2021
DOI: 10.3390/data6050049
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Factors That Affect E-Learning Platforms after the Spread of COVID-19: Post Acceptance Study

Abstract: The fear of vaccines has led to population rejection due to various reasons. Students have had their own inquiries towards the effectiveness of the vaccination, which leads to vaccination hesitancy. Vaccination hesitancy can affect students’ perception, hence, acceptance of e-learning platforms. Therefore, this research attempts to explore the post-acceptance of e-learning platforms based on a conceptual model that has various variables. Each variable contributes differently to the post-acceptance of the e-lea… Show more

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Cited by 46 publications
(40 citation statements)
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References 103 publications
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“…This is consistent with the findings of other studies (e.g. Al-Maroof et al,2021;Cutri et al,2020;Rashid et al, 2021). Those author proved that the teachers in their studies agreed on the importance of using To verify the first hypothesis, which states " Men and women will show no differences in their responses towards the use of VCs.…”
Section: Resultssupporting
confidence: 94%
“…This is consistent with the findings of other studies (e.g. Al-Maroof et al,2021;Cutri et al,2020;Rashid et al, 2021). Those author proved that the teachers in their studies agreed on the importance of using To verify the first hypothesis, which states " Men and women will show no differences in their responses towards the use of VCs.…”
Section: Resultssupporting
confidence: 94%
“…However, young participants (20 to 30) indicate substantial correlation with studies and performance that potentially, represents students. This also algins with the research outcomes reported in [32] indicating the impact of effectiveness of vaccination, and pandemic on students' performance. Specifically, perception of vaccination in students has a positive impact on acceptance of e-learning platforms.…”
Section: Age Groupssupporting
confidence: 76%
“…Through Smart PLS, it was possible to use the SEM, and maximum likelihood estimation was present to enable the recognition of the interdependence of the structural model and several theoretical constructs [102][103][104][105][106]. Similarly, it was possible to assess the proposed hypotheses.…”
Section: Hypotheses Testing Using Pls-semmentioning
confidence: 99%