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Teaching economics behind the global COVID-19 pandemic

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  • Zhang, Chengping
  • Ramse, Jonathan

Abstract

The global COVID-19 pandemic has upended our daily lives in unprecedented ways. Several extraordinary economic events have occurred and have brought some intriguing and important questions to everyone’s mind, creating an immersive teaching and learning environment. This paper shows how economic instructors may take advantage of this opportunity to educate their students with some key economic principles/theories using these COVID-19 related events. Integrating current events into economics instruction can stimulate students’ interests and inspire them to think about the economics behind each event. The relevance and relatedness of these events can also boost students’ motivation and engagement. This paper will foster reflection and discussion among economic instructors on how they may proactively connect what happens in the real world with what students learn in the classroom.

Suggested Citation

  • Zhang, Chengping & Ramse, Jonathan, 2021. "Teaching economics behind the global COVID-19 pandemic," International Review of Economics Education, Elsevier, vol. 36(C).
  • Handle: RePEc:eee:ireced:v:36:y:2021:i:c:s1477388020300335
    DOI: 10.1016/j.iree.2020.100206
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    References listed on IDEAS

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    1. James G. March & Lee S. Sproull & Michal Tamuz, 1991. "Learning from Samples of One or Fewer," Organization Science, INFORMS, vol. 2(1), pages 1-13, February.
    2. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    3. N. Gregory Mankiw, 2019. "Six guidelines for teaching intermediate macroeconomics," The Journal of Economic Education, Taylor & Francis Journals, vol. 50(3), pages 258-260, July.
    4. Stephanie Bell, 2000. "Do Taxes and Bonds Finance Government Spending?," Journal of Economic Issues, Taylor & Francis Journals, vol. 34(3), pages 603-620, September.
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    Cited by:

    1. Birdi, Alvin & Cook, Steve & Elliott, Caroline & Lait, Ashley & Mehari, Tesfa & Wood, Max, 2023. "A critical review of recent economics pedagogy literature, 2020–2021," International Review of Economics Education, Elsevier, vol. 43(C).

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    More about this item

    Keywords

    COVID-19 pandemic; Economics instruction; Immersive learning; Extraordinary events; Student engagement;
    All these keywords.

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • A21 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Pre-college
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate

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