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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 5, 2021.
Abstract: Because of Covid-19, many countries shutdown schools in order to prevent spreading the virus in their communities. Therefore, schools have opted to use online learning technologies that support distance learning for students. As consequences, Ministry of Higher Education and Scientific Research encourages higher education institutes to adopt blended learning in their programs. However, different students react in different ways to online learning. Some students were able to make productive use of online learning strategies more than others. A conceptual model based on 15 variables was constructed based on UTAUT2, TAM, and other models to investigate and to study the factors that affect students’ acceptance of online learning. 29 hypotheses were investigated to study the relationships among the variables that affect online learning acceptance and online learning community building in Al-Ahliyya Amman University. The collected responses were analyzed using a structural equation modeling (SEM) approach. SPSS and AMOS were used to analyze the data.
Qasem Kharma, Kholoud Nairoukh, AbdelRahman Hussein, Mosleh Abualhaj and Qusai Shambour, “Online Learning Acceptance Model during Covid-19: An Integrated Conceptual Model” International Journal of Advanced Computer Science and Applications(IJACSA), 12(5), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120561
@article{Kharma2021,
title = {Online Learning Acceptance Model during Covid-19: An Integrated Conceptual Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120561},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120561},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {5},
author = {Qasem Kharma and Kholoud Nairoukh and AbdelRahman Hussein and Mosleh Abualhaj and Qusai Shambour}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.