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Impact Of Date Of Student Entry On Online Higher Education

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  • Mary Beth McCabe

Abstract

Online education has never been more relevant than after the pandemic in 2020. Many classrooms moved to the online format for the first time. This study looked at how date of student entry and activities in online learning affect final grades and student-reported learning in higher education. The author considered undergraduate and graduate students at an online university to learn whether early entry into a class could predict final grades of students. There was significant correlation between date of student entry and grade, especially for the undergraduate students, with weaker predictability for graduate students. The number of keyboard/course clicks within the online class by a student was found to be a predictor for students’ performing well and for those students who were struggling with the content.

Suggested Citation

  • Mary Beth McCabe, 2021. "Impact Of Date Of Student Entry On Online Higher Education," Business Education and Accreditation, The Institute for Business and Finance Research, vol. 13(1), pages 21-32.
    • Handle: RePEc:ibf:beaccr:v:13:y:2021:i:1:p:21-32
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    References listed on IDEAS

    as
    1. Eric P. Bettinger & Lindsay Fox & Susanna Loeb & Eric S. Taylor, 2017. "Virtual Classrooms: How Online College Courses Affect Student Success," American Economic Review, American Economic Association, vol. 107(9), pages 2855-2875, September.
    2. Roehrich, Gilles, 2004. "Consumer innovativeness: Concepts and measurements," Journal of Business Research, Elsevier, vol. 57(6), pages 671-677, June.
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    More about this item

    Keywords

    Online Learning; Education; Date of Entry; Course Clicks; Perception of Learning;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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