Entrenched gendered pathways in science,technology,engineering and mathematics: Engaging girls through collaborative career development

Abstract

Gendered educational and occupational pathways are entrenched in many countries. The underrepresentation of women in the science, technology, engineering and mathematics (STEM) fields has ramifications for individuals and for workforces. Girls’ declining interest in STEM coincides with an increasing demand for STEM-skilled professionals across the globe. This conceptual analysis establishes the extent of STEM gender inequality in Australia and argues that the lack of women in these fields is problematic. Research using Eccles’ expectancy-value theory explains gender differences in mathematics and science expectations and values. Implications for career advisers are outlined including: recommendations for engaging girls in STEM while they are in primary school; collaborating with teachers; using role models and mentors; working with families to promote STEM; and focussing on specific groups of girls. The aim of this analysis is to assist career advisers to explore STEM educational and occupational pathways with girls.

Keywords

Gender science technology engineering and mathematics career choice education expectancy-value theory

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References

Ainley

Kos

Nicholas

(2008) Participation in science, mathematics and technology in Australian education. ACER Research Monograph 63, Melbourne, Australia: ACER.

Anderman

E. M.

Anderman

L. M.

(2014) Classroom motivation, 2nd ed. Boston, MA: Pearson Education.

Anlezark

Lim

Semo

Nguyen

(2008) From STEM to leaf: Where are Australia’s science, mathematics, engineering and technology (STEM) students heading?, Canberra, Australia: NCVER.

Archer

DeWitt

Osborne

Dillon

Willis

Wong

(2013) ‘Not girly, not sexy, not glamorous’: Primary school girls’ and parents’ constructions of science aspirations. Pedagogy, Culture & Society 21: 171–194. doi: 10.1080/14681366.2012.748676.

Australian Bureau of Statistics. (2014). Perspectives on education and training: Australians with qualifications in science, technology, engineering and mathematics (STEM), 2010–11. (Cat. No. 4250.0.55.005). Retrieved from http://www.abs.gov.au.

Barrington, F. (2012). Year 12 mathematics student numbers 2002–2011. Retrieved from http://www.amsi.org.au/publications/amsi-publications/929-2011-year-12-mathematics-student-numbers.

Bassot

(2012) Upholding equality and social justice: A social constructivist perspective on emancipatory career guidance practice. Australian Journal of Career Development 21: 3–13. doi: 10.1177/103841621202100202.

Beavis

Curtis

(2005) What do students think of work? Are they on the right page? Junior secondary school students’ perceptions of the world of work, Sydney, Australia: The Smith Family.

Beavis

Murphy

Bryce

Corrigan

(2004) Post-school plans: Aspirations, expectations and implementation, Sydney, Australia: The Smith Family.

10.

Bell

O’Halloran

Saw

Zhao

(2009) Women in science in Australia: Maximising productivity, diversity and innovation, Canberra, Australia: Federation of Australian Scientific and Technological Societies.

11.

Bryce

Anderson

Frigo

McKenzie

(2007) Australian young people: Their stories, their families and post-school plans, Sydney, Australia: The Smith Family.

12.

Cassie

Chen

(2012) The gender-mediated impact of a career development intervention. Australian Journal of Career Development 21: 3–13. doi: 10.1177/103841621202100102.

13.

Ceci

S. J.

Williams

W. M.

Barnett

S. M.

(2009) Women’s underrepresentation in science: Sociocultural and biological considerations. Psychological Bulletin 135: 218–261. doi: 10.1037/a0014412.

14.

Chhin

C. S.

Bleeker

M. M.

Jacobs

J. E.

(2008) Gender-typed occupational choices: The long-term impact of parents’ beliefs and expectations. In: Watt

H. M. G.

Eccles

J. S.

(eds) Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences, Washington, DC: American Psychological Association, pp. 215–384.

15.

Cox

P. J.

Leder

Forgasz

(2004) Victorian Certificate of Education: Mathematics, science and gender. Australian Journal of Education 48: 27–46.

16.

Department of Education Employment and Workplace Relations (2012) National career development strategy, Canberra, Australia: DEEWR.

17.

Derks

Krabbendam

(2013) Is the brain the key to a better understanding of gender differences in the classroom? International Journal of Gender, Science and Technology 5: 281–291.

18.

Digital Divas Club. (2012). Digital divas: Designing approaches to enthuse girls’ interest in ICT studies and ICT careers. Final report. Retrieved from http://digitaldivasclub.org/vic/webfm_send/8.

19.

Driessen

(1993) Women as mature aged engineering students. Australian Journal of Career Development 2: 26–30.

20.

Eccles

(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: 78–89. doi: 10.1080/00461520902832368.

21.

Eccles

(2011) Gendered educational and occupational choices: Applying the Eccles et al. model of achievement-related choices. International Journal of Behavioural Development 35: 195–201. doi: 10.1177/0165025411398185.

22.

Eccles

Adler

Futterman

Goff

Kaczala

Meece

Midgley

(1983) Expectancies, values and academic behaviors. In: Spence

J. T.

(ed.) Achievement and achievement motives: Psychological and sociological approaches, San Francisco, CA: W.H. Freeman.

23.

Eliot

(2009) Pink brain, blue brain: How small differences grow into troublesome gaps and what we can do about it, New York, NY: Houghton Mifflin Harcourt.

24.

Fine

(2010) Delusions of gender: The real science behind sex differences, London, UK: Icon Books.

25.

Frome

Alfeld

Eccles

Barber

(2008) Is the desire for a family-flexible job keeping young women out of male-dominated occupations? In: Watt

H. M. G.

Eccles

J. S.

(eds) Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences, Washington, DC: American Psychological Association, pp. 195–214.

26.

Goodrum

Druhan

Abbs

(2011) The status and quality of year 11 and 12 science in Australian schools, Canberra, Australia: Australian Academy of Science.

27.

Graduate Careers Australia (2014) An analysis of the gender wage gap in the Australian graduate labour market, 2013, Melbourne, Australia: Graduate Careers Australia.

28.

Harackiewicz

J. M.

Rozek

C. S.

Hulleman

C. S.

Hyde

J. S.

(2012) Helping parents to motivate adolescents in mathematics and science: An experimental test of a utility-value intervention. Psychological Science 23: 899–906. doi: 10.1177/0956797611435530.

29.

Hyde

J. S.

(2007) Women in science: Gender similarities in abilities and sociocultural forces. In: Ceci

S. J.

Williams

W. M.

(eds) Why aren’t more women in science?: Top researchers debate the evidence, Washington, DC: American Psychological Association, pp. 131–145.

30.

Hyde

J. S.

(2014) Gender similarities and differences. Annual Review of Psychology 65: 373–398. doi: 10.1146/annurev-psych-010213-115057.

31.

Jensen

Bøe

M. V.

(2013) The influence of a two-day recruitment event on female upper secondary students’ motivation for science and technology higher education. International Journal of Gender, Science and Technology 5: 317–337.

32.

Kiwana, L., Kumar, A., & Randerson, N. (2011). An investigation into why the UK has the lowest proportion of female engineers in the EU. Retrieved from http://www.agcas.org.uk/assets/download?file=2396&parent=965.

33.

Lyons

Quinn

Rizk

Anderson

Hubber

Kenny

Wilson

(2012) Starting out in STEM: A study of young men and women in first year science, technology, engineering and mathematics courses, Armidale, Australia: University of New England, SiMERR National Research Centre.

34.

Johnson

(2008) Mathematics as the critical filter: Curricular effects on gendered career choices. In: Watt

H. M. G.

Eccles

J. S.

(eds) Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences, Washington, DC: American Psychological Association, pp. 55–83.

35.

Mack

Walsh

(2013) Mathematics and science combinations NSW HSC 2001–2011 by gender, Sydney, Australia: The University of Sydney, School of Mathematics and Statistics.

36.

Marginson

Tytler

Freeman

Roberts

(2013) STEM: Country comparisons. International comparisons of science, technology, engineering and mathematics (STEM) education, Melbourne, Australia: Australian Council of Learned Academies.

37.

McMahon

Carroll

Gillies

(2001) Occupational aspirations of sixth-grade children. Australian Journal of Career Development 10: 25–31. doi: 10.1177/103841620101000107.

38.

McMahon

Limerick

Gillies

(2002) Structured mentoring: Career and transition support service for girls. Australian Journal of Career Development 11: 7–12.

39.

OECD (2007) Understanding the brain: The birth of a learning science, Paris, France: OECD Publications.

40.

OECD (2013) PISA 2012 results. Ready to learn: Students’ engagement, drive and self-beliefs (Volume III), Paris, France: OECD Publishing.

41.

OECD (2014) PISA 2012 results. What students know and can do: Student performance in mathematics, reading and science (Volume I), Paris, France: OECD Publishing.

42.

Office of the Chief Scientist (2012) Mathematics, engineering & science in the national interest, Canberra, Australia: Commonwealth of Australia.

43.

Office of the Chief Scientist (2014) Science, technology, engineering and mathematics: Australia’s future, Canberra, Australia: Commonwealth of Australia.

44.

Patton

Creed

(2007) Occupational aspirations and expectations of Australian adolescents. Australian Journal of Career Development 16: 46–59. doi: 10.1177/103841620701600108.

45.

Schunk

D. H.

Pintrich

P. R.

Meece

J. L.

(2008) Motivation in education: Theory, research, and applications, Upper Saddle River, NJ: Pearson Education.

46.

Sells

L. W.

(1980) Mathematics: The invisible filter. Engineering Education 70: 340–341.

47.

Shapka

J. D.

Domene

J. F.

Keating

D. P.

(2008) Gender, mathematics achievement, and the educational and occupational aspirations of Canadian youth. In: Watt

H. M. G.

Eccles

J. S.

(eds) Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences, Washington, DC: American Psychological Association, pp. 27–54.

48.

Sikora

(2014) Gendered pathways into the post-secondary study of science, Adelaide, Australia: NCVER.

49.

Stout

J. G.

Dasgupta

Hunsinger

McManus

M. A.

(2011) Steming the tide: Using ingroup experts to inoculate women's self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology 100: 255–270. doi: 10.1037/a0021385.

50.

The Smith Family (2007) Connecting for careers: The iTrack on-line youth mentoring program, Sydney, Australia: The Smith Family.

51.

Tytler

Osborne

Williams

Tytler

Cripps Clark

(2008) Opening up pathways: Engagement in STEM across the primary-secondary school transition, Canberra, Australia: Department of Education, Employment and Workplace Relations.

52.

Victorian Curriculum and Assessment Authority. (2014). Senior secondary certificate statistical information 2013. Retrieved from http://www.vcaa.vic.edu.au/Pages/vce/statistics/2013/index.aspx.

53.

Wang

M.T.

Degol

(2013) Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields. Developmental Review 33: 304–340. doi: 10.1016/j.dr.2013.08.001.

54.

Watt

H. M. G.

(2008a) Gender and occupational outcomes: An introduction. In: Watt

H. M. G.

Eccles

J. S.

(eds) Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences, Washington, DC: American Psychological Association, pp. 3–26.

55.

Watt

H. M. G.

(2008b) What motivates females and males to pursue sex-stereotyped careers? In: Watt

H. M. G.

Eccles

J. S.

(eds) Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences, Washington, DC: American Psychological Association, pp. 87–113.

56.

Watt, H. M. G., & Eccles, J. S. (Eds.) (2008) Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences, Washington, DC: American Psychological Association.

57.

Wheelahan

Knowles

(1993) Young women's career choices: A longitudinal and cross-sectional study. Australian Journal of Career Development 2: 18–22.

58.

Wigfield, A., & Eccles, J. S. (Eds.) (2002) Development of achievement motivation, New York, NY: Academic Press.