Barriers and challenges perceived by women in their pathway through science, technology, engineering and mathematics (STEM) careers
PDF (Spanish)

Keywords

STEM career choice
Perceived gender barriers
Previous educational experiences
Inclusive educational policies
Women's participation in STEM
Gender equity in engineering

How to Cite

Trejo Magaña, G. Y., García de Álvarez, C. Y., Lara Solano, N. E., & Hernández, N. E. (2024). Barriers and challenges perceived by women in their pathway through science, technology, engineering and mathematics (STEM) careers. INTEGRATION Journal, 12, 57-69. https://doi.org/10.66092/nzz45r43

Abstract

Texto Limpio (Fidelidad Total al Original)

This study explored women's perceptions regarding the challenges they face in STEM careers in the western region of El Salvador. The objective was to identify the factors that influence women's choice of STEM fields and to understand the barriers they encounter. A descriptive quantitative methodology was used, collecting data from 220 female university students through questionnaires. The results revealed that although women's participation in higher education has increased, this has not translated into proportional representation in engineering programs. Most participants reported not having had role models who significantly influenced their career choices. Additionally, a considerable percentage perceived the existence of negative gender stereotypes in their fields of study, although with varying distribution. In conclusion, the need to implement inclusive educational policies and practices that promote gender equity in access to and advancement within STEM careers is emphasized. It is recommended to enhance the visibility of female role models in STEM, increase access to STEM-related experiences before higher education, and actively address gender stereotypes within the academic environment. These measures could contribute to more equitable participation of women in scientific and technological disciplines, which is vital for the economic and social development of the region.

PDF (Spanish)

References

Alarcón Montiel, E. (2019). Elección de carrera: motivos, procesos e influencias y sus efectos en la experiencia estudiantil de jóvenes universitarios de alto rendimiento académico. REencuentro. Análisis de Problemas Universitarios, 30(77), 53-74. https://www.redalyc.org/journal/340/34065218004/html/

Alas, A. (2023). Incrementa la matrícula de mujeres en carreras técnicas y científicas en El Salvador. Diario El Salvador. https://diarioelsalvador.com/incrementa-la-matricula-de-mujeres-en-carreras-tecnicas-y-cientificas-en-el-salvador/325609/

Álvarez-Aguilar, N. T., González-Duéñez, V. P., & Castillo-Elizondo, J. A. (2019). Mujeres y carreras de ingeniería en la Universidad Autónoma de Nuevo León, en México: Una mirada desde las vivencias de las estudiantes. Formación Universitaria, 12(4), 85-94.

Bello, A. (2020). Las mujeres en ciencias, tecnología, ingeniería y matemáticas en América Latina y el Caribe. ONU Mujeres.

Bordalo, P., Coffman, K., Gennaioli, N., & Shleifer, A. (2015). Stereotypes. Harvard University. https://scholar.harvard.edu/files/shleifer/files/stereotypes_june_6.pdf

Bourdieu, P., & Passeron, J. C. (2004). La reproducción: Elementos para una teoría del sistema de enseñanza. Laertes.

Centro de Investigación de la Mujer en la Alta Dirección (CIMAD). (2020). Reporte de investigación: Mujeres eligiendo carreras STEM. https://www.ipade.mx/2020/10/27/estudio-de-impacto-mujeres-eligiendo-carreras-stem/

Comisión Económica para América Latina y el Caribe (CEPAL). (2022). Panorama social de América Latina y el Caribe: La transformación de la educación como base para el desarrollo sostenible. https://repositorio.cepal.org/server/api/core/bitstreams/3ca376cf-edd4-4815-b392-b2a1f80ae05a/content

Garza, G. G. (2022). Estereotipos y elementos que intervienen en la perspectiva de género desde la perspectiva del alumnado. IE Revista de Investigación Educativa de la REDIECH, 13. https://doi.org/10.33010/ie_rie_rediech.v13i0.1574

Gladstone, J., & Cimpian, A. (2021). Which role models are effective for which students? A systematic review and four recommendations for maximizing the effectiveness of role models in STEM. International Journal of STEM Education. https://doi.org/10.1186/s40594-021-00315-x

Goldthorpe, J. H. (2010). Class analysis and the reorientation of class theory: the case of persisting differentials in educational attainment. The British Journal of Sociology, 61, 311-335. https://doi.org/10.1111/j.1468-4446.2009.01248.x

Lubienski, S. T., Robinson, J. P., Crane, C. C., & Ganley, C. M. (2013). Girls’ and boys’ mathematics achievement, affect, and experiences: Findings from ECLS-K. Journal for Research in Mathematics Education, 44(4), 634-645. https://doi.org/10.5951/jresematheduc.44.4.0634

Macías-González, G. G., Caldera-Montes, J. F., & Salán-Ballesteros, M. N. (2019). Orientación vocacional en la infancia y aspiraciones de carrera por género. Convergencia, 26(80). https://doi.org/10.29101/crcs.v26i80.10516

Rodríguez, K. C., & Magaña, E. (2018). Elección de carreras universitarias en áreas de ciencia, tecnología, ingeniería y matemáticas (STEM): revisión de la literatura. Revista Interamericana de Educación de Adultos, 40(1). https://www.redalyc.org/articulo.oa?id=457556293008

UNESCO. (2019). Descifrar el código: La educación de las niñas y las mujeres en ciencias, tecnología, ingeniería y matemáticas (STEM). https://unesdoc.unesco.org/ark:/48223/pf0000253479

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

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