Adaptive eLearning System: Conceptual Framework for Personalized Study Environment

e-Learning system provides web-based learners the facility to access the courses online anytime anywhere through internet. Traditional e-Learning system does not provide individualistic model for learner and is not suitable for all types of learner opted for e-Learning course. Therefore, the satisfaction level of the learner is not very high in maximum cases. This problem of individual learning can be taken care by implementing Adaptive e-Learning. Adaptive learning is more interactive and popular these days. This learning is the combination of intelligent tutoring and machine learning. The delivery of the learning material in Adaptive e-Learning is based on the knowledge, goal, experience, interest and background of the learner. This paper gives a detailed introduction to the concept adaptive e-learning environment and its components. A student can choose the way of learning and according to that a suitable path is assigned to them. This way of learning increase the interest of the learner and positively influence the learning outcome of the course. Keeping this new technique of e-learning, a framework for the implementation of adaptive system is also proposed based on the basic principles of adaptive e-learning.