Abstract
In this chapter, we explore the early childhood origins gender differences and future mathematical learning and participation. We draw from the extant of the literature and also from our own recent research. We explore the evidence to consider whether different patterns of participation are motivated by cognitive, behavioral, attitudinal, or socialized differences. Additionally, we reflect on the lack of representation of males and fathers in research. In addition, we discuss the lack of conclusiveness in some of the gender gap research. Findings suggest gender differences in mathematical abilities prior to formal schooling may be more socialized than innate. A more recent meta-analysis demonstrated that gender differences tend to disappear over time.
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References
Ambady, N., Shih, M., Kim, A., & Pittinsky, T. L. (2001). Stereotype susceptibility in children: Effects of identity activation on quantitative performance. Psychological Science, 12(5), 385–390.
Andersen, R., & Newman, J. F. (2005). Societal and individual determinants of medical care utilization in the United States. The Milbank Quarterly, 83(4), 1–28. https://doi.org/10.1111/j.1468-0009.2005.00428.x.
Aunola, K., Leskinen, E., Lerkkanen, M. -K., & Nurmi, J. -E. (2004). Developmental dynamics of math performance from preschool to grade 2. Journal of Educational Psychology, 96, 699–713. https://doi.org/10.1037/0022-0663.96.4.699.
Beilock, S. L., Gunderson, E. A., Ramirez, G., & Levine, S. C. (2010). Female teachers’ math anxiety affects girls’ math achievement. PNAS Proceedings of the National Academy of Sciences of the United States of America, 107, 1860–1863. https://doi.org/10.1073/pnas.0910967107.
Bouffard, T., Marcoux, M. -F., Vezeau, C., & Bordeleau, L. (2003). Changes in self-perceptions of competence and intrinsic motivation among elementary schoolchildren. British Journal of Educational Psychology, 73(2), 171–186. https://doi.org/10.1348/00070990360626921.
Change the Equation. (2017). STEM help wanted: Demand for science, technology, engineering and mathematics weathers the storm. Retrieved from http://changetheequation.org/sites/default/files/CTEq_VitalSigns_Supply%20%282%29.pdf.
Cimpian, J. R., Lubienski, S. T., Timmer, J. D., Makowski, M. B., & Miller, E. K. (2016). Have gender gaps in math closed? Achievement, teacher perceptions, and learning behaviors across two ECLS-K cohorts. AERA Open, 2(4), 1–19. https://doi.org/10.1177/2332858416673617.
Conference Board of Canada. (2014). Graduates in science, math, computer science, and engineering. Retrieved from http://www.conferenceboard.ca/hcp/provincial/education/sciencegrads.aspx.
Dearing, E., Casey, B. M., Ganley, C. M., Tillinger, M., Laski, E., & Montecillo, C. (2012). Young girls’ arithmetic and spatial skills: The distal and proximal roles of family socioeconomics and home learning experiences. Early Childhood Research Quarterly, 27(3), 458–470.
Dickhauser, D., & Meyer, W. U. (2006). Gender differences in young children’s math ability attributions. Psychology Science, 48(1), 3–16.
Eccles, J. S., Jacobs, J. E., & Harold, R. D. (1990). Gender role stereotypes, expectancy effects, and parents’ socialization of gender differences. Journal of Social Issues, 46, 183–201. https://doi.org/10.1111/j.1540-4560.1990.tb01929.x.
Eccles, J. S., Wigfield, A., Harold, R. D., & Blumenfeld, P. (1993). Age and gender differences in children’s self- and task perceptions during elementary school. Child Development, 64, 830–847. https://doi.org/10.2307/1131221.
Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136(1), 103–127. https://doi.org/10.1037/a0018053.
Fennema, E., Peterson, P. L., Carpenter, T. P., & Lubinski, C. A. (1990). Teachers’ attributions and beliefs about girls, boys and mathematics. Educational Studies in Mathematics, 21, 55–69.
Fredricks, J. A., & Eccles, J. S. (2002). Children’s competence and value beliefs from childhood through adolescence: Growth trajectories in two male-sex-typed domains. Developmental Psychology, 38(4), 519–533.
Freedman-Doan, C., Wigfield, A., Eccles, J. S., Blumenfeld, P., Arbreton, A., & Harold, R. D. (2000). What am I best at? Grade and gender differences in children’s beliefs about ability improvement. Journal of Applied Developmental Psychology, 21(4), 379–402. https://doi.org/10.1016/S0193-3973(00)00046-0.
Gelman, S. A., Taylor, M. G., & Nguyen, S. P. (2004). Mother-child conversations about gender: Understanding the acquisition of essentialist beliefs. Monographs of the Society for Research in Child Development, 69(1), i+v+vii+1–142. https://doi.org/10.1111/j.1540-5834.2004.06901001.x.
Gillen, A., & Tanenbaum, C. (2014). Exploring gender imbalance among STEM doctoral degree recipients. Washington, DC: American Institutes for Research.
Ginsburg, H. P., & Russell, R. L. (1981). Social class and racial influences on early mathematical thinking. Monographs of the Society for Research in Child Development, 46(6), 1–69. https://doi.org/10.2307/1165946.
Gunderson, E. A., Ramirez, G., Levine, S. C., & Beilock, S. L. (2012). The role of parents and teachers in the development of gender-related math attitudes. Sex Roles, 66(3–4), 153–166. https://doi.org/10.1007/s11199-011-9996-2.
Halpern, D. F., Wai, J., & Saw, A. (2005). A psychobiosocial model: Why females are sometimes greater than and sometimes less than males in math achievement. In A. M. Gallagher & J. C. Kaufman (Eds.), Gender differences in mathematics: An integrative psychological approach (pp. 48–72, Chap. xvi, 351 p.). New York, NY: Cambridge University Press.
Hango, D. (2013a). Ability in mathematics and science at age 15 and program choice in university: Differences by gender. Ottawa, Ontario: Tourism and Centre for Education Statistics Division, Ministry of Industry.
Hango, D. (2013b). Gender differences in science, technology, engineering, mathematics and computer science (STEM) programs at university. Ottawa, Ontario: Ministry of Industry.
Husain, M., & Millimet, D. L. (2009). The mythical ‘boy crisis’? Economics of Education Review, 28(1), 38–48. https://doi.org/10.1016/j.econedurev.2007.11.002.
Hyde, J. S. (2014). Gender similarities and differences. Annual Reviews of Psychology, 65, 373–398. https://doi.org/10.1146/annurev-psych-010213-115057.
Hyde, J. S., Fennema, E., & Lamon, S. J. (1990). Gender differences in mathematics performance: A meta-analysis. Psychological Bulletin, 107(2), 139–155. https://doi.org/10.1037/0033-2909.107.2.139.
Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008). Gender similarities characterize math performance. Science, 321(5888), 494–495.
Jacobs, J. E., & Eccles, J. S. (1992). The impact of mothers’ gender-role stereotypical beliefs on mothers’ and children’s ability and perceptions. Journal of Personality and Social Psychology, 63(6), 932–944.
Jacobs, J. E., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one though twelve. Child Development, 73, 509–527. https://doi.org/10.1111/1467-8624.00421.
Jacobs, J. E., Davis-Kean, P., Bleeker, M., Eccles, J. S., & Malanchuk, O. (2005). “I can, but I don’t want to”: The impact of parents, interests, and activities on gender differences in math. In A. M. Gallagher & J. C. Kaufman (Eds.), Gender differences in mathematics: An integrative psychological approach (pp. 246–263). New York, NY: Cambridge University Press.
Levine, S. C., Huttenlocher, J., Taylor, A., & Langrock, A. (1999). Early sex differences in spatial skill. Developmental Psychology, 35(4), 940–949. https://doi.org/10.1037//0012-1649.35.4.940.
Lummis, M., & Stevenson, H. W. (1990). Gender differences in beliefs and achievements. Developmental Psychology, 26(2), 254–263.
Neuburger, S., Jansen, P., Heil, M., & Quaiser-Pohl, C. (2012). A threat in the classroom: Gender stereotype activation and mental-rotation performance in elementary-school children. Zeitschrift für Psychologie, 220(2), 61–69. https://doi.org/10.1027/2151-2604/a000097.
Pargulski, J. R., & Reynolds, M. R. (2017). Sex differences in achievement: Distributions matter. Personality and Individual Differences, 104, 272–278. https://doi.org/10.1016/j.paid.2016.08.016.
Penner, A. M., & Paret, M. (2008). Gender differences in mathematics achievement: Exploring the early grades and the extremes. Social Science Research, 37(1), 239–253. https://doi.org/10.1016/j.ssresearch.2007.06.012.
Resnick, L. B. (1989). Developing mathematical knowledge. American Psychologist, 44(2), 162–169. https://doi.org/10.1037/0003-066X.44.2.162.
Robinson, J. P., & Theule Lubienski, S. (2011). The development of gender achievement gaps in mathematics and reading during elementary and middle school: Examining direct cognitive assessments and teacher ratings. American Educational Research Journal, 48(2), 268–302. https://doi.org/10.3102/0002831210372249.
Robinson, N. M., Abbott, R. D., Berninger, V. W., & Busse, J. (1996). Structure of abilities in math-precocious young children: Gender similarities and differences. Journal of Educational Psychology, 88(2), 341–352. https://doi.org/10.1037/0022-0663.88.2.341.
Roid, G. (2003). Stanford-Binet intelligence scales (5th ed.). Itasca, IL: Riverside Publishing.
Sandberg, J. F., & Hofferth, S. L. (2001). Changes in children’s time with parents: United States, 1981–1997. Demography, 38(3), 423–436. https://doi.org/10.1353/dem.2001.0031.
Simpkins, S. D., Fredricks, J. A., & Eccles, J. S. (2015a). The role of parents in the ontogeny of achievement-related motivation and behavioral choices: II. Methods. Monographs of the Society for Research in Child Development, 80(2), 23–43. https://doi.org/10.1111/mono.12158.
Simpkins, S. D., Fredricks, J. A., & Eccles, J. S. (2015b). The role of parents in the ontogeny of achievement-related motivation and behavioral choices: VIII. Discussion. Monographs of the Society for Research in Child Development, 80(2), 119–137. https://doi.org/10.1111/mono.12164.
Song, M. -J., & Ginsburg, H. P. (1987). The development of informal and formal mathematical thinking in Korean and U.S. children. Child Development, 58, 1286–1296.
Spelke, E. S. (2005). Sex differences in Intrinsic aptitude for mathematics and science? A critical review. American Psychologist, 60, 950–958. https://doi.org/10.1037/0003-066X.60.9.950.
Starkey, P. (1992). The early development of numerical reasoning. Cognition, 43(2), 93–126.
Starr, A., Libertus, M. E., & Brannon, E. M. (2013). Infants show ratio-dependent number discrimination regardless of set size. Infancy, 18, 927–941. https://doi.org/10.1111/infa.12008.
Tiedemann, J. (2000). Gender-related beliefs of teachers in elementary school mathematics. Educational Studies in Mathematics, 41, 191–207.
Tomasetto, C., Romana Alparone, F., & Cadinu, M. (2011). Girls’ math performance under stereotype threat: The moderating role of mothers’ gender stereotypes. Developmental Psychology, 47(4), 943–949. https://doi.org/10.1037/a0024047.
Tomasetto, C., Mirisola, A., Galdi, S., & Cadinu, M. (2015). Parents’ math-gender stereotypes, children’s self-perception of ability, and children’s appraisal of parents’ evaluations in 6-year-olds. Contemporary Educational Psychology, 42, 186–198. https://doi.org/10.1016/j.cedpsych.2015.06.007.
Upadyaya, K., & Eccles, J. S. (2014). How do teachers’ beliefs predict children’s interest in math from kindergarten to sixth grade? Merrill-Palmer Quarterly, 60(4), 403–430. https://doi.org/10.13110/merrpalmquar1982.60.4.0403.
Upadyaya, K., Viljaranta, J., Lerkkanen, M. -K., Poikkeus, A. -M., & Nurmi, J. -E. (2012). Cross-lagged relations between kindergarten teachers’ causal attributions, and children’s interest value and performance in mathematics. Social Psychology of Education, 15(2), 181–206. https://doi.org/10.1007/s11218-011-9171-1.
U.S. Census Bureau. (2016). Current population survey: America’s families and livingarrangements. Retrieved from https://www.census.gov/topics/families.html.
Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations. A group test of three-dimensional spatial visualization. Perceptual and Motor Skills, 47, 599–604.
Viljaranta, J., Lerkkanen, M. -K., Poikkeus, A. -M., Aunola, K., & Nurmi, J. -E. (2009). Cross-lagged relations between task motivation and performance in arithmetic and literacy in kindergarten. Learning and Instruction, 19(4), 335–344. https://doi.org/10.1016/j.learninstruc.2008.06.011.
Wood, W., & Eagly, A. H. (2002). A cross-cultural analysis of the behavior of women and men: Implications for the origins of sex differences. Psychological Bulletin, 128(5), 699–727. https://doi.org/10.1037/0033-2909.128.5.699.
Xu, F., & Arriaga, R. I. (2007). Number discrimination in 10-month-old infants. British Journal of Developmental Psychology, 25(1), 103–108. https://doi.org/10.1348/026151005X90704.
Xu, F., & Spelke, E. (2000). Large number discrimination in 6-month-old infants. Cognition, 74, B1–B11.
Xu, F., Spelke, E. S., & Goddard, S. (2005). Number sense in human infants. Developmental Science, 8(1), 88–101. https://doi.org/10.1111/j.1467-7687.2005.00395.x.
Yee, D. K., & Eccles, J. S. (1988). Parent perceptions and attributions for children’s math achievement. Sex Roles, 19(5), 317.
You, S. (2013). Gender and ethnic differences in precollege mathematics coursework related to science, technology, engineering, and mathematics (STEM) pathways. School Effectiveness and School Improvement, 24(1), 64–86.
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Makosz, S., Zambrzycka, J., Kotsopoulos, D. (2019). The “Girl Crisis”: The Relationship Between Early Gender Differences and Future Mathematical Learning and Participation. In: Robinson, K., Osana, H., Kotsopoulos, D. (eds) Mathematical Learning and Cognition in Early Childhood. Springer, Cham. https://doi.org/10.1007/978-3-030-12895-1_2
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