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Effects of Online Course Content, and Instructor Characteristics on UCAS Students’ Academic Performance During the COVID-19 Pandemic

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Explore Business, Technology Opportunities and Challenges ‎After the Covid-19 Pandemic (ICBT 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 495))

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Abstract

The COVID-19 pandemic has impacted the entire education system, especially universities, ushering in a new age of education termed as “e-learning.“. E-learning is described as learning aided by electronic technology, such as virtual classes and portals that enable learners to utilize lectures outside of the classroom. The purpose of this study was to see how two independent factors, course content and instructor characteristics, influenced the University College of Applied Sciences “UCAS” students’ academic performance during the COVID-19 pandemic. To acquire primary data, an empirical study was conducted using 412 questionnaires from UCAS students. According to the study's findings, there is a link between independent variables (course content and instructor characteristics) and the dependent variable (UCAS students’ academic performance) for a number of reasons that were investigated throughout the research.

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Authors and Affiliations

  1. University College of Applied Sciences, Gaza, Palestine

    Shadi Abudalfa & Mohammed Salem

Authors
  1. Shadi Abudalfa
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  2. Mohammed Salem
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Corresponding author

Correspondence to Mohammed Salem .

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Editors and Affiliations

  1. Northern Cyprus Campus, R-141 , KKTC, Middle East Technical University, Kalkanli, Güzelyurt, Turkey

    Bahaaeddin Alareeni

  2. Col of Business & Finance, Building 41, Ahlia University, Manama, Bahrain

    Allam Hamdan

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Abudalfa, S., Salem, M. (2023). Effects of Online Course Content, and Instructor Characteristics on UCAS Students’ Academic Performance During the COVID-19 Pandemic. In: Alareeni, B., Hamdan, A. (eds) Explore Business, Technology Opportunities and Challenges ‎After the Covid-19 Pandemic. ICBT 2022. Lecture Notes in Networks and Systems, vol 495. Springer, Cham. https://doi.org/10.1007/978-3-031-08954-1_24

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  • DOI: https://doi.org/10.1007/978-3-031-08954-1_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08953-4

  • Online ISBN: 978-3-031-08954-1

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