The influence of scholarship funding on the participation of students in science, technology, engineering, and mathematics [STEM] doctoral programmes in selected universities in Kenya
DOI:
https://doi.org/10.51867/ajernet.7.4.24Keywords:
Doctoral Funding, Higher Education Financing, Kenya, STEM Doctoral Education, Self-Financing, Student ParticipationAbstract
Scholarship funding plays a critical role in supporting doctoral education, particularly in resource-constrained higher education systems where the cost of advanced research training can limit access for many students. In developing countries such as Kenya, scholarships serve as a key mechanism through which universities and funding agencies expand access to doctoral education and strengthen research capacity in science, technology, engineering, and mathematics (STEM). This study examined the influence of scholarship funding on the participation of students in STEM doctoral programmes in selected universities in Kenya. This study is guided by Human Capital Theory and Resource Dependence Theory. The study adopted a mixed-methods research approach combining quantitative survey data with qualitative insights from interviews and focus group discussions. Quantitative data were collected from 210 STEM doctoral students, while qualitative data were obtained from departmental heads and doctoral candidates in participating universities. Descriptive statistics were used to determine the prevalence of scholarship funding, and inferential analysis examined the relationship between scholarship support and students’ participation in doctoral programmes. Qualitative data were analyzed using thematic analysis to explore students’ experiences with scholarship funding. The findings revealed that scholarship funding significantly supports participation in STEM doctoral programmes by reducing financial barriers and enabling sustained academic engagement. Students who received scholarships reported greater ability to focus on research activities, meet programme milestones, and maintain consistent academic progress compared to those without financial support. Qualitative findings further showed that scholarships reduce financial stress, enhance motivation, and improve research productivity. The study concludes that expanding scholarship opportunities is essential for strengthening participation and retention in STEM doctoral programmes and for enhancing research capacity within Kenyan universities. The study recommends expanding scholarship opportunities, improving transparency of funding information, and prioritizing comprehensive support for research-intensive STEM doctoral programmes.
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African Institute of Mathematical Sciences. (2024). AU, AIMS partner to strengthen science, technology, engineering and mathematics (STEM) in Africa. https://nexteinstein.org/au-aims-partner-to-strengthen-science-technology-engineering-and-mathematics-stem-in-africa/
African Union. (n.d.). Agenda 2063: The Africa we want. https://au.int/sites/default/files/Documents/33126-doc-framework_document_book.pdf
Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press.
Bekova, S. (2021). Does employment during doctoral training reduce the PhD completion rate? Studies in Higher Education, 46(6), 1068-1080.
https://doi.org/10.1080/03075079.2019.1672648
Belavy, D. L., Owen, P. J., & Livingston, P. M. (2020). Do successful PhD outcomes reflect the research environment rather than academic ability? PLOS ONE, 15(8), Article e0236327. https://doi.org/10.1371/journal.pone.0236327
Blume-Kohout, M. E., & Adhikari, D. (2016). Training the scientific workforce: Does funding mechanism matter? Research Policy, 45(6), 1291-1303. https://doi.org/10.1016/j.respol.2016.03.011
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Breier, M., & Herman, C. (2017). Doctoral education in South Africa: Policy, discourse and data. African Minds.
Cloete, N., van Schalkwyk, F., Winnink, J., & Tijssen, R. (2022). Researching research universities in Africa. In A research agenda for global higher education (pp. 131-152). Edward Elgar Publishing.
https://doi.org/10.4337/9781800376069.00013
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.
Davis, G. F., & Cobb, J. A. (2010). Resource dependence theory: Past and future. Research in the Sociology of Organizations, 28, 21-42.
https://doi.org/10.1108/S0733-558X(2010)0000028006
Donald, W. E., Baruch, Y., & Ashleigh, M. (2019). The undergraduate self-perception of employability: Human capital, careers advice, and career ownership. Studies in Higher Education, 44(4), 599-614.
https://doi.org/10.1080/03075079.2017.1387107
Government of Kenya. (n.d.). Kenya Vision 2030. https://vision2030.go.ke/
Graddy-Reed, A., Lanahan, L., & D'Agostino, J. (2021). Training across the academy: The impact of R&D funding on graduate students. Research Policy, 50(5), Article 104224. https://doi.org/10.1016/j.respol.2021.104224
Grote, D., Pendergast, M., & Hurst, M. (2021). STEM doctoral students' skill development: Does funding mechanism matter? International Journal of STEM Education, 8, Article 36. https://doi.org/10.1186/s40594-021-00308-w
Gurib-Fakim, A., & Signe, L. (2022). Africa's innovation ecosystem: Opportunities and challenges. Brookings Institution Press.
Hillman, A. J., Withers, M. C., & Collins, B. J. (2009). Resource dependence theory: A review. Journal of Management, 35(6), 1404-1427.
https://doi.org/10.1177/0149206309343469
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308
Li, Y., Wang, K., Xiao, Y., & Froyd, J. E. (2020). Research and trends in STEM education: A systematic review of journal publications. International Journal of STEM Education, 7, Article 11. https://doi.org/10.1186/s40594-020-00207-6
National Center for Education Statistics. (2023). Doctorate tuition, fees, and total budget across school types. https://nces.ed.gov/datalab/powerstats/table/ijxncy
National Center for Science and Engineering Statistics. (2021). Doctorate recipients from U.S. universities: 2020 (NSF 22-300). National Science Foundation. https://ncses.nsf.gov/pubs/nsf22300
Ngome, C., Oanda, I., & Chege, F. (2020). Doctoral education in Kenya: Trends, challenges, and prospects. African Population and Health Research Center.
Nguyen, T. D., Kramer, J. W., & Evans, B. J. (2019). The effects of grant aid on student persistence and degree attainment: A systematic review and meta-analysis of the causal evidence. Review of Educational Research, 89(6), 831-874. https://doi.org/10.3102/0034654319877156
Pfeffer, J., & Salancik, G. R. (1978). The external control of organizations: A resource dependence perspective. Harper & Row.
Rossello, G. (2023). The effect of government cuts of doctoral scholarships on science (LEM Working Paper Series No. 2023/33). Laboratory of Economics and Management, Scuola Superiore Sant'Anna.
https://doi.org/10.2139/ssrn.4575852
Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.
United Nations. (2024). STEM education for the Fourth Industrial Revolution (4IR) in Africa, with a focus on generating decent jobs for Africa's youth. https://www.iicba.unesco.org/en/africa-education-knowledge-platform/stem-education-fourth-industrial-revolution-4ir-africa-focus-generating-decent-jobs-africas-youth
United Nations Educational, Scientific and Cultural Organization. (2022). World higher education: Pathways to recovery.
Winterton, J., & Cafferkey, K. (2019). Revisiting human capital theory: Progress and prospects. In Elgar's introduction to theories of human resources and employment relations (pp. 218-234).
https://doi.org/10.4337/9781786439017.00023
Wollast, R., Boudrenghien, G., Van der Linden, N., Galand, B., Roland, N., Devos, C., & Frenay, M. (2018). Who are the doctoral students who drop out? Factors associated with doctoral degree completion. International Journal of Higher Education, 7(4), 143-156.
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