Design and Implementation of Intelligent Tutoring System using Enhanced Personalization in e-Learning

A review of different E-learning Experience considers the need for personalization of learning contents to enhance the experience of learners. The current scenario of education shows that more and more learners are using e-learning to earn their degrees, build upon their knowledge base and acquire new skills. E-Learning is a $56.2 billion industry today and will double by 2017. Statistics show that by 2019, roughly half of all educational institutions will offer e-Learning based training. This initiates the study of various methodologies which analyze the profiles, learning styles, behavior, and capabilities for mapping the appropriate learning content to appropriate user. A review of approaches and methods was conducted by studying articles of past 9 years (2006-2015) by extracting information for techniques used for improving e-learning experience. A five stage literature review of personalization of learning contents using various approaches was conducted. The strengths and weaknesses followed by gaps in the related work are discussed. Further an intelligent tutoring model is proposed as the solution to enhance personalisation in e-learning.