Toward E-learning Readiness and Maturity: The Concepts, Assessment Models, and Affecting Dimensions and Factors

Message:
Article Type:
Review Article (دارای رتبه معتبر)
Abstract:
Background

The sudden adoption of e-learning as a quick alternative educational system to rescue education due to the widespread chaos to which educational institutions have been exposed due to the Covid-19 pandemic since 2020, while paying no attention to the readiness of educational institutions, learners, and instructors for these systems, led to the progress of the educational process; this happened while the two most important components of the educational process, namely the student and the instructor, suffered greatl. This study aimed to review e-learning readiness and maturity assessment models and identify the factors that affect e-learning readiness in higher education institutions.

Methods

This is a literature review of research findings empirically related to e-learning readiness and maturity; the papers related to e-learning readiness and maturity assessment were collected through various databases such as Springer Link, Google Scholar, Scopus, IEEE, and Elsevier, which were within the research scope of this study, from 1997 to 2023.

Results

Models of e-learning readiness and maturity assessment as well as the factors and dimensions are varied according to the educational environment of the country or institution; in addition to the purpose and use, many factors are affecting e-learning readiness level in educational institutions including the technological, organizational, psychological, and financial dimensions in that the factors affecting readiness still significantly affect the level of maturity, especially in developing countries.

Conclusion

The process of assessing e-learning readiness and maturity is an important and essential issue for many stakeholders and an essential step for improving and managing the educational process today and in the future

Language:
English
Published:
Interdisciplinary Journal of Virtual Learning in Medical Sciences, Volume:13 Issue: 4, Dec 2022
Pages:
225 to 246
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