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.
Original language | English |
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Title of host publication | Explore Business, Technology Opportunities and Challenges After the Covid-19 Pandemic |
Editors | Bahaaeddin Alareeni, Allam Hamdan |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 264-272 |
Number of pages | 9 |
ISBN (Print) | 9783031089534 |
DOIs | |
State | Published - 2023 |
Externally published | Yes |
Event | International Conference on Business and Technology , ICBT 2021 - Istanbul, Turkey Duration: 6 Nov 2021 → 7 Nov 2021 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 495 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Business and Technology , ICBT 2021 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 6/11/21 → 7/11/21 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Course content
- Instructor characteristics
- Palestine
- Students’ academic performance
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications