Improving E-Learning Performance through Social Communications
E-learning is a way of teaching by using modern communication mechanisms of computer networks, multimedia of (sound, image and graphics), electronic libraries and search mechanisms, as well as Internet portals, whether remote or in the classroom. The aim is to use all kinds of technology for the delivery of information to the student in the shortest time with less effort and greater benefit. In this paper, we attempt to solve the problem of isolating or missing social interactions of learner request, the professor perhaps not be always involved in the request and the missing of competitions and quality. To improve e-learning, it is recommended to it with sociality. In this paper, we used some algorithms such as (k-mean algorithm, decision-tree algorithm, Apriori algorithm, course rank algorithm) as tools to achieve our goals in finding most suitable friend and most suitable course for the user’s.
