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Revisiting the small-world property of co-enrollment networks: A network analysis of hybrid course delivery strategies

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  • Wu, Di
  • Hamilton, Hanna
  • Jagrowski, Liam
  • Nazzal, Dima
  • Steimle, Lauren N.

Abstract

Infectious disease outbreaks bring new challenges to campus operations at institutions of higher education (IHEs). At the beginning of the COVID-19 pandemic, as a precaution against COVID-19 transmission on their campuses, many IHEs shifted to entirely remote courses in the Spring 2020 semester. As these institutions prepared for the Fall 2020 semester, their administrations evaluated the extent to which remote courses should continue. While remote courses may reduce the number of students who interact on campus and thus mitigate the risk of disease spread, there may be academic and financial downsides.

Suggested Citation

  • Wu, Di & Hamilton, Hanna & Jagrowski, Liam & Nazzal, Dima & Steimle, Lauren N., 2024. "Revisiting the small-world property of co-enrollment networks: A network analysis of hybrid course delivery strategies," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124000302
    DOI: 10.1016/j.seps.2024.101831
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    References listed on IDEAS

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    1. Chirikov, Igor & Soria, Krista M & Horgos, Bonnie & Jones-White, Daniel, 2020. "Undergraduate and Graduate Students’ Mental Health During the COVID-19 Pandemic," University of California at Berkeley, Center for Studies in Higher Education qt80k5d5hw, Center for Studies in Higher Education, UC Berkeley.
    2. Theresa Kuchler & Dominic Russel & Johannes Stroebel, 2020. "The Geographic Spread of COVID-19 Correlates with the Structure of Social Networks as Measured by Facebook," NBER Working Papers 26990, National Bureau of Economic Research, Inc.
    3. Steimle, Lauren N. & Sun, Yuming & Johnson, Lauren & Besedeš, Tibor & Mokhtarian, Patricia & Nazzal, Dima, 2022. "Students’ preferences for returning to colleges and universities during the COVID-19 pandemic: A discrete choice experiment," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    4. Di Xu & Shanna S. Jaggars, 2014. "Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas," The Journal of Higher Education, Taylor & Francis Journals, vol. 85(5), pages 633-659, September.
    5. Marcel Salathé & James H Jones, 2010. "Dynamics and Control of Diseases in Networks with Community Structure," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-11, April.
    6. Amy B. Gore & Mary E. Kurz & Matthew J. Saltzman & Blake Splitter & William C. Bridges & Neil J. Calkin, 2022. "Clemson University’s Rotational Attendance Plan During COVID-19," Interfaces, INFORMS, vol. 52(6), pages 553-567, November.
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