Influence of expectancies of success on the choice of vocational education or scientific-technological baccalaureate
DOI:
https://doi.org/10.5944/educxx1.36811Keywords:
expectancies of success, vocational education, baccalaureate, science, technologyAbstract
The number of students pursuing scientific-technological careers is declining, with significant gender differences. Similarly, at the end of the compulsory stage, an increasing number of students continue their studies in Vocational education rather than the Baccalaureate. The reasons for this trend are not clearly known, but it seems that students' expectancies and the influence of their teachers and parents may play a role. Thus, this study examines the impact of students' expectancies of success in science and technology, as well as their perceptions of their parents and teachers' expectancies of success, on their choice of study type (Vocational education or baccalaureate) and branch (scientific-technological or not). A convenience sample of 276 students was surveyed using a valid and reliable instrument in a quantitative, explanatory design. The findings show that students and their parents' expectancies of success have a strong influence on the choice of baccalaureate studies in boys, but not in girls. In addition, the choice of scientific-technological studies is influenced by their expectancies of success and those of their parents in boys, and by their expectancies of success and those of their teachers in girls. These findings emphasize the importance of the construct of expectancies of success in the formation of scientific vocations and the academic orientation. For this reason, to increase scientific-technical vocations, it is necessary to implement methodologies and strategies that improve students' expectancies of success in science and technology, as well as the expectancies that their parents and teachers place on them.
Downloads
References
Aschbacher, P. R., Ing, M., & Tsai, S. M. (2014). Is science me? Exploring middle school students’ STEM career aspirations. Journal of Science Education and Technology, 23(6), 735–743. https://doi.org/10.1007/s10956-014-9504-x
Aschbacher, P. R., Li, E., & Roth, E. J. (2010). Is science me? High school students’ identities, participation and aspirations in science, engineering, and medicine. Journal of Research in Science Teaching, 47(5), 564–582. https://doi.org/10.1002/tea.20353
Ato, M., López, J. J., & Benavente, A. (2013). A classification system for research designs in psychology. Anales de Psicología, 29(3), 1038–1059. https://doi.org/10.6018/analesps.29.3.178511
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (2001). Self-efficacy beliefs as shapers of children’ s aspirations and career. Child Development, 72(1), 187–206.
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014
Bøe, M. V. (2012). Science choices in Norwegian upper secondary school: what matters? Science Education, 96(1), 1–20. https://doi.org/10.1002/sce.20461
Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education. Routledge.
Eccles, J. S., & Wigfield, A. (1995). In the mind of the actor: the structure of adolescents’ achievement task values and expectancy-related beliefs. Personality and Social Psychology Bulletin, 21(3), 215–225. https://doi.org/10.1177/0146167295213003
Eccles, J. S., & Wigfield, A. (2020). From expectancy-value theory to situated expectancy-value theory: a developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology, 61(Mayo), 101859. https://doi.org/10.1016/j.cedpsych.2020.101859
Ferrando, P. J., Lorenzo-Seva, U., Hernández-Dorado, A., & Muñiz, J. (2022). Decálogo para el análisis factorial de los ítems de un test. Psicothema, 34(1), 7–17. https://doi.org/10.7334/psicothema2021.456
Grañeras-Pastrana, M., Moreno-Sánchez, M. E., & Isidoro-Calle, N. (2022). Radiografía de la brecha de género en la formación STEAM. Un estudio en detalle de la trayectoria educativa de niñas y mujeres en España. Ministerio de educación y formación profesional. https://bit.ly/402ThJ7
Guo, J., Marsh, H. W., Parker, P. D., Morin, A. J. S., & Yeung, A. S. (2015). Expectancy-value, gender and socioeconomic background as predictors of achievement and aspiration: a multi-cohort study. Learning and Individual Differences, 37, 161–168. https://doi.org/10.1016/j.lindif.2015.01.008
Guo, J., Parker, P. D., Marsh, H. W., & Morin, A. J. S. (2015). Achievement, motivation, and educational choices: a longitudinal study of expectancy and value using a multiplicative perspective. Developmental Psychology, 51(8), 1–14. https://doi.org/10.1037/a0039440
Knapp, H. (2018). Intermediate statistics using SPSS. Sage Publications, Inc.
Lloret-Segura, S., Ferreres-Traves, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151–1169. https://doi.org/10.6018/analesps.30.3.199361
Maltese, A. V., & Tai, R. H. (2011). Pipeline persistence: examining the association of educational experiences with earned degrees in STEM among U.S. students. Science Education, 95(5), 877–907. https://doi.org/10.1002/sce.20441
Martínez-Vicente, M., Suárez Riveiro, J. M., & Valiente Barroso, C. (2023). Perfil estratégico-motivacional y rendimiento académico en alumnado de educación primaria. Educación XX1, 26(1), 141-163. https://doi.org/10.5944/educxx1.31852
Merino Pareja, R., Martínez García, J. S., & Valls, O. (2020). Efectos secundarios y motivaciones de las personas jóvenes para escoger Formación Profesional. Papers: Revista de Sociología, 105(2), 259-277. https://doi.org/10.5565/rev/papers.2776
Ministerio de Universidades. (2022). Datos y cifras del Sistema Universitario Español 2021-22. https://bit.ly/46Upftv
Muñoz-Domínguez, A. I., Toma, R. B., Hernández, C. M., Bermejo, N., & Gómez, P. J. S. (2022). Identidad rural e identidad científica. Una intervención educativa en la España vaciada. Enseñanza de las Ciencias, 40(3), 125-145. https://doi.org/10.5565/rev/ensciencias.5693
Phan, H. P. (2014). Expectancy-value and cognitive process outcomes in mathematics learning: a structural equation analysis. Higher Education Research and Development, 33(2), 325–340. https://doi.org/10.1080/07294360.2013.832161
Potvin, P., & Hasni, A. (2014). Interest, motivation and attitude towards science and technology at K-12 levels: a systematic review of 12 years of educational research. Studies in Science Education, 50, 85–129. https://doi.org/10.1080/03057267.2014.881626
Ra, S., Shrestha, U., Khatiwada, S., Yoon, S. W., & Kwon, K. (2019). The rise of technology and impact on skills. International Journal of Training Research, 17(sup1), 26-40. https://doi.org/10.1080/14480220.2019.1629727
Sánchez-Martín, M., Corral-Robles, S., Llamas-Bastida, M. C., & González-Gijón, G. (2023). Determinantes académicos y motivacionales en función del género del alumnado de Formación Profesional . Revista de Educación, 399, 11–37. https://doi.org/10.4438/1988-592X-RE-2023-399-560
Santana Vega, L. E., Feliciano García, L. A., & Medina Sánchez, P. C. (2019). Proyecto de vida y toma de decisiones del alumnado de Formación Profesional. Revista Complutense de Educación, 30(2), 423-440. http://dx.doi.org/10.5209/RCED.57589
Thomas, J. A., & Strunk, K. K. (2017). Expectancy-value and children’s science achievement: parents matter. Journal of Research in Science Teaching, 54(6), 693–712. https://doi.org/10.1002/tea.21382
Toma, R. B. (2021). Evidencias de validez de una medida de la motivación por las ciencias de la naturaleza. Educación XX1, 24(2), 351-374. https://doi.org/10.5944/educXX1.28244
Toma, R. B., & Lederman, N. G. (2022). A comprehensive review of instruments measuring attitudes toward science. Research in Science Education, 52, 567-582. https://doi.org/10.1007/s11165-020-09967-1
Tytler, R. (2014). Attitudes, identity, and aspirations toward science. En N. G. Lederman & S. K. Abell (Eds.), Handbook of research on science education (pp. 82–103). Routledge.
Zhang, X., Noor, R., & Savalei, V. (2016). Examining the effect of reverse worded items on the factor structure of the need for cognition scale. Plos One, 11(6), 1–15. https://doi.org/10.1371/journal.pone.0157795
Wigfield, A., & Eccles, J. S. (2020). 35 years of research on students’ subjective task values and motivation: a look back and a look forward. Advances in Motivation Science, 7, 161-198. https://doi.org/10.1016/bs.adms.2019.05.002

Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.