An Effective E-Learning System Based on Knowledge Management and Intelligent Agents

Abstract

In this paper, a Highly Efficient e-Learning System based on Knowledge Management and Intelligent Agents, KMIA-HELS, is proposed. The design concept is to use knowledge management and intelligent agent community to help the learners finding out the adapting courses and learning path. The system analyzes the causes of ineffective learning by portfolio and test-portfolio, and then provides personal courses to remedy learners’ learning difficulties through the analyzed information. The features of the KMIA-HELS include analyzing the causes of learning inefficiency; promoting learners’ learning efficiency by personalized courses and learning paths through the information analyzed by agents; spending less time in making teaching materials for teachers.