Study of Personalization in E-Learning


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Abstract


E-learning systems strive to make learning interesting, relevant, interactive, and highly informative for the people who use them. From a business perspective, an E-learning system should also ensure that its users continue using these services for a longer period than estimated. To make the learners comfortable, providing personalized learning environment becomes vital. Personalization in e-learning ensures proactive content delivery tailored to an individual student, based on learned or perceived needs of the student. The available information in these e-learning systems increase every day due to advancements in various domains and thereby increasing the number of learners seeking help from these systems. The most challenging task for an e-learning system is to provide the learner-specific accurate and personalized information. There are several novel approaches or technical specifications proposed by the researchers in this domain for realization of personalization. The prime focus of this study is to survey the various factors for realization of personalization in e-learning systems and then make a comparison amongst personalized systems. Based on the comparative studies of various methods, we are able to provide certain suggestions and recommendation for improved personalization.
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Keywords


E-Learning, Personalization, Personalized E-Learning Systems, Learning Environment

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References


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