Smart Mobile Learning Success Model for Higher Educational Institutions in the Context of the COVID-19 Pandemic

Smart mobile learning (M-learning) applications have shown several new benefits for higher educational institutions during the COVID-19 pandemic, during which such applications were used to support distance learning. Therefore, this study aims to examine the most important drivers influencing the ad...

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Bibliographic Details
Published inElectronics (Basel) Vol. 11; no. 8; p. 1278
Main Authors Almaiah, Mohammed Amin, Ayouni, Sarra, Hajjej, Fahima, Lutfi, Abdalwali, Almomani, Omar, Awad, Ali Bani
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2022
Subjects
Colleges & universities
COVID-19
Distance learning
Multivariate statistical analysis
Online instruction
Pandemics
Students
Teaching
Technology adoption
Technology utilization
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Summary:Smart mobile learning (M-learning) applications have shown several new benefits for higher educational institutions during the COVID-19 pandemic, during which such applications were used to support distance learning. Therefore, this study aims to examine the most important drivers influencing the adoption of M-learning by using the technology acceptance model (TAM). The structural equation modelling (SEM) method was used to test the hypotheses in the proposed model. Data were collected via online questionnaires from 520 undergraduate and postgraduate students at four universities in Saudi Arabia. Partial least squares (PLS)–SEM was used to analyse the data. The findings indicated that M-learning acceptance is influenced by three main factors, namely, awareness, IT infrastructure (ITI), and top management support. This research contributes to the body of knowledge on M-learning acceptance practices. Likewise, it may help to facilitate and promote the acceptance of M-learning among students in Saudi universities.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics11081278