GENDER BIAS IN CHOOSING STEM STUDIES
Received: 26th August 2021; Revised: 09th December 2021, 09th March 2022; Accepted: 10th March 2022
DOI:
https://doi.org/10.20319/pijtel.2022.61.113126Keywords:
Gender Bias, STEM, Generational Change, Education, VocationAbstract
The gender bias in STEM exists, and this work intends to make this reality visible. The principal objectives of the study are to reduce the gender gap in STEM studies and learn about experiences lived around the STEM field reported by women. For this, a qualitative research method has been created in the form of an interview, which helps us answer the questions raised from the life stories told by the fourteen girls and women interviewed, all of them belonging to different age ranges, to be able to observe and analyze gender bias when choosing STEM studies. The data resulting from the research are the least bleak in the framework of the development of gender equality. A minimum change could be expected. However, the changes we observe are specific. We must remember that most of the participants have alluded to society and culture to explain the bias. The generational shift that is observed through the interviews is minimal. Although the educational administrations seek absolute equality and promotion of research and development of ICT among girls and adolescents, we must make visible that these actions need a more significant effort to be part of the educational community.
References
Beasley M. A., & Fischer M. J. (2012). Why they leave: the impact of stereotype threat on the attrition of women and minorities from science, math, and engineering majors. Soc. Psychol. Educ. 15 427–448. https://doi.org/10.1007/s11218-012-9185-3
Girls4STEM. (2021). https://girls4stem.uv.es/#/principal
Gil, J.A. (2011). Techniques in instruments for the collection of information. Madrid. UNED
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. https://doi.org/10.3389/fpsyg.2020.02204
Gonzalez, A. M., Odic, D., Schmader, T., Block, K., & Baron, A. S. (2021). The effect of gender stereotypes on young girls' intuitive number sense. PloS one, 16(10). https://doi.org/10.1371/journal.pone.0258886
Kvale, S. (2008). Doing Interviews. SAGE Publications Ltd., Thousand Oaks. https://doi.org/10.4135/9781849208963
López, V., Couso, D., & Simarro, C. (2020). STEM education in and for a digital world: The role of digital tools in the performance of scientific, engineering and mathematical practices. Revista de Educación a Distancia, 62 (20). http://dx.doi.org/10.6018/red.410011
Martínez, A., Zurita, F., Castro, M., Chacón, M., Hinojo, M.A., & Espejo, T. (2016). The choice of university studies for students in the last year of high school and training cycles. Educare electronic magazine, 20 (1), 1- 18.
Mateos, S., & Gómez, C. (2019). White paper on women in technology. Ministry of Education and Vocational Training. (2021). Main novelties of the LOMLOE. Educaciónyfp.gob.es.
https://www.mineco.gob.es/stfls/mineco/ministerio/ficheros/libreria/LibroBlancoFINAL.pdf
Reinking, A., & Martin, B. (2018). The Gender Gap in STEM Fields: Theories, Movements, and Ideas to Engage Girls in STEM. Journal of New Approaches in Educational Research, 7(2), 148-153. http://dx.doi.org/10.7821/naer.2018.7.271
Sáinz, M. (2017). Why aren't there more STEM women? Engineers, physicists, and technologists are wanted. Madrid. Telefónica Foundation. STEM for Her. https://www.stemforher.org/
UNESCO. (2019). The education of girls and women in science, technology, engineering and mathematics (STEM). https://unesdoc.unesco.org/ark:/48223/pf0000366649
Vinni-Laakso, J., Guo, J., Juuti, K., Loukomies, A., Lavonen, J., & Salmela-Aro, K. (2019). The Relations of Science Task Values, Self-Concept of Ability, and STEM Aspirations Among Finnish Students from First to Second Grade. Frontiers in psychology, 10, 1449. https://doi.org/10.3389/fpsyg.2019.01449
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., Ye, F., & Degol, J. L. (2017). Who Chooses STEM Careers? Using A Relative Cognitive Strength and Interest Model to Predict Careers in Science, Technology, Engineering, and Mathematics. Journal of youth and adolescence, 46(8), 1805–1820. https://doi.org/10.1007/s10964-016-0618-8
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