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Exploring Factors Affecting Graduate Students’ Satisfaction toward E-Learning in the Era of the Covid-19 Crisis

Bibliographic Data

ID16945708
AuthorsLubna Ali Mohammed (0000-0003-4570-774X, Lincoln University College, corresponding author), Musheer Abdulwahid Al-Jaberi (0000-0001-6533-7868, Universiti Putra Malaysia, corresponding author), Asra Amidi (0000-0001-8173-2390, Lincoln University College), Rasheed Abdulsalam (0000-0002-0175-183X, Lincoln University College), Chung-Ying Lin (0000-0002-2129-4242, National Cheng Kung University), Rukman Awang Hamat (0000-0001-6288-3791, Universiti Putra Malaysia), Atiyeh M Abdallah (0000-0003-4812-956X, Qatar University, corresponding author)
Year2022
Volume12
Issue8
Pages1121-1142
Publication date2022-08-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEuropean Journal of Investigation in Health, Psychology and Education (JOURNAL)
Journal identifiersISSN: 2174-8144 • E-ISSN: 2254-9625
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ejihpe12080079
PMID36005228
OpenAlexW4291744067
LanguageEN
Citations received15
References cited57

Background: Shifting the educational system from a traditional to an online context during COVID-19 necessitated several considerations to assure students’ satisfaction with e-learning. Aim: This study aims to explore the factors influencing students’ satisfaction with e-learning during the COVID-19 crisis. In particular, it tests multiple mediations, student factors, and system quality between students’ satisfaction and each course evaluation and instructor’s performance. Methodology: In this cross-sectional study, 258 undergraduate and postgraduate students enrolled in online courses at multiple Malaysian universities were recruited using non-probabilistic purposive sampling. Data were collected using a questionnaire that assessed four factors that influenced students’ satisfaction with e-learning during the COVID-19 crisis (i.e., instructor performance, course evaluation, student factors, and system quality) and analyzed using the partial least squares route structural equation modelling (PLS-SEM). Results: The results indicated that the four factors were significantly associated with students’ satisfaction with e-learning during COVID-19. Student factors and system quality were the most factors predicting students’ satisfaction with e-learning. Findings indicate statistically significant relationships between the instructor’s performance, student factors, course evaluation, and system quality on students’ satisfaction. Furthermore, the results depict that both course evaluation and system quality serially mediate the relationship between instructors’ performance and students’ satisfaction. Conclusion: This study finds that improving and enhancing student factors and system quality is critical for students’ satisfaction with e-learning. Furthermore, e-learning platforms should contain new advances of computer-mediated technologies that enable collaboration, which is a critical factor in the success of e-learning systems

2019-20 coronavirus outbreak · E learning · Educational technology · Geography · Mathematics education · Medical education · Multimedia · Online learning · Computer Science · E-Learning and COVID-19 · Medicine · Online and Blended Learning · Psychology · Technology-Enhanced Education Studies · Virology

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Unique citing works15
Citations per year3,75
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 11
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