An Agent-based Intelligent Tutoring System for Enhancing ELearning/ E-Teaching
The main objective of this paper is to develop a methodology for automated system for intelligent tutoring that will provide direct customized instruction of feedback to students. This does not need the intervention of human being. The learning system will not perform effectively unless the domain model is complete and accurate. For simplifying and automating the process of creating the domain model for an intelligent Elearning system two parameters are required Cognitive parameters i.e. attributes such as performance, capability, commitment and Behavioral parameters such as pleasure, fatigue, distortion are also required for development of data mining Algorithm used in Intelligent Tutoring System. The selection of such parameters is performed by data mining method using Multi-agent system.In this paper, we propose an behavior model for a student, which combines the behavioral and cognitive state of the student and the institutional situation to establish the effective and pedagogical actions.