Learning and Happiness During Covid-19 School Closure in Urban Malaysia
Niaz, Absadullah, and Tham, Eric (2023) Learning and Happiness During Covid-19 School Closure in Urban Malaysia. International Journal of Educational Development, 101. 102822.
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Abstract
COVID-19 school closure has disrupted education systems globally raising concerns over learning time loss. At the same time, social isolation at home has seen a decline in happiness level among young learners. Understanding the link between cognitive effort and emotional wellbeing is important for post-pandemic learning recovery interventions particularly if there is a feedback loop from happiness to learning. In this context, we use primary survey data collected during the first school closure in urban Malaysia to study the complex association between learning loss and student happiness. Machine learning methods are used to accommodate the multi-dimensional and interaction effects between the covariates that influence this association. Empirically, we find that the most important covariates are student gender, social economic status (SES) proxied by the number of books ownership, time spent on play and religious activity. Based on the results, we develop a conceptual framework of learning continuity by formalizing the importance of investment in emotional wellbeing.
Item ID: | 79088 |
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Item Type: | Article (Research - C1) |
ISSN: | 1873-4871 |
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Copyright Information: | © 2023 Published by Elsevier. |
Date Deposited: | 16 Jun 2023 02:05 |
FoR Codes: | 38 ECONOMICS > 3801 Applied economics > 380104 Economics of education @ 35% 39 EDUCATION > 3902 Education policy, sociology and philosophy > 390201 Education policy @ 30% 52 PSYCHOLOGY > 5201 Applied and developmental psychology > 520102 Educational psychology @ 35% |
SEO Codes: | 16 EDUCATION AND TRAINING > 1602 Schools and learning environments > 160202 Gender aspects in education @ 33% 16 EDUCATION AND TRAINING > 1601 Learner and learning > 160105 Secondary education @ 33% 20 HEALTH > 2004 Public health (excl. specific population health) > 200409 Mental health @ 34% |
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