Factors that affect e-learning platforms after the spread of COVID-19 : post acceptance study

Al-Maroof, RS; Alhumaid, K; Akour, I; Salloum, S

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-learning platform. The research investigates the moderating role of vaccination fear on the post-acceptance of e-learning platforms among students. Thus, the study aims at exploring students’ perceptions about their post-acceptance of e-learning platforms where vaccination fear functions as a moderator. The current study depends on an online questionnaire that is composed of 29 items. The total number of respondents is 630. The collected data was implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. Fear of vaccination has a significant impact on the acceptance of e-learning platforms, and it is a strong mediator in the conceptual model. The findings indicate a positive effect of the fear of vaccination as a mediator in the variables: perceived ease of use and usefulness, perceived daily routine, perceived critical mass and perceived self-efficiency. The implication gives a deep insight to take effective steps in reducing the level of fear of vaccination, supporting the vaccination confidence among educators, teachers and students who will, in turn, affect the society as a whole.

Citation

Al-Maroof, R., Alhumaid, K., Akour, I., & Salloum, S. (2021). Factors that affect e-learning platforms after the spread of COVID-19 : post acceptance study. Data, 6(5), e49. https://doi.org/10.3390/data6050049

• Journal Article Type: Article
• Acceptance Date: May 10, 2021
• Publication Date: May 12, 2021
• Deposit Date: May 17, 2021
• Publicly Available Date: May 17, 2021
• Journal: Data
• Print ISSN: 2306-5729
• Publisher: MDPI
• Volume: 6
• Issue: 5
• Pages: e49
• DOI: https://doi.org/10.3390/data6050049
• Publisher URL: https://doi.org/10.3390/data6050049
• Related Public URLs: https://www.mdpi.com/journal/data
• Additional Information: Additional Information : ** From MDPI via Jisc Publications Router ** Licence for this article: https://creativecommons.org/licenses/by/4.0/ **Journal IDs: eissn 2306-5729 **History: published 12-05-2021; accepted 10-05-2021