Architecture design model for E-Iearning

dc.contributor.authorBarasa, Situma D.
dc.date.accessioned2013-12-02T09:12:17Z
dc.date.available2013-12-02T09:12:17Z
dc.date.issued2011-06
dc.descriptionSubmitted in partial fulfillment of the requirements for the Degree of Master of Science in Information Technologyen_US
dc.description.abstractEducation and Training is recognized as fundamental to the success of Kenya vision 2030. The use of Information and Communication Technology (lCT) is assumed to transform learning in learning institutions. E-learning being one of the modes of content delivery in learning has gained acceptance in educational institutions in Kenya. However key challenges associated with e-learning in education include quality, equity, relevance and standards thereby presenting various challenges in the Kenya educational institutions with regard to its implementation. This study tried to undertake a needs assessment to establish the learning resource requirements, teaching and learning activities and assessment methods suitable for e learning. The study used online users specifically in educational institutions within Nairobi County as the target population. The study employed a survey research design. Findings suggested that there are differences in e-learning requirements across educational institutions thereby posing a great danger in terms of educational standards, quality and equity. Findings also show that various social network;" though popular have not been fully integrated in our e-Iearning system. New methods of content delivery suggested go along way in improving learning processes hence the quality, access, standards and relevance of education is harnessed. An architecture design model for e -learning a product of an e-learning needs assessment forms the benchmark for e-learning for institutions of learning. The findings and recommendations from the study will eventually may be used to reform e-learning programmes and improving on tutor proficiency for quality online instruction in institutions of higher learning. The findings of the research may go along way to assist education policy makers to make decisions that improves the quality of education in terms of continuing opportunities for learners, high rate of transition, equity, retention and completion, and accelerated learning.en_US
dc.identifier.urihttp://hdl.handle.net/11071/2123
dc.language.isoenen_US
dc.subjectArchitecture designen_US
dc.subjectE-Iearning.en_US
dc.titleArchitecture design model for E-Iearningen_US
dc.typeThesisen_US
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