Mapping Prospective International Student Migration Using Digital Traces (SRI LANKA, 2014-2024)

Authors

DOI:

https://doi.org/10.53983/ijmds.v14n10.009

Keywords:

Prospective, Proxy, International Student Migration, Digital Traces

Abstract

This article examines prospective international student migration (ISM) trends from Sri Lanka between 2014 and 2024, using digital traces from Google Trends and Facebook Audience Insights as proxies for migration intentions. Amid growing global student mobility and significant socio-economic changes in Sri Lanka, including the COVID-19 and recent economic crisis, traditional data sources often fail to provide timely insights into emerging migration patterns. This study utilizes anonymized, aggregated search query data on keywords such as “student visa,” “scholarships,” destination countries, and levels or fields of study to analyze the volume, destination preferences, demographic composition, and educational interests of potential student migrants. Findings reveal a marked increase in interest in studying abroad, particularly following the COVID-19 pandemic and during the economic crisis. Australia remains the top preferred destination, followed by the UK, with notable regional disparities within Sri Lanka. The data indicate a male dominance (61%) among interested individuals, with the 25–34 age group showing the highest engagement. Master’s degrees emerge as the most sought-after qualification, while Management, IT, and Applied Sciences are the most popular fields. This research highlights the value of digital trace data as a near real-time complement to traditional approaches for monitoring migration trends and provides key insights into the drivers and dynamics of contemporary Sri Lankan ISM.

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Author Biography

Nipun Ranasinghe, Department of Demography, University of Colombo, Sri Lanka

Nipun Ranasinghe received his Bachelor of Arts (Honours) degree in Demography from the University of Colombo and is currently a graduate student at the same university, pursuing a Master’s in Environment and Regional Development at the Department of Geography. His research interests include the intersections of population and environment. He is presently attached to the Marga Institute for Development Studies, a non-profit research organization based in Colombo, Sri Lanka.

References

Alho, R. (2020). ‘You need to know someone who knows someone’: International students’ job search experiences. Nordic Journal of Working Life Studies, 10(2). https://doi.org/10.18291/njwls.v10i2.120817

Amani, M., & Kim, M. (2017). Study Abroad Participation at Community Colleges: Students’ Decision and Influential Factors. Community College Journal of Research and Practice, 42(1), 1–15. https://doi.org/10.1080/10668926.2017.1352544

Bahna, M. (2018). Study choices and returns of international students: On the role of cultural and economic capital of the family. Population, Space and Place, 24(2), e2082. https://doi.org/10.1002/psp.2082

Becker, G. S. (1975). Human capital: A theoretical and empirical analysis, with special reference to education (2nd ed.). National Bureau of Economic Research. http://www.nber.org/books/beck75-1

Bernard, A., Bell, M., & Charles-Edwards, E. (2014). Life-course transitions and the age profile of internal migration. Population and Development Review, 40(2), 213–239. https://doi.org/10.1111/j.1728-4457.2014.00671.x

Böhme, M. H., Gröger, A., & Stöhr, T. (2020). Searching for a better life: Predicting international migration with online search keywords. Journal of Development Economics, 142, 102347. https://doi.org/10.1016/j.jdeveco.2019.04.002

Bound, J., Braga, B., Khanna, G., & Turner, S. (2021). The globalization of postsecondary education: The role of international students in the US higher education system. The Journal of Economic Perspectives, 35(1), 163–184. https://doi.org/10.1257/jep.35.1.163

Carling, J., & Schewel, K. (2018). Revisiting aspiration and ability in international migration. Journal of Ethnic and Migration Studies, 44(6), 945–963. https://doi.org/10.1080/1369183X.2017.1384146

Ceci, S. J., & Williams, W. M. (Eds.). (2007). Why aren’t more women in science?: Top researchers debate the evidence. American Psychological Association. https://doi.org/10.1037/11546-000

Central Bank of Sri Lanka. (2023). Annual Report 2022. https://www.cbsl.gov.lk/en/publications/economic-and-financial-reports/annual-reports/annual-report-2022

Cesare, N., Lee, H., McCormick, T., Spiro, E., & Zagheni, E. (2018). Promises and pitfalls of using digital traces for demographic research. Demography, 55(5), 1979–1999. https://doi.org/10.1007/s13524-018-0715-2

Choudaha, R., & Chang, L. (2012). Trends in international student mobility. World Education Services. https://wesopportunities.org/resources/trends-in-international-student-mobility/

De Haas, H. (2010). Migration and development: A theoretical perspective. International Migration Review, 44(1), 227–264. https://doi.org/10.1111/j.1747-7379.2009.00804.x

De Wit, H., & Altbach, P. G. (2021). Internationalization in higher education: global trends and recommendations for its future. Policy Reviews in Higher Education, 5(1), 28–46. https://doi.org/10.1080/23322969.2020.1820898

Department of Examinations - Sri Lanka. (2024). Performance of candidates G. C. E. (A/L) examination - 2023(2024). https://www.doenets.lk/examresults

Gbollie, C., & Gong, S. (2020). Emerging destination mobility. International Journal of Educational Management, 34(1), 18–34. https://doi.org/10.1108/ijem-02-2019-0041

Hawelka, B., Sitko, I., Beinat, E., Sobolevsky, S., Kazakopoulos, P., & Ratti, C. (2014). Geo-located Twitter as a proxy for global mobility patterns. Cartography and Geographic Information Science, 41(3), 260–271. https://doi.org/10.1080/15230406.2014.890072

Higher Education Statistics Agency. (2023, January 31). Higher education student data 2021/22. https://www.hesa.ac.uk/news/31-01-2023/higher-education-student-data-202122

Hou, C., & Du, D. (2022). The changing patterns of international student mobility: A network perspective. Journal of Ethnic and Migration Studies, 48(1), 248–272. https://doi.org/10.1080/1369183x.2020.1797476

Hugo, G., & Dissanayake, L. (2017). The process of Sri Lankan migration to Australia focusing on irregular migrants seeking asylum. In D. D. Jayasuriya, S. W. R. de A. Samarasinghe, & R. D. Senanayake (Eds.), Sri Lanka’s global migrants: Fiscal and social implications (pp. 197–226). ANU Press. https://doi.org/10.22459/lwg.12.2017.08

ICEF. (2023, September 12). Higher education supply-demand gap a major driver of Sri Lankan outbound student mobility. ICEF Monitor - Market Intelligence for International Student Recruitment. https://monitor.icef.com/2023/08/higher-education-supply-demand-gap-a-major-driver-of-sri-lankan-outbound-student-mobility/

Jayasuriya, D., & McAuliffe, M. (2013). Placing recent Sri Lankan maritime arrivals in a broader migration context. Australian Government, Department of Immigration and Border Protection. https://www.homeaffairs.gov.au/research-and-stats/files/placing-recent-sri-lankan-maritime-arrivals-in-a-broader-migration-context.pdf

Jayawardena, P. (2020). Sri Lankan out-migration: Five key waves since independence. University of Colombo Review (Series III), 4(1), 1–20. https://review.cmb.ac.lk/wp-content/uploads/2022/09/UCR_Vol4_No1_Art_1.pdf

Jayasuriya, D., & McAuliffe, M. (2017). Placing Sri Lankan maritime arrivals in a broader migration context. https://doi.org/10.22459/LWG.12.2017.03

Jurić, T. (2022). Forecasting migration and integration trends using digital demography – A case study of emigration flows from Croatia to Austria and Germany. Comparative Southeast European Studies, 70(1), 125–152. https://doi.org/10.1515/soeu-2021-0090

Kemp, S. (2023, February 14). Digital 2023: Sri Lanka. DataReportal – Global Digital Insights. https://datareportal.com/reports/digital-2023-sri-lanka

King, R., & Raghuram, P. (2013). International student migration: Mapping the field and new research agendas. Population, Space and Place, 19(2), 127–137. https://doi.org/10.1002/psp.1746

Lazer, D., & Radford, J. (2017). Data ex machina: Introduction to big data. Annual Review of Sociology, 43(1), 19–39. https://doi.org/10.1146/annurev-soc-060116-053457

MacroTrends. (2024). Sri Lanka Net Migration Rate 1950-2024. Retrieved October 26, 2024, from https://www.macrotrends.net/global-metrics/countries/LKA/sri-lanka/net-migration

Manovich, L. (2012). Trending: The promises and the challenges of big social data. In M. K. Gold (Ed.), Debates in the Digital Humanities (pp. 460–475). University of Minnesota Press. https://doi.org/10.5749/minnesota/9780816677948.003.0047

Marwick, A. E., & Boyd, D. (2011). I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New Media & Society, 13(1), 114–133. https://doi.org/10.1177/1461444810365313

Mazzarol, T., & Soutar, G. N. (2002). “Push-pull” factors influencing international student destination choice. International Journal of Educational Management, 16(2), 82–90. https://doi.org/10.1108/09513540210418403

Observatory on Borderless Higher Education. (2007). Higher education as a global commodity: The perils and promises for developing countries.

Organisation for Economic Co-operation and Development (OECD). (2022). International Migration Outlook 2022. OECD Publishing. https://doi.org/10.1787/30fe16d2-en

Palmer, J. R. B., Espenshade, T. J., Bartumeus, F., Chung, C. Y., Ozgencil, N. E., & Li, K. (2013). New approaches to human mobility: Using mobile phones for demographic research. Demography, 50(3), 1105–1128. https://doi.org/10.1007/s13524-012-0175-z

Rogers, A., & Castro, L. J. (1981). Model migration schedules (Research Report RR-81-30). International Institute for Applied Systems Analysis (IIASA). https://pure.iiasa.ac.at/id/eprint/1543/1/RR-81-030.pdf

Silber, H., Breuer, J., Beuthner, C., Gummer, T., Keusch, F., Siegers, P., & Weiß, B. (2022). Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour. Journal of the Royal Statistical Society, Series A (Statistics in Society), 185(S1), S28–S48. https://doi.org/10.1111/rssa.12790

Warnes, A. M. (1993). The development of retirement migration in Great Britain. Espace, populations, sociétés, 1993(3), 451–464. https://doi.org/10.3406/espos.1993.1608

Weber, T., & Van Mol, C. (2023a). The student migration transition: An empirical investigation into the nexus between development and international student migration. Comparative Migration Studies, 11(1), Article 3. https://doi.org/10.1186/s40878-023-00329-0

Weeraratne, B., Weerasekera, H., & Bandara, T. (2022). Understanding student migration from Sri Lanka (IPS Policy Brief). Institute of Policy Studies of Sri Lanka. https://www.ips.lk/understanding-student-migration-from-sri-lanka/

Weerasinghe, G., & Karunarathne, H. D. (2022, August). Factors affecting the migration intention for higher studies: A case study of management undergraduates in Sri Lanka [Paper presentation]. 8th International Conference of Management and Economics, University of Ruhuna, Sri Lanka.

Wladyka, D. (2017). Queries to Google Search as predictors of migration flows from Latin America to Spain. Journal of Population and Social Studies [JPSS], 25(4), 312–327. https://doi.org/10.25133/jpssv25n4.002

Zagheni, E., Weber, I., & Gummadi, K. (2017). Leveraging Facebook’s advertising platform to monitor stocks of migrants. Population and Development Review, 43(4), 721–734. https://doi.org/10.1111/padr.12102

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Published

14-10-2025

How to Cite

Ranasinghe, N. “Mapping Prospective International Student Migration Using Digital Traces (SRI LANKA, 2014-2024)”. International Journal of Management and Development Studies, vol. 14, no. 10, Oct. 2025, pp. 75-87, doi:10.53983/ijmds.v14n10.009.