Elearning Induction Model for the Uptake of Online Courses: A Case of Kenyatta University

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dc.contributor.authorNjoroge, Rose
dc.contributor.authorNzuki, David
dc.date.accessioned2023-07-27T12:16:09Z
dc.date.available2023-07-27T12:16:09Z
dc.date.issued2017
dc.descriptionarticleen_US
dc.description.abstractThe eLearning induction model that is well informed by both the theory and practice is a sure way of being responsive to the dynamism of the educational technologies. Kenyatta University (KU) has embraced elearning as a means of teaching and learning in its various modes of study. The first year students, “freshers”, are subjected to elearning induction in preparation to enable them to adapt to a different way of teaching and learning from what they were used to in secondary school level. Given the complexity of elearning and the changing nature of technology, learners have continuously been faced with challenges of adapting to the changing technological needs of Learning Management Systems (LMS) used in the institutions of higher learning. In response to these concerns, Kenyatta University through its Directorate of elearning uses a Model which is depicted in this paper. This is geared towards ensuring a smooth uptake of elearning in the institution. The Model has led to the establishment of conducive eLearning environment which is characterized by well-coordinated training mechanisms, monitoring and evaluation approaches. The paper depicts how the Model was used to unearth digital literacy gaps, adequacy of elearning induction as well as demonstrate the relevance of elearning induction Model used by KU.en_US
dc.identifier.citationNjoroge, R., & Nzuki, D. (2017, May). Elearning induction model for the uptake of online courses: A case of Kenyatta University. In 2017 IST-Africa Week Conference (IST-Africa) (pp. 1-9). IEEE.en_US
dc.identifier.isbn978-1-905824-57-1
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/26439
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectelearningen_US
dc.subjectelearning induction modelen_US
dc.subjectelearning trainingen_US
dc.subjectdigital literacyen_US
dc.titleElearning Induction Model for the Uptake of Online Courses: A Case of Kenyatta Universityen_US
dc.typeArticleen_US
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