An adaptive e-learning system based on intelligent agents

Authors:
Yi-Hsing Chang;Tsung-Yi Lu;Rong-Jyue Fang
Affiliations:
Department of Information Management, Southern Taiwan University of Technology;Department of Information Management, Southern Taiwan University of Technology;Department of Information Management, Southern Taiwan University of Technology
Venue:
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Year:
2007

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Abstract

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.