An Adaptive E-learning System Using Bayesian Networks

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Current e-Learning systems cannot effectively promote autonomous learning by combining collaborative learning, content presentation, and assessment (self-assessment, peer assessment, etc.) and then presenting the appropriate components to the learners in a timely manner, thereby providing them with educational facilitation. The purpose of this study is to develop the system which can resolve the problem. In this study, we surveyed the current state of e-Learning systems used Bayesian networks, and then developed an e-Learning system which has a framework to build models of Bayesian networks into the system. This enables results of studies about Bayesian networks that evolve rapidly to be built directly into e-learning systems.