Students’ self-efficacy in STEM subjects: influence of career guidance support across gender

Authors

DOI:

https://doi.org/10.55056/seq.1004

Keywords:

academic and career support, STEM subjects, self-efficacy, gender

Abstract

Science, Technology, Engineering, and Mathematics (STEM) subjects are recognised as potential areas that prepare students to address the ongoing changes in the world. However, evidence shows that students exhibit low self-efficacy in STEM due to limited human resource training in these subjects. This article examined the impact of career guidance support on students’ self-efficacy in STEM subjects. A multiple linear regression model, supplemented by descriptive statistics, was employed to analyse the collected quantitative data. The study revealed a significant positive influence of career guidance support on both male and female students’ self-efficacy in STEM subjects, with regression coefficients of 0.552 and 0.533, respectively. Male students demonstrated higher self-efficacy in STEM subjects than their female counterparts. The study recommends that the Tanzania Ministry of Education, Science and Technology ensure access to comprehensive career guidance support for both male and female students to foster successful STEM learning.

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References

Akaranga, S.I. and Makau, B.K., 2016. Ethical Considerations and their Applications to Research: a Case of the University of Nairobi. Journal of Educational Policy and Entrepreneurial Research, 3(12), pp.1–9. Available from: https://web.archive.org/web/20220621075522/https://profiles.uonbi.ac.ke/kuria_paul/files/429-825-2-pb.pdf.

Ary, D., Jacobs, L.C., Sorensen, C. and Razavieh, A., 2010. Introduction to Research in Education. 8th ed. Belmont, CA: Wadsworth Cengage Learning. Available from: https://ebookppsunp.wordpress.com/wp-content/uploads/2016/06/donald_ary_lucy_cheser_jacobs_asghar_razavieh_bookfi-org.pdf.

Bandura, A., 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), pp.191–215. Available from: https://doi.org/10.1037/0033-295X.84.2.191. DOI: https://doi.org/10.1037/0033-295X.84.2.191

Bandura, A., 1997. Self-efficacy: The exercise of control. New York, NY: W H Freeman/Times Books/Henry Holt & Co.

Bandura, A., 1999. A social cognitive theory of personality. In: D. Cervone and Y. Shoda, eds. The coherence of personality: Social-cognitive bases of consistency, variability, and organization. 2nd ed. New York: Guilford Publications, pp.185–241.

Bandura, A., Barbaranelli, C., Caprara, G.V. and Pastorelli, C., 2001. Self-Efficacy Beliefs as Shapers of Children’s Aspirations and Career Trajectories. Child Development, 72(1), pp.187–206. Available from: https://www.jstor.org/stable/1132479. DOI: https://doi.org/10.1111/1467-8624.00273

Brown, S.D. and Lent, R.W., eds, 2021. Career Development and Counseling: Putting Theory and Research to Work. 3rd ed. Hoboken, New Jersey: John Wiley & Sons, Ltd. Available from: https://protean.or.id/wp-content/uploads/2025/05/Career-Development-and-Counseling-Putting-Theory-and-Research-to-Work-Steven-D.-Brown-Robert-W.-Lent-Z-Library.pdf. DOI: https://doi.org/10.1002/9781394258994

Chatterjee, D., Jacob, G.A., Varvayanis, S.S., Wefes, I., Chalkley, R., Nogueira, A.T., Fuhrmann, C.N., Varadarajan, J., Hubbard, N.M., Gaines, C.H., Layton, R.L. and Chaudhary, S., 2023. Career self-efficacy disparities in underrepresented biomedical scientist trainees. PLOS ONE, 18(3), 03, p.e0280608. Available from: https://doi.org/10.1371/journal.pone.0280608. DOI: https://doi.org/10.1371/journal.pone.0280608

Coetzee, M., 2022. Career agility for purposive career exploration: Role of adult learners’ career orientations and digital-era world of work awareness. African Journal of Career Development, 4(1), p.a54. Available from: https://doi.org/10.4102/ajcd.v4i1.54. DOI: https://doi.org/10.4102/ajcd.v4i1.54

Deshani, N.A.D.K. and Hirimburegama, K., 2024. Impact of STEM education in overcoming poverty. KDU Journal of Multidisciplinary Studies, 6(2), pp.67–78. Available from: https://doi.org/10.4038/kjms.v6i2.130. DOI: https://doi.org/10.4038/kjms.v6i2.130

Dorfman, B.S. and Fortus, D., 2019. Students’ self-efficacy for science in different school systems. Journal of Research in Science Teaching, 56(8), pp.1037–1059. Available from: https://doi.org/10.1002/tea.21542. DOI: https://doi.org/10.1002/tea.21542

Edmonds, W.A. and Kennedy, T.D., 2017. An Applied Guide to Research Designs: Quantitative, Qualitative, and Mixed Methods. 2nd ed. Thousand Oaks, CA: SAGE Publications. Available from: https://doi.org/10.4135/9781071802779. DOI: https://doi.org/10.4135/9781071802779

Gaylor, L. and Nicol, J.J., 2016. Experiential High School Career Education, Self-Efficacy, and Motivation. Canadian Journal of Education / Revue Canadienne De l’éducation, 39(2), pp.1–24. Available from: https://cje-rce.ca/index.php/cje-rce/article/view/2029.

Hu, X., Jiang, Y. and Bi, H., 2022. Measuring science self-efficacy with a focus on the perceived competence dimension: using mixed methods to develop an instrument and explore changes through cross-sectional and longitudinal analyses in high school. International Journal of STEM Education, 9(1), p.47. Available from: https://doi.org/10.1186/s40594-022-00363-x. DOI: https://doi.org/10.1186/s40594-022-00363-x

Jena, L. and Nayak, U., 2020. Theories of Career Development: An analysis. Indian Journal of Natural Sciences, 10(60), June, pp.23515–23523. Available from: https://www.researchgate.net/publication/344414923.

Kalogiannakis, M. and Papadakis, S., 2019. Pre-service kindergarten teachers’ acceptance of ‘ScratchJr’ as a tool for learning and teaching Computational Thinking and science education. The Journal of Emergent Science, (16), pp.31–34. Available from: https://www.ase.org.uk/system/files/Kalogiannakis%20et%20al_0.pdf.

Kalogiannakis, M. and Papadakis, S., 2020. The Use of Developmentally Mobile Applications for Preparing Pre-Service Teachers to Promote STEM Activities in Preschool Classrooms. In: S. Papadakis and M. Kalogiannakis, eds. Mobile Learning Applications in Early Childhood Education. Hershey, PA: IGI Global Scientific Publishing, pp.82–100. Available from: https://doi.org/10.4018/978-1-7998-1486-3.ch005. DOI: https://doi.org/10.4018/978-1-7998-1486-3.ch005

Kimaro, A.R. and Lawuo, E.A., 2016. The Effects of Gender Stereotyping on Career Choice among Secondary School Students in Tanzania. International Journal of Advanced Engineering, Management and Science, 2(2), 2, pp.39–46. Available from: https://media.neliti.com/media/publications/239377-the-effects-of-gender-stereotyping-on-ca-d460e77a.pdf.

Krome, R.L., 2016. Attracting women to STEM programs: the influence of goal-orientations and the use of gendered wording in recruitment materials. Ph.D. thesis. Kansas State University, Manhattan, KS. Available from: http://hdl.handle.net/2097/32487.

Kwon, H., Vela, K., Williams, A.M. and Barroso, L.R., 2019. Mathematics and Science Self-efficacy and STEM Careers: A Path Analysis. Journal of Mathematics Education, 12(1), pp.74–89. Available from: https://journalofmathed.scholasticahq.com/article/89050-mathematics-and-science-self-efficacy-and-stem-careers-a-path-analysis.pdf.

Lent, R.W., 2005. A Social Cognitive View of Career Development and Counseling. In: S.D. Brown and R.W. Lent, eds. Career Development and Counseling: Putting Theory and Research to Work. John Wiley and Sons, Inc., pp.101–127.

Lent, R.W., Brown, S.D. and Hackett, G., 2000. Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47(1), pp.36–49. Available from: https://doi.org/10.1037/0022-0167.47.1.36. DOI: https://doi.org/10.1037/0022-0167.47.1.36

Leung, S.A., 2008. The Big Five Career Theories. In: J.A. Athanasou and R. Van Esbroeck, eds. International Handbook of Career Guidance. Dordrecht: Springer Netherlands, pp.115–132. Available from: https://doi.org/10.1007/978-1-4020-6230-8_6. DOI: https://doi.org/10.1007/978-1-4020-6230-8_6

López, P., Simó, P. and Marco, J., 2023. Understanding STEM career choices: A systematic mapping. Heliyon, 9(6), p.e16676. Available from: https://doi.org/10.1016/j.heliyon.2023.e16676. DOI: https://doi.org/10.1016/j.heliyon.2023.e16676

Magee, M., Kuijpers, M. and Runhaar, P., 2022. How vocational education teachers and managers make sense of career guidance. British Journal of Guidance & Counselling, 50(2), pp.273–289. Available from: https://doi.org/10.1080/03069885.2021.1948970. DOI: https://doi.org/10.1080/03069885.2021.1948970

Magere, G.M., 2022. Assisting high school students with career decision-making difficulties through career construction counselling. PhD thesis (Educational Psychology). University of Pretoria, Pretoria, South Africa. Available from: https://repository.up.ac.za/handle/2263/89170.

Marzuki, O.F., Teo, E.T.Y.L., Zainol @ Abdullah, W.N.Z., Khairuddin, N., Inai, N.H., Md Saad, J.B. and Abdul Aziz, M.H., 2024. Innovating Education: A Comprehensive Review of STEM Education Approaches. International Journal of Academic Research in Progressive Education and Development, 13(1), pp.614–631. Available from: https://doi.org/10.6007/IJARPED/v13-i1/20490. DOI: https://doi.org/10.6007/IJARPED/v13-i1/20490

Ministry of Education, Science and Technology, 2023. Curriculum for ordinary secondary education, Form I-IV. Dar es Salaam: Tanzania Institute of Education. Available from: https://www.scribd.com/document/815527495/Curriculum-for-Secondary-Education-Form-I-IV.

National Science Board, 2022. The U.S. Must Improve K-12 STEM Education for All. National Science Foundation, National Center for Science and Engineering Statistics. Science and Engineering Indicators, K–12 education indicator report. Available from: https://nsf-gov-resources.nsf.gov/files/k-12-indicator-2022.pdf.

Pallant, J., 2020. SPSS survival manual: A step-by-step guide to data analysis using IBM SPSS. 7th ed. London: Routledge. Available from: https://doi.org/10.4324/9781003117452. DOI: https://doi.org/10.4324/9781003117452

Papadakis, S., Tousia, C. and Polychronaki, K., 2018. Women in computer science. The case study of the Computer Science Department of the University of Crete, Greece. International Journal of Teaching and Case Studies, 9(2), pp.142–151. Available from: https://doi.org/10.1504/IJTCS.2018.090963. DOI: https://doi.org/10.1504/IJTCS.2018.090963

Petrosino, A.J., Sherard, M.K. and Tharayil, S.A., 2020. The Education Philosophy, Theories and Models That Enable STEM Policy Integration. In: C. Zintgraff, S.C. Suh, B. Kellison and P.E. Resta, eds. STEM in the Technopolis: The Power of STEM Education in Regional Technology Policy. Cham: Springer International Publishing, pp.51–63. Available from: https://doi.org/10.1007/978-3-030-39851-4_3. DOI: https://doi.org/10.1007/978-3-030-39851-4_3

Robnett, R.D., 2016. Gender Bias in STEM Fields: Variation in Prevalence and Links to STEM Self-Concept. Psychology of Women Quarterly, 40(1), pp.65–79. Available from: https://doi.org/10.1177/0361684315596162. DOI: https://doi.org/10.1177/0361684315596162

Roy, P., 2020. Career Guidance: A Way of Life. Tathapi, 19(39), pp.22–31. Available from: https://doi.org/10.2139/ssrn.3640339. DOI: https://doi.org/10.2139/ssrn.3640339

Sáinz, M., Fàbregues, S., Romano, M.J. and López, B.S., 2022. Interventions to increase young people’s interest in STEM. A scoping review. Frontiers in Psychology, 13, p.954996. Available from: https://doi.org/10.3389/fpsyg.2022.954996. DOI: https://doi.org/10.3389/fpsyg.2022.954996

Sakellariou, C. and Fang, Z., 2021. Self-efficacy and interest in STEM subjects as predictors of the STEM gender gap in the US: The role of unobserved heterogeneity. International Journal of Educational Research, 109, p.101821. Available from: https://doi.org/10.1016/j.ijer.2021.101821. DOI: https://doi.org/10.1016/j.ijer.2021.101821

Schulstok, T. and Wikstrand, F., 2020. Gender Equality and Career Guidance in a Nordic Context. In: E.H. Haug, T. Hooley, J. Kettunen and R. Thomsen, eds. Career and Career Guidance in the Nordic Countries, Career development series, vol. 9. Leiden, The Netherlands: Brill, chap. 4, pp.51–64. Available from: https://doi.org/10.1163/9789004428096. DOI: https://doi.org/10.1163/9789004428096_004

Shuma, C.J., 2022. Field data.

Sidiq, M.N., Permanasari, A. and Riandi, R., 2022. The Analysis of STEM Career Interest of Students Aged 13-15 as an Overview for The Development of STEM Career Counseling. Proceedings of the 3rd International Conference of Science Education in Industrial Revolution 4.0, ICONSEIR 2021, December 21st, 2021, Medan, North Sumatra, Indonesia. EAI. Available from: https://doi.org/10.4108/eai.21-12-2021.2317329. DOI: https://doi.org/10.4108/eai.21-12-2021.2317329

Simamora, R.E., Saragih, S. and Hasratuddin, 2019. Improving Students’ Mathematical Problem Solving Ability and Self-Efficacy through Guided Discovery Learning in Local Culture Context. International Electronic Journal of Mathematics Education, 14(1), pp.61–72. Available from: https://doi.org/10.12973/iejme/3966. DOI: https://doi.org/10.12973/iejme/3966

Simon, R.M., Wagner, A. and Killion, B., 2017. Gender and choosing a STEM major in college: Femininity, masculinity, chilly climate, and occupational values. Journal of Research in Science Teaching, 54(3), pp.299–323. Available from: https://doi.org/10.1002/tea.21345. DOI: https://doi.org/10.1002/tea.21345

Sinring, A. and Umar, N.F., 2023. Other people in career choice influence career self-efficacy and individual career self-management. European Journal of Educational Research, 12(2), pp.1045–1057. Available from: https://doi.org/10.12973/eu-jer.12.2.1045. DOI: https://doi.org/10.12973/eu-jer.12.2.1045

Spenner, K.I., 1986. Career Choice and Development by Duane Brown and Linda Brooks. Contemporary Sociology, 15(1), pp.126–127. Available from: https://doi.org/10.2307/2070975. DOI: https://doi.org/10.2307/2070975

Tesha, A.J., 2020. Career Guidance and Career Aspiration among Students in Public Secondary Schools in Dodoma City, Tanzania. Master’s thesis. University of Dodoma, Dodoma, Tanzania. Available from: https://repository.udom.ac.tz/server/api/core/bitstreams/d94d1b94-2bfd-42f5-810c-965bf14898b5/content.

The Tanzania Commission for Universities, 2022. VitalStats on University Education in Tanzania 2021. Dar es Salaam: The Tanzania Commission for Universities. Available from: https://tcu.go.tz/sites/default/files/file_uploads/2024-01/VitalStats%202021.pdf.

United Nations, 2022. Science, Technology, Engineering and Mathematics (STEM) as an Enabler for Development and Peace. (Policy paper). Office of the Special Adviser on Africa. Available from: https://www.un.org/osaa/sites/www.un.org.osaa/files/docs/2116613_stem_policy_paper_web_rev.pdf.

United Republic of Tanzania, 2000. Women and Gender Development Policy. (Government policy). Dar es Salaam, Tanzania: Ministry of Community Development, Women Affairs and Children.

United Republic of Tanzania, 2005. National Strategy for Gender Development. (National strategy). Dar es Salaam, Tanzania: Ministry of Community Development, Gender and Children.

United Republic of Tanzania and Ministry of Education, Science and Technology, 2023. Education and Training Policy 2014. 2023rd ed. Dodoma: Ministry of Education, Science and Technology. Available from: https://web.archive.org/web/20250109094602/https://www.moe.go.tz/sites/default/files/EDUCATION%20AND%20TRAINING%20POLICY%202014%2C%202023%20EDITION.pdf.

Usher, E.L., Ford, C.J., Li, C.R. andWeidner, B.L., 2018. Sources of math and science self-efficacy in rural Appalachia: A convergent mixed methods study. Contemporary Educational Psychology, 57, pp.32–53. Available from: https://doi.org/10.1016/j.cedpsych.2018.10.003. DOI: https://doi.org/10.1016/j.cedpsych.2018.10.003

Wang, M.T. and 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), pp.119–140. Available from: https://doi.org/10.1007/s10648-015-9355-x. DOI: https://doi.org/10.1007/s10648-015-9355-x

White, D., 2014. What Is STEM Education and Why Is It Important? Florida Association of Teacher Educators Journal, 1(14), pp.1–8. Available from: http://www.fate1.org/journals/2014/white.pdf.

World Economic Forum, 2022. Global Gender Gap Report 2022. (Insight report). Cologny/Geneva: World Economic Forum. Available from: https://www3.weforum.org/docs/WEF_GGGR_2022.pdf.

Yamane, T., 1967. Statistics, An Introductory Analysis. 2nd ed. New York, Evanston, and London: Harper & Row, Publishers.

Zhou, X., Li, X. and Gao, Y., 2016. Career Guidance and Counseling in Shanghai, China: 1977 to 2015. Career Development Quarterly, 64(3), pp.203–215. Available from: https://doi.org/10.1002/cdq.12055. DOI: https://doi.org/10.1002/cdq.12055

First autor - Christina Jerome Shuma

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Published

2026-04-25

Data Availability Statement

The data supporting this research are part of the first author’s PhD thesis, which has been successfully defended but not yet published. The data are available from the corresponding author upon reasonable request.

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Research articles

How to Cite

Shuma, C., Gwajekera, F.D. and Rubeba, A.M., 2026. Students’ self-efficacy in STEM subjects: influence of career guidance support across gender. Science Education Quarterly [Online], 3(2), pp.44–56. Available from: https://doi.org/10.55056/seq.1004 [Accessed 29 April 2026].
Received 2025-06-12
Accepted 2025-12-29
Published 2026-04-25