1), 33–43.
Sumpter, L. (2016). ‘Boys press all the buttons and hope it will help’: Upper secondary school teachers’ gendered conceptions about students’ mathematical reasoning. International Journal of Science and Mathematics Education, 14(8), 1535–1552.
Tillberg, H. K., & Cohoon, J. M. (2005). Attracting women to the CS major. Frontiers: A Journal of Women Studies, 26(1), 126–140.
Tyson, W., Lee, R., Borman, K. M., & Hanson, M. A. (2007). Science, technology, engineering, and mathematics (STEM) pathways: High school science and math coursework and postsecondary degree attainment. Journal of Education for Students Placed at Risk, 12(3), 243–270.
UNESCO Institute for Statistics [Internet]. Women in Science. (2020). fs55-women-in-science-2019-en.pdf(unesco.org).
Vu, P., Harshbarger, D., Crow, S., & Henderson, S. (2019). Why STEM? Factors that influence gifted students’ choice of college majors. International Journal of Technology in Education and Science (IJTES), 3(2), 63–71.
Wai, J., Lubinski, D., Benbow, C. P., & Steiger, J. H. (2010). Accomplishment in science, technology, engineering, and mathematics (STEM) and its relation to STEM educational dose: A 25-year longitudinal study. Journal of Educational Psychology, 102(4), 860–871.
Waite, A. M., & McDonald, K. S. (2019). Exploring challenges and solutions facing STEM careers in the 21st century: A human resource development perspective. Advances in Developing Human Resources, 21(1), 3–15.
Wang, X. (2013). Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081–1121.
White, J. L., & Massiha, G. H. (2016). The retention of women in science, technology, engineering and mathematics: A framework for persistence. International Journal of Evaluation and Research in Education, 5(1), 1–8.
Wigfield, A., Eccles, J. S., Davis-Kean, P., Roeser, R., & Scheifele, U. (2006). Motivation to succeed. Handbook of Child Psychology. Social, Emotional, and Personality Development, 3, 933–1002.
York, E. A. (2008). Gender differences in the college and career aspirations of high school valedictorians. Journal of Advanced Academics, 19(4), 578–600.
Zohar, A., & Gershikov, A. (2008). Gender and performance in mathematical tasks: Does the context make a difference? International Journal of Science and Mathematics Education, 6(4), 677–693.
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Almukhambetova, A., Torrano, D.H. & Nam, A. Fixing the Leaky Pipeline for Talented Women in STEM. Int J of Sci and Math Educ 21, 305–324 (2023). https://doi.org/10.1007/s10763-021-10239-1
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DOI: https://doi.org/10.1007/s10763-021-10239-1