An adaptive e-learning system based on intelligent agents

Authors:
Hua-Lin Tsai;Chi-Jen Lee;Wen-Hsi Lydia Hsu;Yu-Hsin Chang
Affiliations:
Department of Information Management, Southern Taiwan University of Technology, Tainan City 710, Taiwan;Department of Industrial Technology Education, National Kaohsiung Normal University, Kaohsiung City 802, Taiwan;Department of Business Administration, National Ping-Tung Univ. of Science and Technology, Taiwan;Cheer & Share International Ltd., Taiwan
Venue:
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
Year:
2012

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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.