An Adaptive E-Learning System Based on Intelligent Agents

摘要

In this paper, an adaptive e-Learning System based Intelligent Agents, IAELS, is proposed. The design concept is to use 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 IAELS 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.