E-Learning Recommendation Systems – A Survey

Recommendation systems are the agents that help the learner to identify a subset of suitable learning resources from a variety of choices. Recommendation Systems is a widely explored field since the last decade. Much of the work is going on in recommendation systems that are based on the evaluation of resources and users‟ data. In this paper we concentrate on E-Learning Recommendation Systems. An E-learning recommendation system is a derivative field of recommendation systems in which the resources are specifically the available bulk of learning material either online or offline. The aim of E-learning software is to select the useful piece of material which the learner actually requires to study. Our aim in this paper is to study various recommendation techniques with their virtues and shortcomings. Further we will discuss E-learning recommendation systems with a brief review of some major milestones in the field of E-Learning.