An agent -based Intelligent System to enhance E-Learning through Mining Techniques

The growth of Internet has created new ways for education systems. Learners and teachers realize their pedagogic activities with less effort, time and money. Agent Based Intelligent System (ABIS) have proved their worth in multiple ways and in multiple domains in Education. In this paper the application of an agent-based Intelligent System for enhancing E-learning is introduced. An ABIS is a system that provides direct customized instruction or feedback to students without the intervention of human beings. With the explosion of content on the World Wide Web (WWW), the scope of application of Data and Web Mining to ELearning applications has increased tremendously. In this work, we identify a set of applications which go one step ahead from ABIS and use the WWW to aid the learning process of the “learning object content”. Each application has a high level of coupling with the knowledge representation model, which models the resources stored in the Digital Library. This research presents the architecture for simplifying and automating the process of creating the domain model for an intelligent e-learning system. In this work we present an Knowledge representation of educational resources, using the World Wide Web. The effective and accurate intelligent systems based on the mining technologies have become the most important research issue. An agent-based recommendation system helps communities of learners in searching the web for information. This paper reports on the conceptual structure that has evolved to define the development process for the pedagogical agents. It also proposes getting rich source of Information, such as the hyperlinks among pages or the Web usage information using web data mining technology Based on intelligent search systems and here we propose an architecture model of eLearning process using the agent paradigm.