Self-learning system for personalized e-learning

2017 
Knowledge is a basic requirement in the era of globalization. The act of acquiring knowledge is learning and with the advent of technology, learning has become easier. E-Learning is a popular learning method which uses the web or other technologies to promote learning. A very traditional learning method is discussed and some new methods with the integration of modern technology have been discussed. Although technologies like artificial intelligence, cloud computing, ontology, fuzzy logic etc. have been used in learning systems they are still less automated, not personalized and do not pose the capability to self-learn. A method is proposed to increase the automation and self-learning in the e-learning management systems. Further, the personalization of learning for the user so that every type of learner can learn from the type and level of the content the learner seems fit is the main aim. The proposed system is feasible, economical and scalable which makes it suitable for every level.
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