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Articles

Technical boys and creative girls: the career aspirations of digitally skilled youths

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Pages 301-316 | Received 07 Jul 2016, Accepted 27 Apr 2017, Published online: 22 May 2017

References

  • Abbiss, J. (2011). Boys and machines: Gendered computer-identities, regulation and resistance. Gender and Education, 23, 601–617.10.1080/09540253.2010.549108
  • Adya, M., & Kaiser, K. M. (2005). Early determinants of women in the IT workforce: A model of girls’ career choices. Information Technology and People, 18, 230–259.10.1108/09593840510615860
  • Archer, L., DeWitt, J., & Wong, B. (2014). Spheres of influence: What shapes young people’s aspirations at age 12/13 and what are the implications for education policy? Journal of Education Policy, 29, 58–85.10.1080/02680939.2013.790079
  • Archer, L., Dawson, E., DeWitt, J., Seakins, A., & Wong, B. (2015). ‘Science capital’: A conceptual and empirical argument for extending Bourdieusian notions of capital beyond the arts. Journal of Research in Science Teaching, 52, 922–948.10.1002/tea.21227
  • Ardies, J., De Maeyer, S., Gijbels, D., & van Keulen, H. (2015). Students attitudes towards technology. International Journal of Technology and Design Education, 25, 43–65. doi:10.1007/s10798-014-9268-x
  • Ashcraft, C., Eger, E., & Friend, M. (2012). Women in IT: The facts. Boulder, CO: National Center for Women & Information Technology.
  • Buckingham, D. (2007). Media education goes digital: An introduction. Learning, Media and Technology, 32, 111–119.10.1080/17439880701343006
  • Bureau of Labor Statistics. (2015). Occupational outlook handbook. Retrieved from http://www.bls.gov/ooh/computer-and-information-technology/home.htm
  • Burr, V. (2003). Social constructionism. Hove: Routledge.
  • Butler, J. (1990). Gender trouble: Feminism and the subversion of identity. New York, NY: Routledge.
  • Cheryan, S., Plaut, V. C., Davies, P. G., & Steele, C. M. (2009). Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology, 97, 1045–1060.10.1037/a0016239
  • Christensen, R., Knezek, G., & Tyler-Wood, T. (2014). Student perceptions of Science, Technology, Engineering and Mathematics (STEM) content and careers. Computers in Human Behavior, 34, 173–186.10.1016/j.chb.2014.01.046
  • Cohoon, J. M., & Aspray, W. (Eds.). (2006). Women and information technology: Research on under representation. Cambridge, MA: MIT Press.
  • Creative Industries Federation. (2016). EBacc risks the future prosperity of Britain’s fastest growing sector. Retrieved from http://www.creativeindustriesfederation.com/assets/userfiles/files/Fed_PR0407_EBaccdebate.pdf
  • Croll, P. (2008). Occupational choice, socio‐economic status and educational attainment: a study of the occupational choices and destinations of young people in the British Household Panel Survey. Research Papers in Education, 23, 243–268.10.1080/02671520701755424
  • DCMS. (2016). Creative industries: 2016 Focus on. London: Department for Culture, Media & Sport.
  • DfE. (2013). Computing programmes of study: Key stages 3 and 4. DFE-00191-2013. London: Department for Education.
  • DfE. (2015). Further additional GCSE and A-level subject content consultation. London: Department for Education.
  • DiSalvo, B., Guzdial, M., Bruckman, A., & McKlin, T. (2014). Saving face while geeking out: Video game testing as a justification for learning computer science. Journal of the Learning Sciences, 23, 272–315.10.1080/10508406.2014.893434
  • Doubé, W., & Lang, C. (2012). Gender and stereotypes in motivation to study computer programming for careers in multimedia. Computer Science Education, 22, 63–78.10.1080/08993408.2012.666038
  • Drabowicz, T. (2014). Gender and digital usage inequality among adolescents: A comparative study of 39 countries. Computers & Education, 74, 98–111.10.1016/j.compedu.2014.01.016
  • ECU. (2015). Equality in higher education: Statistical report 2015 Part 2: Students. London: Equality Challenge Unit.
  • Europa. (2015). Skills & Jobs. Last updated: 02/03/2015. Retrieved from https://ec.europa.eu/digital-agenda/en/skills-jobs
  • Francis, B., & Skelton, C. (2005). Reassessing gender and achievement: Questioning contemporary key debates. London: Routledge.10.4324/9780203412923
  • Gee, J. P., & Hayes, E. R. (2010). Women and gaming: The Sims and 21st century learning. Basingstoke: Palgrave Macmillan.10.1057/9780230106734
  • Gibb, N. (2015). Nick Gibb: The social justice case for an academic curriculum. Retrieved from https://www.gov.uk/government/speeches/nick-gibb-the-social-justice-case-for-an-academic-curriculum
  • Google. (2015). Google diversity. Retrieved from http://www.google.co.uk/diversity/
  • Gov.uk. (2017, March 1). UK digital strategy. Retrieved from https://www.gov.uk/government/publications/uk-digital-strategy
  • Helsper, E. J., & Eynon, R. (2010). Digital natives: Where is the evidence? British Educational Research Journal, 36, 503–520.10.1080/01411920902989227
  • Hill Collins, P. (2000). Black feminist thought: Knowledge, consciousness and the politics of empowerment (2nd ed.). New York, NY: Routledge.
  • House of Commons. (2016). Digital skills crisis. London: House of Commons Science and Technology Committee.
  • Howland, K., & Good, J. (2015). Learning to communicate computationally with Flip: A bi-modal programming language for game creation. Computers & Education, 80, 224–240.10.1016/j.compedu.2014.08.014
  • JCQ. (2015). Entry trends, gender and regional charts GCE 2015. London: Joint Councils for Qualifications.
  • JCQ. (2015). GCSE and entry level certificate results summer 2015. London: Joint Councils for Qualifications.
  • Kemp, P., Wong, B., & Berry, M. (2016). The Roehampton computing education report: Data from 2015. London: University of Roehampton.
  • Koppi, T., Sheard, J., Naghdy, F., Edwards, S. L., & Brookes, W. (2010). Towards a gender inclusive information and communications technology curriculum: A perspective from graduates in the workforce. Computer Science Education, 20, 265–282.10.1080/08993408.2010.527686
  • Lasen, M. (2010). Education and career pathways in information communication technology: What are schoolgirls saying? Computers & Education, 54, 1117–1126.10.1016/j.compedu.2009.10.018
  • Liebenberg, J., Mentz, E., & Breed, B. (2012). Pair programming and secondary school girls’ enjoyment of programming and the subject Information Technology (IT). Computer Science Education, 22, 219–236.10.1080/08993408.2012.713180
  • Margolis, J., & Fisher, A. (2002). Unlocking the clubhouse: Women in computing. Cambridge: MIT Press.
  • Massanari, A. (2017). Gamergate and the Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures. New Media & Society, 19, 329–346.
  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). Thousand Oaks, CA: Sage.
  • OECD. (2012). Pisa in focus 14: What kinds of careers do boys and girls expect for themselves? Paris: OECD Publishing.
  • Ofcom. (2015). Adults’ media use and attitudes: Report 2015. London: Office of Communication.
  • Robertson, J. (2013). The influence of a game-making project on male and female learners’ attitudes to computing. Computer Science Education, 23, 58–83.10.1080/08993408.2013.774155
  • Royal Society. (2012). Computing in schools: Shut down or restart. London: Royal Society.
  • Scantlebury, K., & Baker, D. (2007). Gender issues in science education research: Remembering where the difference lies. In S. Abell & N. Lederman (Eds.), Handbook of research on science education (pp. 257–286). Mahwah, NJ: Lawrence Erlbaum.
  • Sefton-Green, J., & Brown, L. (2014). Mapping learner progression into digital creativity. Oxford: Nominet Trust.
  • Stoeger, H., Duan, X., Schirner, S., Greindl, T., & Ziegler, A. (2013). The effectiveness of a one-year online mentoring program for girls in STEM. Computers & Education, 69, 408–418.10.1016/j.compedu.2013.07.032
  • Stoilescu, D., & Egodawatte, G. (2010). Gender differences in the use of computers, programming, and peer interactions in computer science classrooms. Computer Science Education, 20, 283–300.10.1080/08993408.2010.527691
  • Twitter. (2015). Building a Twitter we can be proud of. Retrieved from https://blog.twitter.com/2014/building-a-twitter-we-can-be-proud-of
  • van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2014). The digital divide shifts to differences in usage. New Media & Society, 16, 507–526.10.1177/1461444813487959
  • Varma, R. (2007). Decoding the female exodus from computing education. Information, Communication & Society, 10, 181–193.10.1080/13691180701307396
  • Varma, R. (2010). Why so few women enroll in computing? Gender and ethnic differences in students’ perception. Computer Science Education, 20, 301–316.
  • Vekiri, I. (2013). Information science instruction and changes in girls’ and boys’ expectancy and value beliefs: In search of gender-equitable pedagogical practices. Computers & Education, 64, 104–115.10.1016/j.compedu.2013.01.011
  • West, C., & Zimmerman, D. H. (1987). Doing gender. Gender and Society, 1, 125–151.10.1177/0891243287001002002
  • Wong, B. (2015). Careers ‘from’ but not ‘in’ science: Why aspirations to be a scientist are challenging for minority ethnic students? Journal of Research in Science Teaching., 52, 979–1002.10.1002/tea.21231
  • Wong, B. (2016). Science education, career aspirations and minority ethnic students. Basingstoke: Palgrave Macmillan.10.1057/9781137533982
  • Wong, B. (2017). ‘I’m good, but not that good’: Digitally-skilled youth’s identity in computing. Computer Science Education, 26, 299–317.10.1080/08993408.2017.1292604