A Hybrid System: Neural Network with Data Mining in an e-Learning Environment

Authors:
David Wen-Shung Tai;Hui-Ju Wu;Pi-Hsiang Li
Affiliations:
Department of Industrial Education and Technology, National Changhua University of Education, Changhua, 500, Taiwan, ROC;Department of Industrial Education and Technology, National Changhua University of Education, Changhua, 500, Taiwan, ROC;Department of Industrial Education and Technology, National Changhua University of Education, Changhua, 500, Taiwan, ROC
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

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Abstract

This paper proposed a hybrid system combining the self-organizing map (SOM) of a neural network with the data mining (DM) method, for course recommendations in the e-learning system. SOM systems have been successfully used in several domains of artificial intelligence. Although many researches focused on e-learning system implementation and personal curriculum design, they do not give e-learners useful suggestions for selecting potential courses according to their interests or background. In order to enhance the efficiency and capability of e-learning systems, we combined the SOM method to deal with the cluster problems of the DM systems, SOM/DM for short. The experiment was carried out in a business college of a university in Taiwan, by applying the SOM/DM method to recommend courses to e-learners. The results indicated that the SOM/DM method has excellent performance.