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Actual Use of Mobile Learning Technologies during Social Distancing Circumstances: Case Study of King Faisal University Students
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Actual Use of Mobile Learning Technologies during Social Distancing Circumstances: Case Study of King Faisal University Students
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Actual Use of Mobile Learning Technologies during Social Distancing Circumstances: Case Study of King Faisal University Students
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Actual Use of Mobile Learning Technologies during Social Distancing Circumstances: Case Study of King Faisal University Students
Actual Use of Mobile Learning Technologies during Social Distancing Circumstances: Case Study of King Faisal University Students
Journal Article

Actual Use of Mobile Learning Technologies during Social Distancing Circumstances: Case Study of King Faisal University Students

2022
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Overview
The most current highly infectious disease, which has become a global health challenge permeating entire sectors of society, is COVID-19. In the education sector, the transmission of COVID-19 has been curbed through the closure of institutions and the facilitation of online learning. The main objective of this study was to propose an integrated model of the unified theory of acceptance and use of technology combined with the DeLone and McLean model, to examine the influence of quality features, namely, performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), and social influence (SI), on the intentions and satisfaction of users toward mobile learning (m-learning) use in the context of Saudi learning institutions. The study obtained m-learning user data using an online questionnaire, after which the data were exposed to partial least squares structural equation modeling to test the proposed research model. The findings supported the influence of PE, EE, and FC on intention toward m-learning use but did not support the significant influence of SI. Moreover, system, intention, and user satisfaction were found to positively and significantly influence m-learning-system usage, with system, information, and service quality being top drivers of such user intention and satisfaction. The results reflect the required information concerning the strategies of higher institutions to enhance m-learning-system acceptance among students, with general implications for learning acceptance and usage.