Personalized Agent-based E-Learning System for Distributed Environment

E-learning refers to learning that is delivered or enabled via electronic technology. It is the effective learning process created by combining digitally delivered content with support and services. E -learning is classified as synchronous or asynchronous. Agent -based E-learning system retrieves relevant learning materials, process and analyzes data to enable meaningful E -learning recommendations to instructors and learners. E -learning intelligent agents are sets of independent software tools that are linked with other applications and database software running within a computer environment. Personalized agent-based E-learning system provide a set of personalization functionalities such as personalizing learning plans, learning materials, test and necessary instant messages etc., to online learners. In recent years, numerous efforts have been made in the direction of automating the content acquisition and distribution, but personalized content delivery, access and interaction remain research challenges. This paper entitled “Personalized Agent-Based E-Learning System for Distributed Environment” includes intelligent agent technology that can be employed to achieve personalization in E-learning system and as a consequence to improve E-learning effectiveness dramatically. While retrieving learning content in distributed environment traffic loads take place. Therefore the learning process should be enhanced by having many agents collaborating and competing towards achieving the prescribed goals to provide personalized learning content and provide algorithms to incorporate load balancing to reduce traffic loads. Index Terms – E-learning, Agent based learning, Personalization, Load Balancing .