Abstract
E-readiness is considered as one of the critical characteristics for accomplishing successful implementation of e-learning in higher education. Without e-learning readiness, the benefits of e-learning such as time saving, flexible education delivery and training from anywhere at any time will not be reaped. The probability of failure in the adoption of the e-learning is very high. Therefore, this study researched on models and/or frameworks in literature to measure e-learning readiness. The models were selected using the inclusion and exclusion criteria. Keywords were used to search for relevant articles and only those published in or after the year 2000 were used in this study. Reputable academic research databases were used to retrieve relevant journal and conference articles. The results show that there are core factors that are common in almost all the reviewed models. The study found that technology, people, content, resources and, social and cultural are the factors that are used in most models/frameworks reviewed. This re-search helps researchers to find appropriate models or frameworks to use in determining the e-learning readiness in educational environment.
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Kolo, I., Zuva, T. (2020). E- Learning Readiness Frameworks and Models. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-63322-6_16
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DOI: https://doi.org/10.1007/978-3-030-63322-6_16
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