Solving The Problem of Adaptive E-Learning By Using Social Networks
Abstract
This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart model and clustering algorithm, which can consequently gathering dispersed e-learners with comparative premiums and make fitting suggestions, which can at last upgrade the collective learning among comparable e-learners. Through closeness revelation, trust weights overhaul and potential companions change, the algorithm actualized a programmed adjusted trust association with progressively upgraded fulfillments.
Keywords: Relations, Adaptive E-Learning, Clustering , Social Network , E-learning , and Collaborative Learning
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ISSN (Paper)2222-1727 ISSN (Online)2222-2863
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