Author :
Abstract
Prior study on the differences in the performance levels of male and female students in elementary and middle school mathematics show mixed results. While significant differences are reported in some studies, others show no such differences. This study assessed differences that might exist in the performance levels (self-reported grades) and beliefs of male and female students in mathematics. One-hundred and twenty-nine (129) students, sixty-seven (67) female and sixty-two (62) male, completed survey questions ranging from fourth through seventh grade. There was no significant difference in the performance level of male and female students; however, whereas male students felt more successful and labeled mathematics as one of their best subjects, their female peers largely reported the contrary. Stereotypes were found to have started in fifth grade and widen up to seventh grade.
Keywords
Abstract
Prior study on the differences in the performance levels of male and female students in elementary and middle school mathematics show mixed results. While significant differences are reported in some studies, others show no such differences. This study assessed differences that might exist in the performance levels (self-reported grades) and beliefs of male and female students in mathematics. One-hundred and twenty-nine (129) students, sixty-seven (67) female and sixty-two (62) male, completed survey questions ranging from fourth through seventh grade. There was no significant difference in the performance level of male and female students; however, whereas male students felt more successful and labeled mathematics as one of their best subjects, their female peers largely reported the contrary. Stereotypes were found to have started in fifth grade and widen up to seventh grade.
Keywords
- Ainley, M., Corrigan, M., & Richardson, N. (2005). Students, tasks and emotions: Identifying the contribution of emotions to students' reading of popular culture and popular science texts. Learning and Instruction, 15, 433-447. http://dx.doi.org/10.1016/j.learninstruc.2005.07.011
- Ashby, F.G., Isen, A.M., & Turken, A.U. (1999). A neuropsychological theory of positive affect and itsinfluence on cognition. Psychological Review, 106, 529-550. http://dx.doi.org/10.1037/0033295X.106.3.529
- Babcock, P. (2010). Real costs of nominal grade inflation? New evidence from students course evaluations. Economic Inquiry, 48(4), 983-996. http://dx.doi.org/10.1111/j.1465-7295.2009.00245.x
- Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter?. Gender and Education, 17(4), 369-386. http://dx.doi.org/10.1080/09540250500145072
- Bong, M. (2004). Academic motivation in self-efficacy, task value, achievement goal orientations, and attributional beliefs. The Journal of Educational Research, 97(6), 287-298.
- Broussard, S. C., & Garrison, M. E. (2004). The relationship between classroom motivation and academic achievement in elementary school aged children. Family and Consumer Sciences Research Journal, 33(2), 106-120. http://dx.doi.org/ 10.1177/1077727X04269573
- Ceci, S. J., & Williams, W. M. (2011). Understanding current causes of women's underrepresentation in science. Proceedings of the National Academy of Sciences, 108(8), 3157-3162. http://dx.doi.org/10.1073/pnas.1014871108
- Ceci, J. S., & Williams, M. W. (2010). Sex differences in math-intensive fields. Current Directions in Psychological Science, 19(5), 275—279. http://dx.doi.org/ 10.1177/0963721410383241
- Cvencek, D., Meltzoff, A. N., & Greenwald, A. G. (2011). Math–gender stereotypes in elementary school children. Child Development, 82(3), 766-779. http://dx.doi.org/10.1111/j.1467-8624.2010.01529.x
- Eccles, J. S. (2007). Where are all of the women? In S. J. Ceci & W. M. Williams (Eds.), Why aren’t more women in science? Top researchers debate the evidence (pp. 199–210). Washington, DC: American Psychological Association.
- Eccles, J. S., Wigfield, A., & Schiefele, U. (1998). Motivation to succeed. In W. Damon & N. Eisenberg (Eds.), Handbook of Child Psychology, 3,(pp. 1017-1095). New York: John Wiley.
- Ellison, G., & Swanson, A. (2010). The gender gap in secondary school mathematics at high achievement levels: Evidence from the American mathematics competitions. Journal of Economic Perspectives, 24(2), 109—128. http://dx.doi.org/10.1257/jep.24.2.109
- Fogg, P. (2005). Harvard's president wonders aloud about women in science and math. The Chronicle of Higher Education, 51(21), A12.
- 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.
- Frenzel, A. C., Pekrun, R., & Goetz, T. (2007). Girls and mathematics – a ‘‘hopeless’’ issue? A control-value approach to gender differences in emotions towards mathematics. European Journal of Psychology of Education, 22, 497–514.
- Glover, J. (2002). Women and scientific employment. Science Studies, 15(1), 29-45.
- Griffith, A. L. (2010). Persistence of women and minorities in STEM field majors: Is it the school that matters? Economics of Education Review, 29(6), 911-922. http://dx.doi.org/10.1016/j.econedurev.2010.06.010
- Guiso, L., Monte, F., Sapienza, P., & Zingales, L. (2008). Culture, gender, and math. Science-New York Then Washington, 320(5880), 1164. http://www.jstor.org/stable/20054823
- 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.
- Hill, C., Corbett, C., & St Rose, A. (2010). Why So Few? Women in science, technology, engineering, and mathematics. American Association of University Women. 1111 Sixteenth Street NW, Washington, DC 20036.
- 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., 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 through twelve. Child Development, 73(2), 509-527. http://dx.doi.org/10.1111/1467-8624.00421
- Jha, J., & Kelleher, F. (2006) Boys’ underachievement in education: An exploration in selected commonwealth countries. London: Commonwealth Secretariat and Commonwealth of Learning. Retrieved from www.col.org/colweb/site/pid/4309
- Masanja, V. G. (2010, October). Increasing women’s participation in science, mathematics and technology education and employment in Africa. In United Nations Division for the Advancement of Women: Expert group meeting: Gender, science, and technology. Butare, Huye, Rwanda: National University of Rwanda & University of Dar es Salaam.
- McIntyre, B. R., Paulson, M. R., & Lord, G. C. (2003). Alleviating women’s mathematics stereotype threat through salience of group achievements. Journal of Experimental Social Psychology, 39, 83—90. http://dx.doi.org/10.1016/S0022-1031(02)00513-9
- Middleton, J. A., & Spanias, P. A. (1999). Motivation for achievement in mathematics: Findings, generalizations, and criticisms of the research. Journal for Research in Mathematics Education, 65-88.
- Milgram, D. (2011). How to recruit women and girls to the science, technology, engineering, and math (stem) classroom. Technology and Engineering Teacher, 71(3), 4-11.
- Muzzatti, B., & Agnoli, F. (2007). Gender and mathematics: Attitudes and stereotype threat susceptibility in Italian children. Developmental Psychology, 43, 747–759. http://dx.doi.org/10.1037/0012-1649.43.3.747
- Nosek, B. A., Banaji, M. R., & Greenwald, A. G. (2002). Math= male, me= female, therefore math≠ me. Journal of Personality and Social Psychology, 83(1), 44. http://dx.doi.org/10.1037/0022-3514.83.1.44
- Obama, Barack. "Remarks by the President on the "Educate to Innovate" Campaign and Science Teaching and Mentoring Awards." The White House. 06 01 2010. Address.
- Ogunjuyigbe, O. P., Ojofeitimi, O. B., & Akinlo, A. (2006). Science education in Nigeria: An examination of people’s perceptions about female participation in science, mathematics, and technology. Journal of Science Education and Technology, 15(3) 277-284. http://dx.doi.org/10.1007/s10956-006-9014-6
- Rosser, S. V. (1989). Teaching techniques to attract women to science: Applications of feminist theories and methodologies. Women’s Studies International Forum, 12(3), 363-377. http://dx.doi.org/10.1016/S02775395(89)80013-5
- Şengül, S., & Gülbağcı, H. (2012). Evaluation of number sense on the subject of decimal numbers of the secondary stage students in Turkey. International Online Journal of Educational Sciences, 4(2).
- Simon, K. M. (2000). The evolving role of women in mathematics. MathematicsbTeacher, 93(9), 782-786.
- Stewart, P. W., Lonky, E., Reihman, J., Pagano, J., Gump, B. B., & Darvill, T. (2008). The relationship between prenatal PCB exposure and intelligence (IQ) in 9-year-old children. Environmental Health Perspectives, 116(10), 1416.
- Valla, M. J., & Ceci, J. S. (2011). Can sex differences in science be tied to the long reach of prenatal hormone. Perspectives on Psychological Science, 6(2), 134-146. http://dx.doi.org/10.1177/1745691611400236
- Zeldin, L. A., Britner, L. S., & Pajares, F. (2008). A comparative study of the self-efficacy beliefs of successful men and women in mathematics, science, and technology careers. Journal of Research in Science Teaching, 45(9), 1036-1058. http://dx.doi.org/10.1002/tea.20195