Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Purpose: The study aims to identify key factors influencing the number of applications per spot in undergraduate and integrated master’s programs, focusing on high school exam results, candidate age, and application strategies. The research provides insights to optimize university recruitment policies. Design/methodology/approach: The research employs a quantitative approach based on statistical analysis of data from university admission records. Methods include descriptive statistics, linear regression models, and t-tests to examine the relationships between high school exam results, candidate age, and the number of applications per spot. The study also leverages Power BI tools to visualize and prioritize key factors influencing application trends. Findings: The study revealed that mathematics and English high school exam results significantly influence the number of applications per spot, with mathematics having a stronger impact. Younger candidates (<20 years) demonstrated more active application strategies, submitting multiple applications, which increased the average number of applications per spot. The findings also emphasize the diversity in application trends based on candidate age and academic performance. Research limitations/implications: The study is limited to data from a single university in Poland, which may affect the generalizability of the findings to other institutions or countries. Future research could expand the analysis to include multiple universities or international contexts. Additionally, incorporating qualitative methods could provide deeper insights into candidate motivations and application strategies. Practical implications: The study primarily contributes to understanding application behaviors in university recruitment. While its direct practical implications are limited, findings could help universities refine recruitment strategies and support programs. Social implications: The study primarily focuses on university recruitment processes, with limited direct societal impact. However, its findings could support policies promoting inclusivity in higher education. Originality/value: The paper offers a novel perspective on university recruitment by integrating high school exam results, candidate age, and application strategies into a comprehensive analysis. It provides valuable insights for university administrators and policymakers aiming to optimize recruitment strategies and enhance inclusivity.
Rocznik
Tom
Strony
275--301
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
autor
- Institute of Management and Quality Sciences, Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn
Bibliografia
- 1. Arcidiacono, P., Hotz, V.J. (2021). New approaches to understanding the choice of major. NBER Reporter, no. 2. National Bureau of Economic Research. Available at: https://www.nber.org/reporter/2021number2/new-approaches-understanding-choicemajor, 8.01.2025.
- 2. Belasco, A.S., Rosinger, K.O., Hearn, J.C. (2015). The test-optional movement at America's selective liberal arts colleges: A boon for equity or something else? Educational Evaluation and Policy Analysis, 37(2), pp. 206-223. https://doi.org/10.3102/0162373714537350
- 3. Black, S.E., Cortes, K.E., Lincove, J.A. (2020). Apply yourself: Racial and ethnic differences in college application behaviors. Education Finance and Policy, 15(2), pp. 209- 236. https://doi.org/10.1162/edfp_a_00273
- 4. Bordón, P., Canals, C., Mizala, A. (2020). The gender gap in college major choice in Chile. Economics of Education Review, 77, p. 101988. https://doi.org/10.1016/j.econedurev. 2020.101988
- 5. Bravo, L.G., Nistor, N. (2022). Higher education managers' perspectives on quality management and technology acceptance. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2022.107407
- 6. Doleśniak-Harczuk, O. et al. (2021). Formy wspierania młodzieży w planowaniu kariery zawodowej. Problemy Rozwoju Regionalnego, 18(3), pp. 87-100.
- 7. Espenshade, T.J., Radford, A.W. (2009). No longer separate, not yet equal: Race and class in elite college admission and campus life. Princeton: Princeton University Press.
- 8. Estevan, F., Gall, T., Morin, L.P. (2019). Redistribution without distortion: Evidence from an affirmative action programme at a large Brazilian university. The Economic Journal, 129(619), pp. 1182-1212. https://doi.org/10.1093/ej/uez022
- 9. Grodsky, E., Jones, M.T. (2007). Real and imagined barriers to college entry: Perceptions of cost. Social Science Research, 36(2), pp. 745-766. https://doi.org/10.1016/j.ssresearch. 2006.05.001
- 10. Hossler, D., Shapiro, D., Dundar, A. (2020). Transfer and mobility: A national view of student movement in postsecondary institutions, Fall 2013 cohort. Research in Higher Education, 61(5), pp. 569-586. https://doi.org/10.1007/s11162-020-09593-3
- 11. Hoxby, C.M. (2009). The changing selectivity of American colleges. Journal of Economic Perspectives, 23(4), pp. 95-118. https://doi.org/10.1257/jep.23.4.95
- 12. Kisiołek, A. (2020). Marketing internetowy szkół wyższych w Polsce. Marketing i Rynek, 27(6), pp. 42-51. https://doi.org/10.33226/1231-7853.2020.6.5
- 13. Marcinkowski, F., Kieslich, K., Starke, C. (2020). Implications of AI (un-) fairness in higher education admissions. Proceedings of the 2020 ACM Conference. https://doi.org/10.1145/3351095.3372867
- 14. Marginson, S. (2006). Dynamics of national and global competition in higher education. Higher Education, 52(1), pp. 1-39. https://doi.org/10.1007/s10734-004-7649-x
- 15. Marzec, M. (2016). Motywy podjęcia studiów na kierunku zarządzanie publiczne w ISP UJ. Zeszyty Naukowe Uniwersytetu Jagiellońskiego. Prace Instytutu Studiów Publicznych, 4(1), pp. 25-38.
- 16. Michel, R.S., Belur, V., Naemi, B. (2019). Graduate admissions practices: A targeted review of the literature. ETS Research Report Series. https://doi.org/10.1002/ets2.12271
- 17. Murphy, R., Wyness, G. (2020). Minority report: The impact of predicted grades on university admissions of disadvantaged groups. Education Economics, 28(4), pp. 366-381. https://doi.org/10.1080/09645292.2020.1761945
- 18. Neroni, J., Meijs, C., Gijselaers, H., Kirschner, P.A., de Groot, R.H.M. (2021). Learning strategies and academic performance in distance education. Smart Learning Environments, 8(1), Article 10. https://doi.org/10.1186/s40561-021-00177-4
- 19. Oreopoulos, P., Petronijevic, U. (2016). Making college worth it: A review of the returns to higher education. The Future of Children, 23(1), pp. 41-65. https://doi.org/10.12930/NACADA-14-026
- 20. Reardon, S.F., Baker, R., Klasik, D. (2012). Race, income, and college admissions. Sociology of Education, 85(1), pp. 19-39. https://doi.org/10.1177/0038040711411280
- 21. Rusanen, J., Pursiainen, M., Hakola, M., Kaleva, S. (2019). Students' reasons for STEM choices and the relationship of mathematics choice to university admission. International Journal of STEM Education, 6(1), pp. 1-15. https://doi.org/10.1186/s40594-019-0196-x
- 22. Tinto, V. (2012). Completing college: Rethinking institutional action. Chicago: University of Chicago Press.
- 23. Yusoff, M.S.B. (2019). Multiple mini-interview as an admission tool in higher education. Journal of Taibah University Medical Sciences, 14(1), pp. 1-8. https://doi.org/10.1016/j.jtumed.2018.10.003
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6462d03a-9800-4440-9d92-c2427d0336d8
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.