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Students’ Acceptance of Distance Learning as a Result of COVID-19 Impact on Higher Education in Jordan
Author(s) -
Yasmin Mohamad Hamdi Sakka
Publication year - 2022
Publication title -
education research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.29
H-Index - 5
eISSN - 2090-4002
pISSN - 2090-4010
DOI - 10.1155/2022/7697947
Subject(s) - robustness (evolution) , covid-19 , distance education , pandemic , path analysis (statistics) , conceptual framework , exploratory research , higher education , psychology , computer science , mathematics education , mathematics , sociology , statistics , economics , economic growth , social science , medicine , disease , pathology , infectious disease (medical specialty) , gene , biochemistry , chemistry
This study aimed to investigate determinants for student’s acceptance of distance learning in Jordan at the time of COVID-19. This paper is dedicated to the higher education institutions shifting towards distance learning processes due to the global pandemic situation caused by COVID-19 in 2020. A conceptual framework was developed using a validated conceptual framework (UTAUT) that has proved its robustness in prior studies. The study made amendments for this framework as it excluded the actual use variable and was only concerned with the intention determinants, as online distance learning was imposed on students in higher education in Jordan, and there were no other available alternatives; therefore, the study investigates the drivers for intentions. This study also attempted to extend the theory, which does not underestimate the robustness and validity of the proposed framework. It was seen vital to cope with the consequences of the COVID-19 pandemic, which has become a strong influencer when considering the subject of this study. Two additional factors were suggested by the study, namely: perceived value and expected cost. The quantitative deductive exploratory methods, structural equation modelling, smart partial least squares (v.3.3), and path analysis was applied, which yielded interesting results.

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