Improving E-Learning Performance Through Social Communications

摘要

E-learning is a way of teaching using modern communication mechanisms of computer, networks and multimedia of (sound, image and graphics), electronic libraries and mechanisms search, as long Internet portals, whether remote or in the classroom is important is aims to use technology of all kinds in the delivery of information to the learner in the shortest time and with less effort and greater benefit. E-learning on the social networking have/has become the greatest paramount type of educational systems. In this paper, we stressed mainly the problem of isolating or missing social interactions of learner request, no mean of competitions, no mean of quality and the professor may not be always involved in the request. To improve E-learning, it must be merged with sociality. Depending on open social learning network concepts, we proposed framework consisting from several essential modules. A clustering module that uses k-means which separates data sets belong to the same learners where each leaner is assigned to a group that meets his preferences. Classification module that uses a decision-tree which classifies a new student into specified class that captured as an output from clustering module in the former segment, and assign the remain learners in a lecture as friends to him, then uses association rule that applies a-priori algorithm to show how the association among courses and learners. Finally we use ranking module which uses course rank created on courses to rank the recommendation output of courses as well as the best friends who have the most similarity to the new learner.