STEM degree trajectories among students in Catalonia: initial performance, gender and social origin

Authors

DOI:

https://doi.org/10.5944/educxx1.42268

Keywords:

educational equity, higher education, women's education, first generation college students, STEM education, students' trajectories, student sociology

Abstract

This article explores the trajectories of STEM (Science, Technology, Engineering and Mathematics) degree students in Catalonia (Spain), focusing on the influence of initial academic performance in interaction with the sociodemographic factors of gender and parental educational level (PEL). By analysing a longitudinal database of 7 academic years (2012-2019) on newly enrolled STEM students in the Catalan face-to-face higher education system (11 universities; n= 10,274), we examine how these factors influence the ability of students to persist and succeed in this academically difficult environment. A Group-Based Trajectory Model (GBTM) is used to rank student trajectories based on their annual rate of achievement. The predicted probability of belonging to each group is then calculated from several binary logistic regression models that introduce interactions between the various factors and, finally, first and second differences are calculated to estimate the influence of these factors on group membership. The results indicate that first-year performance is a strong predictor of trajectory, with PEL and gender acting as moderators. Specifically, students from families with a university education and women tend to have better trajectories and greater persistence, even when they face initial academic difficulties. The research contributes to understanding the factors that affect persistence and dropout in STEM degrees, highlighting the importance of considering the trajectory as a whole, and social and gender inequalities.

 

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References

Agència per a la Qualitat del Sistema Universitari de Catalunya. (2021). La inserció laboral de les dones vint anys després de finalitzar els estudis universitaris. 2021. AQUCatalunya. https://www.aqu.cat/ca/doc/Estudis/il-titulats/Genere/La-inserciolaboral-de-les-dones-vint-anys-despres-de-finalitzar-els-estudis-universitaris

Ariño, A., Llopis, R., Martínez, M., Pons, E., & Prades, A. (2022). Via Universitària: Accés, condicions d’aprenentatge, expectatives i retorns dels estudis universitaris (2020-2022). Xarxa Vives d’Universitats. https://www.vives.org/book/viauniversitaria-acces-condicions-aprenentatge-expectatives-i-retorns-delsestudis-universitaris-2020-2022/

Ariño Villarroya, A. (2014). La dimensión social en la educación superior. RASE: Revista de la Asociación de Sociología de la Educación, 7(1), 17-41. https://doi.org/10.7203/RASE.7.1.10187

Barañano Cid, M., & Finkel Morgenstern, L. (2014). Transmisión intergeneracional y composición social de la población estudiantil universitaria española: cambios y continuidades. Revista de la Asociación de Sociología de la Educación (RASE), 7(1), 42-60. https://doi.org/10.7203/RASE.7.1.10188

Bernardi, F., & Cebolla, H. (2014). Previous school results and social background: Compensation and imperfect information in educational transitions. European Sociological Review, 30(2), 207-217. https://doi.org/10.1093/esr/jct029

Bernardi, F., & Triventi, M. (2020). Compensatory advantage in educational transitions: Trivial or Substantial? A simulated scenario analysis. Acta Sociologica, 63(1), 40-62. https://doi.org/10.1177/0001699318780950

Breen, R., Karlson, K. B., & Holm, A. (2013). Total, Direct, and Indirect Effects in Logit and Probit Models. Sociological Methods and Research, 42(2), 164-191. https://doi.org/10.1177/0049124113494572

Canning, E. A., LaCosse, J., Kroeper, K. M., & Murphy, M. C. (2020). Feeling like an imposter: The effect of perceived classroom competition on the daily psychological experiences of first-generation college students. Social Psychological and Personality Science, 11(5), 647-657. https://doi.org/10.1177/1948550619882032

Casanova, J. R., Castro-López, A., Bernardo, A. B., & Almeida, L. S. (2023). The Dropout of First-Year STEM Students: Is It Worth Looking beyond Academic Achievement? Sustainability (Switzerland), 15(2), 1253. https://doi.org/10.3390/su15021253

de la Cruz-Campos, J.-C., Victoria-Maldonado, J.-J., Martínez-Domingo, J.-A., & Campos-Soto, M.-N. (2023). Causes of academic dropout in higher education in Andalusia and proposals for its prevention at university: A systematic review. Frontiers in Education, 8, 1130952. https://doi.org/10.3389/feduc.2023.1130952

Dika, S. L., & D’Amico, M. M. (2016). Early experiences and integration in the persistence of first‐generation college students in STEM and non‐STEM majors. Journal of Research in Science Teaching, 53(3), 368-383. https://doi.org/10.1002/tea.21301

Erdmann, M., Schneider, J., Pietrzyk, I., Jacob, M., & Helbig, M. (2023). The impact of guidance counselling on gender segregation: Major choice and persistence in higher education. An experimental study. Frontiers in Sociology, 8, 1154138. https://doi.org/10.3389/fsoc.2023.1154138

Fietta, V., Navarin, N., Monaro, M., & Gaggi, O. (2023). Women and Gender Disparities in Computer Science: A Case Study at the University of Padua. ACM International Conference Proceeding Series, 82-91. https://doi.org/10.1145/3582515.3609521

Fisher, C. R., Brookes, R. H., & Thompson, C. D. (2022). ‘I don’t Study Physics Anymore’: a Cross-Institutional Australian Study on Factors Impacting the Persistence of Undergraduate Science Students. Research in Science Education, 52(5), 1565-1581. https://doi.org/10.1007/s11165-021-09995-5

Gil-Hernández, C. J. (2019). Do Well-off Families Compensate for Low Cognitive Ability? Evidence on Social Inequality in Early Schooling from a Twin Study. Sociology of Education, 92(2), 150-175. https://doi.org/10.1177/0038040719830698

González-Pérez, S., Martínez-Martínez, M., Rey-Paredes, V., & Cifre, E. (2022). I am done with this! Women dropping out of engineering majors. Frontiers in Psychology, 13, 918439. https://doi.org/10.3389/fpsyg.2022.918439

Haas, C., & Hadjar, A. (2019). Students’ trajectories through higher education: a review of quantitative research. Higher Education, 79(6), 1099-1118. https://doi.org/10.1007/s10734-019-00458-5

Hardtke, M., Khanjaninejad, L., Lang, C., & Nasiri, N. (2023). Gender Complexity and Experience of Women Undergraduate Students within the Engineering Domain. Sustainability (Switzerland), 15(1), 467. https://doi.org/10.3390/su15010467

Herbaut, E. (2020). Overcoming failure in higher education: Social inequalities and compensatory advantage in dropout patterns. Acta Sociologica, 64(4), 383-402. https://doi.org/10.1177/0001699320920916

Ives, J., & Castillo-Montoya, M. (2020). First-generation college students as academic learners: A systematic review. Review of Educational Research, 90(2), 139-178. https://doi.org/10.3102/0034654319899707

Jones, B. L., & Nagin, D. S. (2013). A note on a Stata plugin for estimating groupbased trajectory models. Sociological Methods & Research, 42(4), 608-613. https://doi.org/10.1177/0049124113503141

Kaganovich, M., Taylor, M., & Xiao, R. (2023). Gender Differences in Persistence in a Field of Study: This Isn’t All about Grades. Journal of Human Capital, 17(4), 503-556. https://doi.org/10.1086/726629

Kahn, S., & Ginther, D. (2017). Women and STEM. https://genderedinnovations.stanford.edu/what-is-gendered-Lorenzo-Quiles, O., Galdón-López, S., & Lendínez-Turón, A. (2023). Factors contributing to university dropout: a review. Frontiers in Education, 8, 1159864.

https://doi.org/10.3389/feduc.2023.1159864

Ma, Y., & Xiao, S. (2021). Math and Science Identity Change and Paths into and out of STEM: Gender and Racial Disparities. Socius, 7(1), 1-16. https://doi.org/10.1177/23780231211001978

Malespina, A., Schunn, C. D., & Singh, C. (2023). Bioscience students’ internalized mindsets predict grades and reveal gender inequities in physics courses. Physical Review Physics Education Research, 19(2), 020135. https://doi.org/10.1103/PhysRevPhysEducRes.19.020135

Mateos Sillero, S., & Gómez Hernández, C. (2019). Libro Blanco de las mujeres en el ámbito tecnológico. Ministerio de Economía y Empresa. Gobierno de España. https://spainaudiovisualhub.mineco.gob.es/content/dam/seteleco-hubaudiovisual/resources/pdf/LibroBlancoFINAL.pdf

Mize, T. D. (2019). Best practices for estimating, interpreting, and presenting nonlinear interaction effects. Sociological Science, 6, 81-117. https://doi.org/10.15195/V6.A4

Nagin, D. S. (2005). Group-based modeling of development. Harvard University Press. OCDE (2020). Education at a Glance 2020: OECD Indicators. OECD Publishing. https://doi.org/10.1787/69096873-en

Ong, M., Smith, J. M., & Ko, L. T. (2018). Counterspaces for women of color in STEM higher education: Marginal and central spaces for persistence and success. Journal of Research in Science Teaching, 55(2), 206-245. https://doi.org/10.1002/tea.21417

Pennington, C. R., Heim, D., Levy, A. R., & Larkin, D. T. (2016). Twenty years of stereotype threat research: A review of psychological mediators. PLoS ONE, 11(1), e0146487. https://doi.org/10.1371/journal.pone.0146487

Petroff, A., Sáinz, M., & Arroyo, L. (2022). A Multilevel Qualitative Perspective to Gendered Life Course, Socialization, and STEM Trajectories Among Emerging Adults in Spain. Emerging Adulthood, 10(5), 1256-1268. https://doi.org/10.1177/21676968211021678

Pfeffer, F. T., & Goldrick-Rab, S. (2011). Unequal Pathways through American Universities. Harvard Education Press. http://www.irp.wisc.edu

Rodriguez, S. L., & Lehman, K. (2017). Developing the next generation of diverse computer scientists: the need for enhanced, intersectional computing identity theory. Computer Science Education, 27(3-4), 229-247. https://doi.org/10.1080/08993408.2018.1457899

Rome Ministerial Communiqué. (2020). Rome Ministerial Communiqué 2020: Communiqué of the meeting of Ministers of Higher Education of the European Higher Education Area. https://ehea2020rome.it/storage/uploads/5d29d1cd-4616-4dfe-a2af-29140a02ec09/BFUG_Final_Draft_Rome_Communique-link.pdf

Sáinz, M. (Coord.). (2017). Se buscan ingenieras, físicas y tecnólogas ¿Por qué no hay más mujeres STEM? Ariel.

Sánchez-Gelabert, A. (2022). Group Based Trajectory Modelling: Methodological Guide GBTM. https://fe.up.pt/complext/images/demo/Unit%204%202%20-%20GBTM%20Guide.pdf

Sánchez-Gelabert, A., Elias Andreu, M., & Bouvier, N. (2024). Transition to postcompulsory education according to migrant background and gender in Catalonia: Exploring the effect of non-native student concentration. International Journal of Educational Research, 124, 102321. https://doi.org/10.1016/j.ijer.2024.102321

Sánchez-Gelabert, A., & Troiano, H. (2023). Compensatory advantage after the first year at university in the Catalan system: between continuing, transferring and dropping out. Studies in Higher Education, 1-17. https://doi.org/10.1080/03075079.2023.2281539

Sax, L. J., Blaney, J. M., Lehman, K. J., Rodriguez, S. L., George, K. L., & Zavala, C. (2018). Sense of belonging in computing: The role of introductory courses for women and underrepresented minority students. Social Sciences, 7(8), 122. https://doi.org/10.3390/socsci7080122

Sebastián-Tirado, A., Félix-Esbrí, S., Forn, C., & Sanchis-Segura, C. (2023). Are gender-science stereotypes barriers for women in science, technology, engineering, and mathematics? Exploring when, how, and to whom in an experimentally-controlled setting. Frontiers in Psychology, 14, 1219012. https://doi.org/10.3389/fpsyg.2023.1219012

Secretaría General de Universidades, SG. OSGEU. (2019). Datos y cifras del sistema universitario español: Publicación 2018-2019. Secretaría General de Universidades. https://www.ciencia.gob.es/stfls/MICINN/Universidades/Ficheros/Estadisticas/datos-y-cifras-SUE-2018-19.pdf

Tieben, N. (2020). Non-completion, Transfer, and Dropout of Traditional and Nontraditional Students in Germany. Research in Higher Education, 61(1), 117-141. https://doi.org/10.1007/s11162-019-09553-z

Tinto, V. (2017). Through the Eyes of Students. Journal of College Student Retention: Research, Theory and Practice, 19(3), 254-269. https://doi.org/10.1177/1521025115621917

Triventi, M. (2013). Stratification in higher education and its relationship with social inequality: A comparative study of 11 European countries. European Sociological Review, 29(3), 489-502. https://doi.org/10.1093/esr/jcr092

Troiano, H., Brennan, J., & Giret, J.-F. (2024). From the main track to the winding path: considering the diversity of trajectories at university. International Journal of Educational Technology in Higher Education, 21(1), 7. https://doi.org/10.1186/s41239-024-00441-w

Troiano, H., Torrents, D., Sánchez-Gelabert, A., & Daza, L. (2017). Evolución del acceso a la universidad y de la elección de titulación universitaria entre la población joven en Catalunya. Cuadernos de Relaciones Laborales, 35(2), 281-303. https://doi.org/10.5209/CRLA.56775

UNESCO. (2019). Descifrar el código la educación de las niñas y las mujeres en ciencias, tecnología, ingeniería y matemáticas (STEM). Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. https://unesdoc.unesco.org/ark:/48223/pf0000366649

UNESCO. (2021). Women in higher education: has the female advantage put an end to gender inequalities? Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. http://www.unesco.org/open-access/terms-use-ccbysa-en

Usart, M., Sánchez-Canut, S., & Lores, B. (2022). The STEM field is failing to attract female talent. Fundació La Caixa. https://elobservatoriosocial.fundacionlacaixa.org/en/-/the-stem-field-is-failing-to-attract-female-talent#

Valdés, M. T. (2020). Primary and secondary effects of social origin in the transition to post-compulsory education in Spain. Revista Española de Investigaciones Sociológicas, 171, 125-144. https://doi.org/10.5477/cis/reis.171.125

Vooren, M., Haelermans, C., Groot, W., & van den Brink, H. M. (2022). Comparing success of female students to their male counterparts in the STEM fields: an empirical analysis from enrollment until graduation using longitudinal register data. International Journal of STEM Education, 9(1), 1-17. https://doi.org/10.1186/s40594-021-00318-8

Published

2025-06-20 — Updated on 2025-06-23

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How to Cite

Troiano, H. (2025). STEM degree trajectories among students in Catalonia: initial performance, gender and social origin. Educación XX1, 28(2), 329–353. https://doi.org/10.5944/educxx1.42268 (Original work published June 20, 2025)

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