There is still a gender bias in the Science, Technology, Engineering and Mathematics (STEM) sector. The progress towards gender balance has been very slow. The situation is not good enough in engineering education and is even worse in computer science. Many studies have been carried out and many projects and efforts have been made to accelerate the development over the years. Influencing factors are many when young people are deciding what subject to study at university and the trend is still for males to go for STEM studies and females to aim for health sciences and social sciences. This paper presents findings from a study on gender differences in engineering and computer science by questioning female students at the university level to learn what could be the reasons for more girls preferring STEM study and how they are doing in their study. This topic touches on CDIO Standards 1 (program philosophy), 7 and 8 (new methods of teaching and learning).
Pages:
866-878
Affiliations:
Reykjavik University, Iceland
Keywords:
STEM
Gender differences in education
Choice of studies
CDIO Standard 1
CDIO Standard 7
CDIO Standard 8
Year:
2023
Reference:
AAUW (2018). The Simple Truth about the Gender Pay Gap. American Association of University Women: Washington, DC. https://www.aauw.org/resources/research/simple-truth/:
Alam, A. (2022). Psychological, Sociocultural, and Biological Elucidations for Gender Gap in STEM Education: A Call for Translation of Research into Evidence-Based Interventions. Proceedings of the 2nd International Conference on Sustainability and Equity (ICSE-2021), p. 95-107. doi.org/10.2991/ahsseh.k.220105.012:
Amelink, C. T., & Meszaros, P. S. (2011). A comparison of educational factors promoting or discouraging the intent to remain in engineering by gender. European Journal of Engineering Education, 36(1), 47-62. https://doi.org/10.1080/03043797.2010.531695:
Andersen, S., & Hjortskov, M. (2022). The unnoticed influence of peers on educational preferences. Behavioural Public Policy, 6(4), 530-553. doi:10.1017/bpp.2019.14:
Ashcraft, C., Eger, E., & Friend, M. (2012). Girls in iT: the facts. http://www.bgwomeninict.org/ language/bg/uploads/files/documents__0/documents__83629f0d73af0b954068af2b53b04dc5.pdf:
Bello, A., Blowers, T., Schneegans, S., & Straza T. (2021). To be smart, the digital revolution will need to be inclusive. UNESCO Science Report. UNESCO, Paris. https://unesdoc.unesco.org/ark:/48223/pf0000375429 :
Bandura, A. (1977). Social learning theory. Prentice-Hall, New Jersey.:
Bandura, A. (1982). Self-efficacy mechanism in human agency. Am. Psychol., 37 (2) (1982), pp. 122-147, 10.1037/0003-066X.37.2.122:
Bandura, A. (1989) Human agency in social cognitive theory. Am. Psychol., 44 (9), pp. 1175-1184, 10.1037/0003-066X.44.9.1175:
Berge, M., Silfver, E., & Danielsson, A. (2019). In search of the new engineer: gender, age, and social class in information about engineering education. European Journal of Engineering Education, 44(5), 650-665. https://doi.org/10.1080/03043797.2018.1523133:
Buser, T., Niederle, M., & Hessel, O. (2014). Gender, competitiveness, and career choices. The Quarterly Journal of Economics, 129 (3), pp. 1409-1447:
Brenøe, A., A., & U. Zolitz, U. (2018). Exposure to more female peers widens the gender gap in STEM participation. University of Zurich, Department of Economics. Working Paper No. 285: https://ssrn.com/abstract=3169812 or 10.2139/ssrn.3169812:
Brown, P. L., Concannon, J. P., Marx, D., Donaldson, C., & Black, A. (2016). An Examination of Middle School Students’ STEM Self-Efficacy with Relation to Interest and Perceptions of STEM. Journal of STEM Education: Innovations and Research; Auburn, 17(3), 27–38.:
Catalyst (2022). Women in Science, Technology, Engineering, and Mathematics (STEM). https://www.catalyst.org/research/women-in-science-technology-engineering-and-mathematics-stem/:
Cedefop, (2016). Skill shortage and surplus occupations in Europe: Cedefop insights into which occupations are in high demand – and why. Publications Office, https://data.europa.eu/doi/10.2801/05116:
Cheryan, S., Master, A., & Meltzoff, A. N. (2015). Cultural stereotypes as gatekeepers: increasing girls’ interest in computer science and engineering by diversifying stereotypes. Frontiers in Psychology, 6. https://doi.org/10.3389/fpsyg.2015.00049:
Cheryan, S., Plaut, V., Davies, P., & Steele, C. (2009). Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology, 97(6), 1045–1060. https://doi.org/10.1037/a0016239.:
Dasgupta, N. (2011). Ingroup experts and peers as social vaccines who inoculate the self-concept: The stereotype inoculation model. Psychological Inquiry, 22(4), 231–246.:
European Commission (2017). Labour Market and Wage Developments in Europe - Annual Review. http://ec.europa.eu/social/main.jsp?catId=738&langId=en&pubId=8040&further Pubs =yes :
European Union (2016). Does the EU need more STEM graduates? Report, Publications Office of the European Union. Danish Technological Institute Doi: 10.2766/000444 https://publications.europa.eu/en/publication-detail/-/publication/60500ed6-cbd5-11e5-a4b5-01aa75ed71a1/language-en doi: 10.1177/0146167217695551:
Funke, A., Berges, M., & Hubwieser, P. (2016). Different Perceptions of Computer Science. International Conference on Learning and Teaching in Computing and Engineering (LaTICE), Mumbai, India, 2016, pp. 14-18, doi: 10.1109/LaTiCE.2016.1.:
González-Pérez, S., Mateos de Cabo, R., & Sáinz, M. (2020). Girls in STEM: Is it a female role-model thing? Frontiers in psychology, 11, 2204.:
Höhne, E., & Zander, L. (2019). Sources of Male and Female Students' Belonging Uncertainty in the Computer Sciences. Front Psychol, 13;10:1740. doi:10.3389/fpsyg.2019.01740. :
Ito, T. A., & McPherson, E. (2018). Factors influencing high school students’ interest in pSTEM. Frontiers in Psychology, 9, 1535. https://doi.org/10.3389/fpsyg.2018.01535.:
Kolmos, A., Mejlgaard, N., Haase, S., & Holgaard, J. E. (2013). Motivational factors, gender and engineering education. European Journal of Engineering Education, 38(3), 340-358.:
Jansen, M., Scherer, R., & Schroeders, U. (2015). Students’ self-concept and self-efficacy in the sciences: Differential relations to antecedents and educational outcomes. Contemporary Educational Psychology, 41, 13–24. https://doi.org/10.1016/j.cedpsych.2014.11.002:
Lent, R. W., Brown, S. D., &. Hackett G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. J. Vocat. Behav., 45 (1) (1994), pp. 79-122, 10.1006/jvbe.1027:
Lent, R. W., & Brown, S.D. (2006). On conceptualizing and assessing social cognitive constructs in career research: A measurement guide. Journal of Career Assessment, pp. 12–35.:
Lewis, K. L., Stout, J. G., Finkelstein, N. D., Pollock, S. J., Miyake, A., Cohen, G. L., & Ito, T. A. (2017). Fitting in to Move Forward: Belonging, Gender, and Persistence in the Physical Sciences, Technology, Engineering, and Mathematics (pSTEM). Psychology of Women Quarterly, 41(4), 420–436. https://doi.org/10.1177/0361684317720186:
Liben, L. S., & Coyle, E. F. (2014). Chapter three - Developmental Interventions to Address the STEM Gender Gap: Exploring Intended and Unintended Consequences. In L. S. Liben & R. S. Bigler (Eds.), Advances in Child Development and Behaviour, Vol. 47, pp. 77–115. JAI. https://doi.org/10.1016/bs.acdb.2014.06.001:
Lin, B., Ghaddar, B., & Hurst, A. (2021). Text mining undergraduate engineering programs’ applications: the role of gender, nationality, and socio-economic status. arXiv:2107.14034v3 [cs.CY] 21.:
Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A.N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. J Exp Child Psychol. 160:92-106. doi: 10.1016/j.jecp.2017.03.013.:
Master, A, Meltzoff, A.N., & Cheryan, S. (2021). Gender stereotypes about interests start early and cause gender disparities in computer science and engineering. Proc Natl Acad Sci U S A. 30;118(48): e2100030118. doi: 10.1073/pnas.2100030118. PMID: 34810255; PMCID: PMC8640926.:
Matthiasdottir, A., & Palsdottir, J. (2016). Where are the girls in STEM? Presented at the 6th STS Italia Conference | Sociotechnical Environments, Trento, Italy.:
Matthiasdottir, A, (2018). Gender differences in engineering students’ choice of studies. Proceedings of the 14th International CDIO Conference, Kanazawa Institute of Technology, Kanazawa, Japan.:
Matthiasdottir, A., & Audunsson, H. (2022). Gender differences in attitudes towards engineering studies and in graduates. Proceedings of the 18th International CDIO Conference, Reykjavik University, Iceland, June 13-15.:
Marx, D. M., Ko, S. J., & Friedman, R. A. (2009). The “Obama Effect”: How a salient role model reduces race-based performance differences. Journal of Experimental Social Psychology, 45(4), 953–956. https://doi.org/10.1016/j.jesp.2009.03.012:
Marx, D. M., & Roman, J. S. (2002). Female role models: Protecting women’s math test performance. Personality and Social Psychology Bulletin, 28(9), 1183–1193. https://doi.org/10.1177/01461672022812004:
McIntyre, R. B., Paulson, R. M., & Lord, C. G. (2003). Alleviating women’s mathematics stereotype threat through salience of group achievements. Journal of Experimental Social Psychology, 39(1), 83–90. https://doi.org/10.1016/S0022-1031(02)00513-9.:
Powell, A., Dainty, A., & Bagilhole, B. (2012). Gender stereotypes among women engineering and technology students in the UK: lessons from career choice narratives. European Journal of Engineering Education, 37(6), 541-556. https://doi.org/10.1080/03043797.2012.724052:
UNESCO (2018). Telling SAGA: Improving Measurement and Policies for Gender Equality in Science, Technology and Innovation. UNESCO STEM and Gender Advancement (SAGA) project. UNESCO: Paris, https://unesdoc.unesco.org/ark:/48223/pf0000266102:
Raabe, I. J., Boda, Z., & Stadtfeld, C. (2019). The Social Pipeline: How Friend Influence and Peer Exposure Widen the STEM Gender Gap. Sociology of Education, 92(2), 105–123. https://doi.org/10.1177/0038040718824095:
Rattan, A., Savani, K., Chugh, D., & Dweck, C. S. (2015). Leveraging mindsets to promote academic achievement: policy recommendations. Perspectives on Psychological Science, Vol, 10(6), 721–726.:
Redmond, P., & McGuinness, S. (2017). The gender wage gap in Europe: Job preferences, gender convergence and distributional effects. Oxford Bulletin of Economics and Statistics, 81 (3) (2019), pp. 564-587:
Robnett, R. D., & Leaper, C. (2013). Friendship groups, personal motivation, and gender in relation to high school students’ STEM career interest. Journal of Research on Adolescence, 23, 652–664. doi:10.1111/jora.12013:
Shin, J.E.L., Levy, S.R. & London, B. (2016). Effects of role model exposure on STEM and non-STEM student engagement. Journal of Applied Social Psychology, 46 pp. 410-427:
Singh, R., Fouad, N. A., Fitzpatrick, M. E., Liu J. P., Cappaert, K. J., & Figuereido C. (2013) Stemming the tide: Predicting women engineers’ intentions to leave. Journal of Vocational Behaviour 83(3): 281–294. doi:10.1016/j.jvb.2013.05.007:
Stinebrickner, T.R., & Stinebrickner, R. (2011). Math or science? Using longitudinal expectations data to examine the process of choosing a college major National Bureau of Economic Research, Cambridge, Massachusetts, NBER Working Paper 16869:
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. https://doi.org/10.1016/j.compedu.2013.07.032:
Van den Hurk, A., Meelissen, M., & van Langen, A. (2019) Interventions in education to prevent STEM pipeline leakage. International Journal of Science Education, 41:2, 150-164, DOI: 10.1080/09500693.2018.1540897:
Van Veelen, R., Derks, B., & Endedijk, M. D. (2019). Double trouble: How being outnumbered and negatively stereotyped threatens career outcomes of women in STEM. Frontiers in psychology, 10, 150. https://doi.org/10.3389/fpsyg.2019.00150:
Van Tuijl, C., & van der Molen, J. H. W. (2016). Study choice and career development in STEM fields: an overview and integration of the research. International Journal of Technology and Design Education, 26(2), 159–183.:
World Economic Forum (2021). These are the degrees that will earn you the most money when you graduate - and the ones that won’t. https://www.weforum.org/agenda/2021/10/stem-degrees-most-valuable/:
YouScience report (2022). Post Graduation readiness Report. https://www.youscience.com/ post-graduation-readiness-report/:
YouScience report (2022). Career Insights: Women, STEM, and the Talent Shortage, report. https://www.youscience.com/career-insights-women-stem-and-the-talent-shortage-report/:
Zviel-Girshin, R., Luria, A., & Shaham, C. (2020). Robotics as a Tool to Enhance Technological Thinking in Early Childhood. J Sci Educ Technol 29, 294–302. https://doi.org/10.1007/s10956-020-09815-x:
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