2,538
Views
0
CrossRef citations to date
0
Altmetric
Articles

Invisible barriers: how gender and class intersect to impact upon science participation in Irish secondary schools

ORCID Icon, ORCID Icon & ORCID Icon
Pages 1532-1551 | Received 08 Nov 2022, Accepted 12 May 2023, Published online: 31 May 2023

References

  • Alper, J. (1993). The pipeline is leaking women all the way along. Science, 260(5106), 409–411. https://doi.org/10.1126/science.260.5106.409
  • Archer, L., Dawson, E., DeWitt, J., Seakins, A., & Wong, B. (2015). “Science capital”: A conceptual, methodological, and empirical argument for extending bourdieusian notions of capital beyond the arts. Journal of Research in Science Teaching, 52(7), 922–948. https://doi.org/10.1002/tea.21227
  • Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2012). Science aspirations, capital, and family habitus. American Educational Research Journal, 49(5), 881–908. https://doi.org/10.3102/0002831211433290
  • Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2013). ‘Not girly, not sexy, not glamorous’: Primary school girls’ and parents’ constructions of science aspirations. Pedagogy, Culture & Society, 21(1), 171–194. https://doi.org/10.1080/14681366.2012.748676
  • Aschbacher, P. R., Ing, M., & Tsai, S. M. (2013). Boosting student interest in science. Phi Delta Kappan, 95(2), 47–51. https://doi.org/10.1177/003172171309500211
  • Banerjee, P. A. (2016). A systematic review of factors linked to poor academic performance of disadvantaged students in science and maths in schools. Cogent Education, 3(1), 1178441. https://doi.org/10.1080/2331186X.2016.1178441
  • Bertrand, M., & Duflo, E. (2017). Handbook of economic field experiments. Handbook of Economic Field Experiments, 1, 309–393. https://doi.org/10.1016/bs.hefe.2016.08.004
  • Bian, L., Leslie, S. J., & Cimpian, A. (2017). Gender stereotypes about intellectual ability emerge early and influence children’s interests. Science, 355(6323), 389–391. https://doi.org/10.1126/science.aah6524
  • Blakemore, J. E. O. (2003). Children's beliefs about violating gender norms: Boys shouldn't look like girls, and girls shouldn't act like boys. Sex Roles, 48(9), 411–419. https://doi.org/10.1023/A:1023574427720
  • 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. https://doi.org/10.1177/1076217518786955
  • Bowdich, S. (2009, February). Analysis of research exploring culturally responsive curricula in Hawaii. In Hawaii Educational Research Association Annual Conference (Vol. 7).
  • Bystydzienski, J. M. (2009). Why so few women? Explaining gendered occupational outcomes in science, technology, engineering and mathematics fields. Sex Roles, 60(9-10), 751–753. https://doi.org/10.1007/s11199-008-9548-6
  • Chambers, D. W. (1983). Stereotypic images of the scientist: The draw-a-scientist test. Science Education, 67(2), 255–265. https://doi.org/10.1002/sce.3730670213
  • Chaudhary, N., & Dutt, A. (2022). Women as agents of change: Exploring women leaders’ resistance and shaping of gender ideologies in Pakistan. Frontiers in Psychology, 13, 800334–800334. https://doi.org/10.3389/fpsyg.2022.800334
  • Codiroli McMaster, N., & Cook, R. (2019). The contribution of intersectionality to quantitative research into educational inequalities. Review of Education, 7(2), 271–292. https://doi.org/10.1002/rev3.3116
  • Crenshaw, K. (1989). Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, 1989(1), 139–167.
  • Crenshaw, K. (1991). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review, 43, 1241–1299. http://dx.doi.org/10.2307/1229039.
  • Dasgupta, N., & Stout, J. G. (2014). Girls and women in science, technology, engineering, and mathematics. Policy Insights from the Behavioral and Brain Sciences, 1(1), 21–29. https://doi.org/10.1177/2372732214549471
  • Delaney, J. M., & Devereux, P. J. (2019). Understanding gender differences in STEM: Evidence from college applications✰. Economics of Education Review, 72, 219–238. https://doi.org/10.1016/j.econedurev.2019.06.002
  • Department of Education and Skills. (2019). A report on science, technology, engineering and mathematics (STEM) education. The STEM Education Review Group, November 2016, Ireland.
  • Eccles, J. S., & Wigfield, A. (1995). In the mind of the actor: The structure of adolescents’ achievement task values and expectancy-related beliefs. Personality and Social Psychology Bulletin, 21(3), 215–225. https://doi.org/10.1177/0146167295213003
  • Eidelman, L., Hazzan, O., Lapidot, T., Matias, Y., Raijman, D., & Segalov, M. (2011). Mind the (gender) gap. ACM Inroads, 2(3), 64–70. https://doi.org/10.1145/2003616.2003637
  • Gilleece, L., Nelis, S. M., Fitzgerald, C., & Cosgrove, J. (2020). Reading, mathematics and science achievement in DEIS schools: Evidence from PISA 2018. Educational Research Centre.
  • Grabe, S. (2020). Research methods in the study of intersectionality in psychology: Examples informed by a decade of collaborative work with majority world women’s grassroots activism. Frontiers in Psychology, 11, 494309. https://doi.org/10.3389/fpsyg.2020.494309
  • Haden, C. A. (2010). Talking about science in museums. Child Development Perspectives, 4(1), 62–67.
  • Hancock, A. M. (2007). When multiplication doesn't equal quick addition: Examining intersectionality as a research paradigm. Perspectives on Politics, 5(1), 63–79. https://doi.org/10.1017/S1537592707070065
  • Harackiewicz, J. M., Rozek, C. S., Hulleman, C. S., & Hyde, J. S. (2012). Helping parents to motivate adolescents in mathematics and science. Psychological Science, 23(8), 899–906. https://doi.org/10.1177/0956797611435530
  • Harford, J. (2018). The perspectives of women professors on the professoriate: A missing piece in the narrative on gender equality in the university. Education Sciences, 8(2), 50. https://doi.org/10.3390/educsci8020050
  • Li, Q. (2007). Mathematics, science, and technology in secondary schools: Do gender and region make a difference? Canadian Journal of Learning and Technology, 33(1), 44–57. https://doi.org/10.21432/T2N018.
  • Lunnemann, P., Jensen, M. H., & Jauffred, L. (2019). Gender bias in Nobel prizes. Palgrave Communications, 5(1), 1–4. https://doi.org/10.1057/s41599-019-0256-3
  • Makarova, E., Aeschlimann, B., & Herzog, W. (2019). The gender gap in STEM fields: The impact of the gender stereotype of math and science on secondary students’ career aspirations. In Frontiers in Education (Vol. 4, p. 60). Frontiers Media SA.
  • Maltese, A. V., & Tai, R. H. (2010). Eyeballs in the fridge: Sources of early interest in science. International Journal of Science Education, 32(5), 669–685. https://doi.org/10.1080/09500690902792385
  • Marginson, S., Tytler, R., Freeman, B., & Roberts, K. (2013). SCIENCE: Country comparisons: Final report. Australian Council of Learned Academies.
  • Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. Journal of Experimental Child Psychology, 160, 92–106. https://doi.org/10.1016/j.jecp.2017.03.013
  • Mendick, H., & Francis, B. (2012). Boffin and geek identities: Abject or privileged? Gender and Education, 24(1), 15–24. https://doi.org/10.1080/09540253.2011.564575
  • Moote, J., Archer, L., DeWitt, J., & MacLeod, E. (2020). Science capital or STEM capital? Exploring relationships between science capital and technology, engineering, and maths aspirations and attitudes among young people aged 17/18. Journal of Research in Science Teaching, 57(8), 1228–1249. https://doi.org/10.1002/tea.21628
  • Nelis, S. M., Gilleece, L., Fitzgerald, C., & Cosgrove, J. (2021). Beyond achievement: Home, school and wellbeing findings from PISA 2018 for students in DEIS and non-DEIS schools. Educational Research Centre.
  • OECD, Pisa. (2014). Results: What students know and can do-student performance in mathematics reading, and science (Vol. 1, revised edition). OECD Publishing.
  • O'Sullivan, K., Bird, N., Robson, J., & Winters, N. (2019). Academic identity, confidence and belonging: The role of contextualised admissions and foundation years in higher education. British Educational Research Journal, 45(3), 554–575. https://doi.org/10.1002/berj.3513
  • Pinkard, N., Erete, S., Martin, C. K., & McKinney de Royston, M. (2017). Digital youth divas: Exploring narrative-driven curriculum to spark middle school girls’ interest in computational activities. Journal of the Learning Sciences, 26(3), 477–516. https://doi.org/10.1080/10508406.2017.1307199
  • Rosette, A. S., & Tost, L. P. (2010). Agentic women and communal leadership: How role prescriptions confer advantage to top women leaders. Journal of Applied Psychology, 95(2), 221–235. https://doi.org/10.1037/a0018204
  • Rowan-Kenyon, H. T., Swan, A. K., Deutsch, N. L., & Gansneder, B. (2010). Academic success for working adult students. In Understanding the working college student: New research and its implications for policy and practice (pp. 93–112). Stylus.
  • Smyth, E., McCoy, S., & Kingston, G. (2015). Learning from the evaluation of DEIS. Economic and Social Research Institute.
  • Symington, A. (2004). Intersectionality: A tool for gender and economic justice. Women’s Rights and Economic Change, 9, 1–8.
  • Wang, C. L., & Liou, P. Y. (2017). Students’ motivational beliefs in science learning, school motivational contexts, and science achievement in Taiwan. International Journal of Science Education, 39(7), 898–917. https://doi.org/10.1080/09500693.2017.1310410
  • Wang, H. H., Lin, H. S., Chen, Y. C., Pan, Y. T., & Hong, Z. R. (2021). Modelling relationships among students’ inquiry-related learning activities, enjoyment of learning, and their intended choice of a future STEM career. International Journal of Science Education, 43(1), 157–178. https://doi.org/10.1080/09500693.2020.1860266
  • Wang, M. T., & Degol, J. L. (2017). Gender gap in science, technology, engineering, and mathematics (STEM): Current knowledge, implications for practice, policy, and future directions. Educational Psychology Review, 29(1), 119–140. https://doi.org/10.1007/s10648-015-9355-x
  • Wang, M. T., Eccles, J. S., & Kenny, S. (2013). Not lack of ability but more choice. Psychological Science, 24(5), 770–775. https://doi.org/10.1177/0956797612458937
  • Watt, H. M., Shapka, J. D., Morris, Z. A., Durik, A. M., Keating, D. P., & Eccles, J. S. (2012). Gendered motivational processes affecting high school mathematics participation, educational aspirations, and career plans: A comparison of samples from Australia, Canada, and the United States. Developmental Psychology, 48(6), 1594–1611. https://doi.org/10.1037/a0027838