Influence of National Culture on Perspectives and Factors Affecting Student Dropout: A Comparative Study of Australia, Saudi Arabia, and Ethiopia
DOI:
https://doi.org/10.14738/abr.1011.13508Keywords:
Student dropout, Student attrition, National culture, Hofstede model, Education.Abstract
Student dropout is a complex issue with significant repercussions for educational institutions and nations. Using the Hofstede national culture model, this study assessed the various social, psychological, economic, and organizational factors that influence student dropout. Since developed, developing, and least-developed countries score differently on the Hofstede model, Australia, Saudi Arabia, and Ethiopia were selected as representative nations. The evaluation indicates that social factors may have a low, moderate, and high influence on student dropout rates in Australia, Saudi Arabia, and Ethiopia, respectively. Different organizational factors may influence student dropout rates in Australia, Saudi Arabia, and Ethiopia. In Australia and Ethiopia, psychological factors may play a larger role in student dropout than in Saudi Arabia. In Australia and Ethiopia, economic factors may play a larger role in determining student attrition than in Saudi Arabia. In Australia, the dropout rate among female students may not be a major concern, while it could be a more prominent concern in Ethiopia and Saudi Arabia. However, in Saudi Arabia, such concerns are mitigated by the substantial financial assistance provided by the government to students pursuing an education.
References
Abhayaratna, J., Andrews, L., Nuch, H., & Podbury, T. (2008). Part Time Employment: The Australian Experience. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1159594
Aggarwal, R., & Goodell, J. W. (2009). Markets and institutions in financial intermediation: National characteristics as determinants. Journal of Banking & Finance, 33(10), 1770–1780. https://doi.org/10.1016/j.jbankfin.2009.03.004
Aina, C. (2013). Parental background and university dropout in Italy. Higher Education, 65(4), 437–456. https://doi.org/10.1007/s10734-012-9554-z
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-t
Alam, F., Singh, H. P., & Singh, A. (2022). Economic Growth in Saudi Arabia through Sectoral Reallocation of Government Expenditures. SAGE Open, 12(4), 215824402211271. https://doi.org/10.1177/21582440221127158
Alfalih, A. A., & Alfalih, A. A. (2020). The Impact of Background Characteristics on Graduate School Attendance: Evidence from a Developing Economy. Journal of the Knowledge Economy, 12(1), 363–383. https://doi.org/10.1007/s13132-020-00636-2
Ansah, M. O., & Louw, L. (2019). The influence of national culture on organizational culture of multinational companies. Cogent Social Sciences, 5(1), 1623648. https://doi.org/10.1080/23311886.2019.1623648
Badr, G., Algobail, A., Almutairi, H., & Almutery, M. (2016). Predicting Students’ Performance in University Courses: A Case Study and Tool in KSU Mathematics Department. Procedia Computer Science, 82, 80–89. https://doi.org/10.1016/j.procs.2016.04.012
Bean, J. P., & Metzner, B. S. (1985). A Conceptual Model of Nontraditional Undergraduate Student Attrition. Review of Educational Research, 55(4), 485–540. https://doi.org/10.3102/00346543055004485
Braxton, M., Johnson, M., & Shaw-Sullivan, V. (1997). Appraising Tinto’s Theory of College Student Departure. In J. C. Smart (Eds.), Higher Education: A Handbook of Theory and Research. New York: Agathon Press.
Brummelhuis, L. L. T., & Bakker, A. B. (2012). A resource perspective on the work–home interface: The work–home resources model. American Psychologist, 67(7), 545–556. https://doi.org/10.1037/a0027974
Burr, P. L., Burr, R. M., & Novak, L. F. (1999). Student Retention is More Complicated Than Merely Keeping the Students You Have Today: Toward a “Seamless Retention Theory.” Journal of College Student Retention: Research, Theory & Practice, 1(3), 239–253. https://doi.org/10.2190/hc7v-gkc1-27jm-3v3j
Cabrera, A. F., Nora, A., & Castaneda, M. B. (1993). College Persistence: Structural Equations Modeling Test of an Integrated Model of Student Retention. The Journal of Higher Education, 64(2), 123-129. https://doi.org/10.2307/2960026
Cabrera, L., Bethencourt, J. T., Álvarez Pérez, P., & Gónzalez Alfonso, M. (2006). El Problema Del Abandono de los Estudios Universitarios. Relieve, 12(2), 171-203. https://ojs.uv.es/index.php/RELIEVE/article/view/4226
Casanova, J. R., Cervero, A., Núñez, J. C., Almeida, L. S., & Bernardo, A. (2018). Factors that Determine the Persistence and Dropout of University Students. Psicothema, 30(4), 408–414. https://doi.org/10.7334/psicothema2018.155
Chen, R., & DesJardins, S. L. (2007). Exploring the Effects of Financial Aid on the Gap in Student Dropout Risks by Income Level. Research in Higher Education, 49(1), 1–18. https://doi.org/10.1007/s11162-007-9060-9
Dewberry, C., & Jackson, D. J. (2018). An application of the theory of planned behavior to student retention. Journal of Vocational Behavior, 107, 100–110. https://doi.org/10.1016/j.jvb.2018.03.005
Donoso, S., & Schiefelbein, E. (2007). Analysis de Los Modelos Explicativos de Retencion de Estudiantes en la Universidad: Una Vision Desde La Desigualdas Social. Estudios Pedagógicos (Valdivia), 33(1), 7–27. https://doi.org/10.4067/s0718-07052007000100001
Gablinske, P. B. (2014). A case study of student and teacher relationships and the effect on student learning. Open Access Dissertations.Paper 266.https://digitalcommons.uri.edu/oa_diss/266.
Glynn, J. G., Sauer, P. L., & Miller, T. E. (2003). Signaling Student Retention with Prematriculation Data. Journal of Student Affairs Research and Practice, 41(1), 41–67. https://doi.org/10.2202/1949-6605.1304
Haert, M. V. D., Arias Ortiz, E., Emplit, P., Halloin, V., & Dehon, C. (2013). Are dropout and degree completion in doctoral study significantly dependent on type of financial support and field of research? Studies in Higher Education, 39(10), 1885–1909. https://doi.org/10.1080/03075079.2013.806458
Hofstede, G. (2022a). Hofstede Insights. https://www.hofstede-insights.com/fi/product/compare-countries/
Hofstede, G. (2022b). Hofstede Insights. https://hi.hofstede-insights.com/national-culture
Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and Organizations: Software of the Mind (3rd ed.). McGraw-Hill Education
Jeannotte, S. (2017). The Social Effects of Culture: A Literature Review. In Faculty of Social Sciences. Center on Governance, University of Ottawa. https://socialsciences.uottawa.ca/governance/sites/socialsciences.uottawa.ca.governance/files/social_effects_of_culture-final.pdf
Jepsen, D. M., & Varhegyi, M. M. (2009). Undergraduate student aspirations, awareness and knowledge of postgraduate study options: A preliminary, qualitative investigation [Research Paper]. In ANZAM. International Employment Relations Association Conference, Bangkok, https://www.anzam.org/wp-content/uploads/pdf-manager/1158_ANZAM2009-281.PDF
Jia, P., & Maloney, T. (2015). Using predictive modelling to identify students at risk of poor university outcomes. Higher Education, 70(1), 127–149. https://doi.org/10.1007/s10734-014-9829-7
Jung, J., & Kim, Y. (2017). Exploring regional and institutional factors of international students’ dropout: The South Korea case. Higher Education Quarterly, 72(2), 141–159. https://doi.org/10.1111/hequ.12148
Junior, J. D. S. S., & Real, G. C. M. (2020). Institutional Factor for Dropout in Higher Education: Analysis of Brazilian Academic Production. International Journal of Higher Education, 6, 1-22, e020037.
Khan, M. A., & Law, L. S. (2018). The Role of National Cultures in Shaping the Corporate Management Cultures: A Three-Country Theoretical Analysis. In J. Vveinhardt (Ed.), Organizational Culture. IntechOpen. https://doi.org/10.5772/intechopen.78051
Larsen, M. R., Sommersel, H. B., & Larsen, M. S. (2013, April). Evidence on Dropout Phenomena at Universities. Danish Clearinghouse for Educational Research. https://edu.au.dk/fileadmin/edu/Udgivelser/Clearinghouse/Review/Evidence_on_dropout_from_universities_brief_version.pdf
Lehman, D. R., Chiu, C. Y., & Schaller, M. (2004). Psychology and Culture. Annual Review of Psychology, 55(1), 689–714. https://doi.org/10.1146/annurev.psych.55.090902.141927
Lim, N. (2016). Cultural differences in emotion: differences in emotional arousal level between the East and the West. Integrative Medicine Research, 5(2), 105–109. https://doi.org/10.1016/j.imr.2016.03.004
Pal, S. (2012). Mining Educational Data to Reduce Dropout Rates of Engineering Students. International Journal of Information Engineering and Electronic Business, 4(2), 1-7. https://doi.org/10.5815/ijieeb.2012.02.01
Pascarella, E. T., & Terenzini, P. T. (1991). How College Affects Students: Findings and Insights from Twenty Years of Research (The Jossey-Bass Higher and Adult Education Series) (Volume I ed.). Jossey-Bass.
Ramis, A. A. (2018, May). Instructors’ attitudes and perceptions toward critical thinking: A case study of interior design instructors in Saudi Arabia. University of Northern Iowa. https://core.ac.uk/download/pdf/223005041.pdf
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838
Ripamonti, E., & Barberis, S. (2017). The Effect of Cultural Capital on High School Dropout: An Investigation in the Italian Provinces. Social Indicators Research, 139(3), 1257–1279. https://doi.org/10.1007/s11205-017-1754-6
Rodríguez-Muñiz, L. J., Bernardo, A. B., Esteban, M., & Díaz, I. (2019). Dropout and transfer paths: What are the risky profiles when analyzing university persistence with machine learning techniques? Plos One, 14(6), 1-20. https://doi.org/10.1371/journal.pone.0218796
Saudi Vision (2030). Saudi Gazette Full Text of Saudi Arabia’s Vision 2030 | Al Arabiya English Available online: https://english.alarabiya.net/en/perspective/features/2016/04/26/Full-text-of-Saudi-Arabia-s-Vision-2030.html (accessed on 7 July 2022).
Scherrer, V., & Preckel, F. (2019). Development of Motivational Variables and Self-Esteem During the School Career: A Meta-Analysis of Longitudinal Studies. Review of Educational Research, 89(2), 211–258. https://doi.org/10.3102/0034654318819127
Shuja, A., Ali, A., Khan, S. S. A., Burki, S. B., & Bilal, S. (2022). Perspectives on the Factors Affecting Students’ Dropout Rate During COVID-19: A Case Study From Pakistan. SAGE Open, 12(2), 215824402210973. https://doi.org/10.1177/21582440221097378
Simic, N., & Krstic, K. (2017). School factors related to dropout from primary and secondary education in Serbia: A qualitative research. Psiholoska Istrazivanja, 20(1), 51–70. https://doi.org/10.5937/psistra1701051s
Singh, A., Singh, H. P., Alam, F., & Agrawal, V. (2022a). Role of Education, Training, and E-Learning in Sustainable Employment Generation and Social Empowerment in Saudi Arabia. Sustainability, 14(14), 8822. https://doi.org/10.3390/su14148822
Singh, H. P., & Agarwal, A. (2011). Espousal of E-Learning in Adult Education. In Proceedings of the International Conference on Computational Techniques and Artificial Intelligence (pp. 28-31). Pattaya, Thailand: ISEM-Planetary Scientific Research Centre.
Singh, H. P., & Alhulail, H. N. (2022). Predicting Student-Teachers Dropout Risk and Early Identification: A Four-Step Logistic Regression Approach. IEEE Access, 10, 6470–6482. https://doi.org/10.1109/access.2022.3141992
Singh, H. P., & Alshammari, K. (2021). Impact of Digital Technology-Enabled Personalized and Adaptive Learning on Student Learning Performance: A TOE Framework for Saudi Arabia. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(13), 12A13X. https://doi.org/10.14456/ITJEMAST.2021.262
Singh, H. P., & Chand, P. (2012). ICT Education: Challenges and Opportunities. In D. Parimala (Ed.), Role of Teachers in Changing Context: Policy and Practice (1st ed., pp. 255–263). Kanishka Publishers, Distributors.
Singh, H. P., Agarwal, A., & Das, J. K. (2013). Implementation of E-Learning in Adult Education: A Roadmap. Mumukshu Journal of Humanities, 5(1), 229–232.
Singh, H., Singh, A., Alam, F., & Agrawal, V. (2022b). Impact of Sustainable Development Goals on Economic Growth in Saudi Arabia: Role of Education and Training. Sustainability, 14(21), 14119. https://doi.org/10.3390/su142114119
Stoecker, J. L. (1991). Factors influencing the decision to return to graduate school for professional students. Research in Higher Education, 32(6), 689–701. https://doi.org/10.1007/bf00974738
Suhlmann, M., Sassenberg, K., Nagengast, B., & Trautwein, U. (2018). Belonging Mediates Effects of Student-University Fit on Well-Being, Motivation, and Dropout Intention. Social Psychology, 49(1), 16–28. https://doi.org/10.1027/1864-9335/a000325
Tan, M., & Shao, P. (2015). Prediction of Student Dropout in E-Learning Program Through the Use of Machine Learning Method. International Journal of Emerging Technologies in Learning (IJET), 10(1), 11–17. https://doi.org/10.3991/ijet.v10i1.4189
Tinto V. (2010). From Theory to Action: Exploring the Institutional Conditions for Student Retention. In: J. C. Smart (Eds.), Higher Education: Handbook of Theory and Research, vol 25. Dordrecht: Springer. https://doi.org/10.1007/978-90-481-8598-6_2
Tinto, V. (1975). Dropout from Higher Education: A Theoretical Synthesis of Recent Research. Review of Educational Research, 45(1), 89–125. https://doi.org/10.3102/00346543045001089
Troelsen, R., & Laursen, P. F. (2014). Is Drop-out from University Dependent on National Culture and Policy? The Case of Denmark. European Journal of Education, 49(4), 484–496. https://doi.org/10.1111/ejed.12094
UNESCO Institute for Statistics. (2018). Higher Education. http://Uis.Unesco.Org/En/Topic/Higher-Education. Retrieved July 24, 2022, fromhttp://uis.unesco.org/en/topic/higher-education
UNESCO. (1998). Higher Education in the Twenty-first Century: Vision and Action [Research Paper]. World Conference on Higher Education, Paris, 5-9 October. http://unesdoc.unesco.org
UNESCO. (2015). Ethiopia for all 2015 National Review. http://unesdoc.unesco.org
Vaara, J. P., Eränen, L., Ojanen, T., Pihlainen, K., Nykänen, T., Kallinen, K., Heikkinen, R., & Kyröläinen, H. (2020). Can Physiological and Psychological Factors Predict Dropout from Intense 10-Day Winter Military Survival Training? International Journal of Environmental Research and Public Health, 17(23), 9064. https://doi.org/10.3390/ijerph17239064
Wigfield, A., Rosenzweig, E. Q., & Eccles, J. S. (2017). Achievement values: Interactions, interventions, and future directions. In A. J. Elliot, C. S. Dweck, & D. S. Yeager (Eds.), Handbook of competence and motivation: Theory and application (2nd ed., pp. 116–134). The Guilford Press.
Winding, T. N., & Andersen, J. H. (2015). Socioeconomic differences in school dropout among young adults: the role of social relations. BMC Public Health, 15(1). https://doi.org/10.1186/s12889-015-2391-0
World Bank Group. (2016, March 29). Yes, Culture Matters for Economic Development. World Bank. https://www.worldbank.org/en/news/feature/2016/03/28/yes-culture-matters-for-economic-development
World Bank. (2022). Population, total - Least developed countries: UN classification. The World Bank Data. https://data.worldbank.org/indicator/SP.POP.TOTL?locations=XL
Zhang, Y., Oussena, S., Clark, T., & Kim, H. (2010, June). Use Data Mining to Improve Student Retention in Higher Education - A Case Study. Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 1, DISI, Funchal, Madeira, Portugal.
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