Post-pandemic Behavioral Trends of School Dropouts
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Abstract
The widespread of Covid-19 had caused a massive disruption towards education sector. The instant transition and challenges faced by students during the pandemic led to changes in their behaviour and an increment in drop out. This study aims to identify post-pandemic behavioural trends among secondary school students. A qualitative case study utilising interview involving counsellors, at-risk students from 5 schools and documents on dropout-related obtained from systematic literature review were employed. This study will assist school and educators in determining the crucial elements contributing to student dropout so that they can better serve at-risk students by recognising the behavioural trends.
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Copyright (c) 2023 Nurfarah Najwa Mohammad Faisal, Puteri Rohani Megat Abdul Rahim, Thuraiya Mohd, Nor Faizah Kaeni
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Allen, J., Rowan, L., & Singh, P. (2020). Teaching and teacher education in the time of COVID-19. Asia-Pacific Journal of Teacher Education, 48(3), 233-236.
Alt, D. (2017). Students’ social media engagement and fear of missing out (FoMO) in a diverse classroom. Journal of Computing in Higher Education, 29, 388-410.
Azevedo, J. P. (2020). Learning poverty: Measures and simulations. The World Bank.
Babalis, Th. (2011a). The Socialization of the Child in the Classroom. The Role of the Teacher (2nd ed.). Athens: Diadrassi.
Bae, S. M. (2020). Long-term effects of adverse childhood experiences, school disengagement, and reasons for leaving school on delinquency in adolescents who dropout. Frontiers in psychology, 2096.
Bloom, H. S., & Unterman, R. (2014). Can small high schools of choice improve educational prospects for disadvantaged students?.Journal of Policy Analysis and Management, 33(2), 290-319.
Chenge, R. P., Chenge, E., & Maunganidze, L. (2017). Family Factors that contribute to school dropout in Rushinga District in Zimbabwe. International Journal of Law, Humanities & Social Science, 1(4), 87-105.
Cresswell, J. W. (2013). Research Design (International Student Edition): Qualitative. Quantitative and Mixed Methods Approaches. 4th edition Sage, Thousand Oaks, CA.
Dalton, B., E. Gennie and S.J. Ingels (2009). Late High School Dropouts: Characteristics, Experiences, and Changes Across Cohorts (NCES 2009-307). National Center for Education Statistics, Institute of Education Sciences, US Department of Education. Washington, DC.
Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes, T. S., Johnson, D. W., & Beechum, N. O. (2012). Teaching Adolescents to Become Learners: The Role of Noncognitive Factors in Shaping School Performance--A Critical Literature Review. Consortium on Chicago School Research. 1313 East 60th Street, Chicago, IL 60637.
Gustafsson, M., & Deliwe, C. N. (2020). How is the COVID-19 pandemic affecting educational quality in South Africa. Evidence to date and future risks. Department of Economics, University of Stellenbosch.
Harding, J. (2018). Qualitative data analysis: From start to finish. Sage.
Kaffenberger, M. (2021). Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss. International Journal of Educational Development, 81, 102326.
Koslouski, J. B., Skubel, A., Zaff, J. F., & Porche, M. V. (2022). “My Story Started When I was Younger...”: A Qualitative Analysis of Youth’s Differential Journeys Away from School. Journal of Adolescent Research, 07435584221115893.
Lau, W. W. (2017). Effects of social media usage and social media multitasking on the academic performance of university students. Computers in human behavior, 68, 286-291.
Laub, J. H., & Sampson, R. J. (2003). Shared beginnings, divergent lives: Delinquent boys to age 70. Cambridge, MA: Harvard University Press.
Lawrence, K. C., & Adebowale, T. A. (2023). Adolescence dropout risk predictors: Family structure, mental health, and self‐esteem. Journal of Community Psychology, 51(1), 120-136.
Lochmiller, C. R. (2016). Examining administrators’ instructional feedback to high school math and science teachers. Educational Administration Quarterly, 52(1), 75-109.
Miller, V. (2021). 21st Century Education through the Lens of COVID-19.
Mughal, A. W. (2020). Secondary school students who drop out of school in rural Pakistan: The perspectives of fathers. Educational Research, 62(2), 199-215.
Pov, S., Kawai, N., & Murakami, R. (2022). Identifying causes of lower secondary school dropout in Cambodia: a two-level hierarchical linear model. International Journal of Inclusive Education, 26(8), 834-847.
Rumberger, R. W. (1995). Dropping out of middle school: A multilevel analysis of students and schools. American educational Research journal, 32(3), 583-625.
Rumberger, R. W. (2011). Dropping out: Why students drop out of high school and what can be done about it. Harvard University Press.
Rumberger, R. W., & Larson, K. A. (1998). Student mobility and the increased risk of high school dropout. American journal of Education, 107(1), 1-35.
Rumberger, R. W., & Lim, S. A. (2008). Why students drop out of school: A review of 25 years of research.
Sabates, R., Carter, E., & Stern, J. M. (2021). Using educational transitions to estimate learning loss due to COVID-19 school closures: The case of Complementary Basic Education in Ghana. International Journal of Educational Development, 82, 102377.
Stevens, G. (2020). Teaching in the Post COVID classroom: mindsets and strategies to cultivate connection, manage behavior and reduce overwhelm in classroom, distance and blended learning.