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Educational inequity in prolonged online learning among young learners: A two-year longitudinal study of Chinese cross-border education

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Abstract

The COVID-19 pandemic forced Chinese cross-border students in Hong Kong to participate in online homeschooling for three years while local students attended face-to-face schooling when the situation released. Previous studies have explored the learning challenges or educational inequity among students in online learning during the pandemic. Limited studies explored the educational inequality between local students and cross-border students. To fill this gap, this study explored the extent of educational inequity between Hong Kong local students and Chinese cross-border students. It further investigated the elements that lead to educational inequity between these two groups of students and the long-term consequences of prolonged purely online learning for Chinese cross-border students. This study compared self-regulated learning, perceived academic achievement, and learning challenges between 35 cross-border students and 32 local students in Hong Kong primary schools. According to the questionnaire and open-ended opinion surveys, the findings showed significant evidence of educational inequity between these two groups of students. Through six teachers’ semi-structured interviews, the study analyzed students’ learning experiences and synthesized the elements contributing to the issue of educational inequity. The study attributed this inequity to infrastructure elements and stakeholder-related elements. Prolonged purely online learning has resulted in negative and positive effects. This study offers practical implications for the government to implement feasible policies to reduce educational inequity in cross-border education and for stakeholders to conduct effective measures to support young learners in the post-COVID world. Lastly, this study discusses the limitations and recommendations for future research.

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Data availability

The data are not publicly available due to privacy or ethical restrictions. The data that support the findings of this study are available on request from the corresponding author.

References

  • Adedoyin, O. B., & Soykan, E. (2023). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863–875.

    Article  Google Scholar 

  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.

    Article  Google Scholar 

  • Braun, V., & Clarke, V. (2012). Thematic analysis. APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. Washington, DC, US: American Psychological Association, pp. 57–71. https://doi.org/10.1037/13620-004

  • Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24–32.

    Article  Google Scholar 

  • Carrillo, C., & Flores, M. A. (2020). COVID-19 and teacher education: A literature review of online teaching and learning practices. European Journal of Teacher Education, 43(4), 466–487.

    Article  Google Scholar 

  • Carter, R. A., Jr., Rice, M., Yang, S., & Jackson, H. A. (2020). Self-regulated learning in online learning environments: Strategies for remote learning. Information and Learning Sciences, 121(5), 321–329.

    Article  Google Scholar 

  • Chaku, N., Kelly, D. P., & Beltz, A. M. (2021). Individualized learning potential in stressful times: How to leverage intensive longitudinal data to inform online learning. Computers in Human Behavior, 121, 106772.

    Article  Google Scholar 

  • Chan, P. W. K. (2018). Cross-border education for pupils of kindergartens and schools: The case in Hong Kong. International Education Journal: Comparative Perspectives, 17(3), 93–107.

    Google Scholar 

  • Chan, A. K. W., Chiu, M. M., Yang, S., & Ngan, L. L. S. (2020). Mobility, belongingness and schooling experiences of Chinese cross-border students. Children and Youth Services Review, 111, 104870.

    Article  Google Scholar 

  • Cho, J. Y., & Lee, E. H. (2014). Reducing confusion about grounded theory and qualitative content analysis: Similarities and differences. Qualitative Report, 19(32). http://www.nova.edu/ssss/QR/QR19/cho64.pdf

  • Cobo-Rendón, R., Bruna Jofre, C., Lobos, K., Cisternas San Martin, N., & Guzman, E. (2022). Return to university classrooms with Blended Learning: a possible post-pandemic COVID-19 scenario. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.957175

  • Cohen, L., Manion, L., & Morrison, K. (2002). Research methods in education. Routledge.

    Book  Google Scholar 

  • Creswell, J. W. (2012). Educational research: Planning. Conducting and Evaluating, 260, 375–382.

    Google Scholar 

  • Cresswell, T. (2013). Geographic thought: a critical introduction (Vol. 8). Wiley.

    Google Scholar 

  • Er, E., Kopcha, T. J., Orey, M., & Dustman, W. (2015). Exploring college students’ online help-seeking behavior in a flipped classroom with a web-based help-seeking tool. Australasian Journal of Educational Technology, 31(5). https://doi.org/10.14742/ajet.2527

  • Fang, X., Ng, D. T. K., Leung, J. K. L., & Chu, S. K. W. (2023). A systematic review of artificial intelligence technologies used for story writing. Education and Information Technologies, pp. 1–37. https://doi.org/10.1007/s10639-023-11741-5

  • Fung, J. J., Yuen, M., & Yuen, A. H. (2018). Validity evidence for a Chinese version of the online self-regulated learning questionnaire with average students and mathematically talented students. Measurement and Evaluation in Counseling and Development, 51(2), 111–124.

    Article  Google Scholar 

  • Haelermans, C., Korthals, R., Jacobs, M., de Leeuw, S., Vermeulen, S., van Vugt, L., ... & de Wolf, I. (2022). Sharp increase in inequality in education in times of the COVID-19-pandemic. Plos One, 17(2), e0261114.

  • Hong, J. C., Lee, Y. F., & Ye, J. H. (2021). Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality and Individual Differences, 174, 1–8.

    Article  Google Scholar 

  • Hong Kong Education Bureau (Dec 2022). Retrieved from: https://www.info.gov.hk/gia/general/202212/30/P2022123000612.htm?fontSize=1

  • Khlaif, Z. N., Salha, S., & Kouraichi, B. (2021). Emergency remote learning during COVID-19 crisis: Students’ engagement. Education and Information Technologies, 26(6), 7033–7055.

    Article  Google Scholar 

  • Kosmützky, A., & Putty, R. (2016). Transcending borders and traversing boundaries: A systematic review of the literature on transnational, offshore, cross-border, and borderless higher education. Journal of Studies in International Education, 20(1), 8–33.

    Article  Google Scholar 

  • Legislative Council (2021).Education Promoting Home-school Co-operation and Parent Education. Retrieved from https://www.legco.gov.hk/yr20-21/english/panels/ed/papers/ed20210702cb4-1175-3-e.pdf

  • Leung, M. W., & Waters, J. L. (2022). Bridging home and school in cross-border education: The role of intermediary spaces in the in/exclusion of Mainland Chinese students and their families in Hong Kong. Urban Studies, 59(16), 3271–3291.

    Article  Google Scholar 

  • Li, J., Ye, H., Tang, Y., Zhou, Z., & Hu, X. (2018). What are the effects of self-regulation phases and strategies for Chinese students? A meta-analysis of two decades research of the association between self-regulation and academic performance. Frontiers in Psychology, 9, 2434.

    Article  Google Scholar 

  • Lythreatis, S., Singh, S. K., & El-Kassar, A. N. (2022). The digital divide: A review and future research agenda. Technological Forecasting and Social Change, 175, 121359.

    Article  Google Scholar 

  • Mathrani, A., Sarvesh, T., & Umer, R. (2022). Digital divide framework: Online learning in developing countries during the COVID-19 lockdown. Globalisation, Societies and Education, 20(5), 625–640.

    Article  Google Scholar 

  • Murat, M., & Bonacini, L. (2020). Coronavirus pandemic, remote learning and education inequalities (No. 679). GLO Discussion Paper. https://www.econstor.eu/handle/10419/224765

  • Ng, D. T. K., & Fang, X. (2023). Inequity issues in online learning of Chinese cross-border students under the COVID-19 pandemic: A longitudinal study at a macro-level. Educational Technology & Society, 26(4). https://doi.org/10.30191/ETS.202310_26(4).0009

  • Ng, T. K., Chu, S., Li, X., Reynolds, R., & Chan, M. (2020). Business (teaching) as usual amid the COVID-19 pandemic: A Case study of online teaching practice in Hong Kong. Journal of Information Technology Education: Research, 19(1), 775–802.

    Google Scholar 

  • Ochieng, P. A. (2009). An analysis of the strengths and limitation of qualitative and quantitative research paradigms. Problems of Education in the 21st Century, 13, 13. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://scientiasocialis.lt/pec/files/pdf/Atieno_Vol.13.pdf

  • OECD (2020). Education and COVID-19: Focusing on the long-term impact of school closures. Retrieved from https://www.oecd.org/coronavirus/policy-responses/education-and-covid-19-focusing-on-the-long-term-impact-of-school-closures-2cea926e/

  • Orraca, P., Rocha, D., & Vargas, E. (2017). Cross-border school enrolment: Associated factors in the US–Mexico borderlands. The Social Science Journal, 54(4), 389–402.

    Article  Google Scholar 

  • Porter, A. N., & Peters-Burton, E. E. (2021). Investigating teacher development of self-regulated learning skills in secondary science students. Teaching and Teacher Education, 105, 103403.

    Article  Google Scholar 

  • Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers & Education, 144, 103701.

    Article  Google Scholar 

  • Rasmitadila, R., Aliyyah, R. R., Rachmadtullah, R., Samsudin, A., Syaodih, E., Nurtanto, M., & Tambunan, A. R. S. (2020). The perceptions of primary school teachers of online learning during the COVID-19 pandemic period. Journal of Ethnic and Cultural Studies, 7(2), 90–109.

    Article  Google Scholar 

  • Singh, J., Steele, K., & Singh, L. (2021). Combining the best of online and face-to-face learning: Hybrid and blended learning approach for COVID-19, post vaccine, & post-pandemic world. Journal of Educational Technology Systems, 50(2), 140–171.

    Article  Google Scholar 

  • Subur, S. (2021). Online learning on the COVID-19 pandemic to create educational access inequality. Journal of Social Studies Education Research, 12(4), 170–196.

    Google Scholar 

  • Susilowati, E., & Azzasyofia, M. (2020). The parents stress level in facing children study from home in the early of covid-19 pandemic in Indonesia. International Journal of Science and Society, 2(3), 1–12.

    Article  Google Scholar 

  • Tamah, S. M., Triwidayati, K. R., & Utami, T. S. D. (2020). Secondary school language teachers’ online learning engagement during the COVID-19 pandemic in Indonesia. Journal of Information Technology Education: Research, 19, 803–832.

    Google Scholar 

  • Tao, D., Li, W., Qin, M., & Cheng, M. (2022). Understanding students’ acceptance and usage behaviors of online learning in mandatory contexts: A three-wave longitudinal study during the COVID-19 pandemic. Sustainability, 14(13), 7830.

    Article  Google Scholar 

  • Vincent-Lancrin, S. (2007). Developing capacity through cross-border tertiary education. Retrieved from https://www.oecd-ilibrary.org/education/cross-border-tertiary-education/developing-capacity-through-cross-border-tertiary-education_9789264038493-4-en

  • Wang, J., Yang, Y., Li, H., & van Aalst, J. (2021). Continuing to teach in a time of crisis: The Chinese rural educational system’s response and student satisfaction and social and cognitive presence. British Journal of Educational Technology, 52(4), 1494–1512.

    Article  Google Scholar 

  • Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G. J., & Paas, F. (2019). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human-Computer Interaction, 35(4–5), 356–373.

    Article  Google Scholar 

  • Yan, L., Whitelock-Wainwright, A., Guan, Q., Wen, G., Gašević, D., & Chen, G. (2021). Students’ experience of online learning during the COVID-19 pandemic: A province-wide survey study. British Journal of Educational Technology, 52(5), 2038–2057.

    Article  Google Scholar 

  • Yuen, C. Y., & Cheung, A. C. (2014). School engagement and parental involvement: The case of cross-border students in Singapore. The Australian Educational Researcher, 41, 89–107.

    Article  Google Scholar 

  • Ziguras, C., & McBurnie, G. (2014). Governing cross-border higher education. Routledge.

    Book  Google Scholar 

  • Zimmerman, B. J. (1990a). Self-regulating academic learning and achievement: The emergence of a social cognitive perspective. Educational Psychology Review, 2, 173–201.

    Article  Google Scholar 

  • Zimmerman, B. J. (1990b). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25(1), 3–17.

    Article  Google Scholar 

  • Zimmerman, B. J. (1998). Academic studing and the development of personal skill: A self-regulatory perspective. Educational Psychologist, 33(2–3), 73–86.

    Article  Google Scholar 

  • Zimmerman, B. J. (2000). Self-efficacy: An Essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016

    Article  Google Scholar 

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Correspondence to Xiaoxuan Fang.

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Fang, X., Ng, D.T.K. Educational inequity in prolonged online learning among young learners: A two-year longitudinal study of Chinese cross-border education. Educ Inf Technol (2023). https://doi.org/10.1007/s10639-023-12331-1

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