IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i10p5541-d555512.html
   My bibliography  Save this article

Effects of Learning Attitudes and COVID-19 Risk Perception on Poor Academic Performance among Middle School Students

Author

Listed:
  • Jaewon Lee

    (Department of SocialWelfare, Inha University, Incheon 22212, Korea)

  • Hyejung Lim

    (School of Education, Korea University, Seoul 02841, Korea)

  • Jennifer Allen

    (School of Social Work, Michigan State University, East Lansing, MI 48823, USA)

  • Gyuhyun Choi

    (Integrative Arts Therapy, Dongduk Women’s University, Seoul 02748, Korea)

Abstract

The purpose of this study is to examine the effects of middle school students’ learning attitudes and risk perception toward COVID-19 on their poor academic performance since the COVID-19 pandemic began. This study limited the sample to middle school students who responded that their academic performance was an A or B grade during the last academic year in 2019. For this study, 268 respondents were selected and logistic regression was employed. Self-motivated studying time and positive attitudes toward online learning predicted consistent academic performance since the COVID-19 pandemic began. Middle school students’ preference toward an in-person classroom format was related to poor academic performance since the COVID-19 pandemic began. A risk perception toward COVID-19 was related to poor academic performance since the COVID-19 pandemic began. It is imperative to provide educational programs which help students develop self-motivated studying habits to maintain their academic performance during COVID-19. Policymakers in schools should consider providing in-person options for students who are more academically successful in such an environment.

Suggested Citation

  • Jaewon Lee & Hyejung Lim & Jennifer Allen & Gyuhyun Choi, 2021. "Effects of Learning Attitudes and COVID-19 Risk Perception on Poor Academic Performance among Middle School Students," Sustainability, MDPI, vol. 13(10), pages 1-10, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5541-:d:555512
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/10/5541/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/10/5541/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engzell, Per & Frey, Arun & Verhagen, Mark D., 2020. "Learning Inequality During the Covid-19 Pandemic," SocArXiv ve4z7, Center for Open Science.
    2. Daniel J McGrail & Jianli Dai & Kathleen M McAndrews & Raghu Kalluri, 2020. "Enacting national social distancing policies corresponds with dramatic reduction in COVID19 infection rates," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-9, July.
    3. Arie Kapteyn & Peter Kooreman & Rob Willemse, 1988. "Some Methodological Issues in the Implementation of Subjective Poverty Definitions," Journal of Human Resources, University of Wisconsin Press, vol. 23(2), pages 222-242.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rosnaini Sudi & Wai Leng Chang & Nur Hidayah Arshad & Syasya Nabilah Zainal Abidin & Ulyssies Suderman & Luke Sy-Cherng Woon, 2022. "Perception of Current Educational Environment, Clinical Competency, and Depression among Malaysian Medical Students in Clinical Clerkship: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(23), pages 1-15, December.
    2. Carolina Gonzálvez & Mariola Giménez-Miralles & María Vicent & Ricardo Sanmartín & María José Quiles & José Manuel García-Fernández, 2021. "School Refusal Behaviour Profiles and Academic Self-Attributions in Language and Literature," Sustainability, MDPI, vol. 13(13), pages 1-12, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomáš Želinský & Martina Mysíková & Thesia I. Garner, 2022. "Trends in Subjective Income Poverty Rates in the European Union," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2493-2516, October.
    2. repec:tiu:tiutis:bdbe10dd-649c-4521-ab28-7aa051a5bf82 is not listed on IDEAS
    3. Ravallion, Martin, 1994. "Measuring Social Welfare with and without Poverty Lines," American Economic Review, American Economic Association, vol. 84(2), pages 359-364, May.
    4. Björn Gustafsson & Li Shi & Hiroshi Sato, 2004. "Can a subjective poverty line be applied to China? Assessing poverty among urban residents in 1999," Journal of International Development, John Wiley & Sons, Ltd., vol. 16(8), pages 1089-1107.
    5. Martin Ravallion & Michael Lokshin, 2001. "Identifying Welfare Effects from Subjective Questions," Economica, London School of Economics and Political Science, vol. 68(271), pages 335-357, August.
    6. Das, J.W.M. & Dominitz, J. & van Soest, A.H.O., 1997. "Comparing Predictions and Outcomes : Theory and Application to Income Changes," Discussion Paper 1997-45, Tilburg University, Center for Economic Research.
    7. Michael Lokshin & Nithin Umapathi & Stefano Paternostro, 2006. "Robustness of subjective welfare analysis in a poor developing country: Madagascar 2001," Journal of Development Studies, Taylor & Francis Journals, vol. 42(4), pages 559-591.
    8. Stefanie Stantcheva, 2022. "Inequalities in the times of a pandemic," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 5-41.
    9. Agostinelli, Francesco & Avitabile, Ciro & Bobba, Matteo, 2021. "Enhancing Human Capital in Children: A Case Study on Scaling," TSE Working Papers 21-1196, Toulouse School of Economics (TSE), revised Oct 2023.
    10. Brun, Martín & Colacce, Maira, 2019. "Medición de la pobreza monetaria en el Uruguay: conceptos, metodologías, evolución y alternativas," Estudios y Perspectivas – Oficina de la CEPAL en Montevideo 44415, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Discussion Paper 2002-87, Tilburg University, Center for Economic Research.
    12. Ravallion, Martin & Lokshin, Michael, 2003. "On the utility consistency of poverty lines," Policy Research Working Paper Series 3157, The World Bank.
    13. Zhou Xun & Michel Lubrano, 2018. "A Bayesian Measure of Poverty in the Developing World," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 649-678, September.
    14. Shabana Mitra, 2016. "Synergies Among Monetary, Multidimensional and Subjective Poverty: Evidence from Nepal," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 103-125, January.
    15. Gustafsson, Björn Anders & Yue, Ximing, 2006. "Rural People’s Perception of Poverty in China," IZA Discussion Papers 2486, Institute of Labor Economics (IZA).
    16. Kapteyn, Arie, 1994. "The Measurement of Household Cost Functions: Revealed Preference versus Subjective Measures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 7(4), pages 333-350, November.
    17. Carlana, Michela & La Ferrara, Eliana, 2021. "Apart but Connected: Online Tutoring and Student Outcomes during the COVID-19 Pandemic," CEPR Discussion Papers 15761, C.E.P.R. Discussion Papers.
    18. Alban Conto, Carolina & Akseer, Spogmai & Dreesen, Thomas & Kamei, Akito & Mizunoya, Suguru & Rigole, Annika, 2021. "Potential effects of COVID-19 school closures on foundational skills and Country responses for mitigating learning loss," International Journal of Educational Development, Elsevier, vol. 87(C).
    19. Deb, Partha & Gregory, Christian A., 2018. "Heterogeneous impacts of the Supplemental Nutrition Assistance Program on food insecurity," Economics Letters, Elsevier, vol. 173(C), pages 55-60.
    20. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina, 2021. "The COVID-19 pandemic: A threat to higher education?," Discussion Papers 117, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    21. Fang, Fanshu & Ma, Jing & Li, Yanli, 2023. "The coevolution of the spread of a disease and competing opinions in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5541-:d:555512. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.