A Method to Find Learner's Key Characteristic in Wed-Based Learning

Authors:
Xiyuan Wu;Qinghua Zheng;Haifei Li;Guangdong Liu
Affiliations:
Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an Shaanxi, P.R. China 710049;Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an Shaanxi, P.R. China 710049;Department of Computer Science, Union University, Jackson, USA TN 38305;Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an Shaanxi, P.R. China 710049
Venue:
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
Year:
2008

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Abstract

One of the challenges in personalized e-learning research field is how to meet the unique learning strategies according to a learner's personality characteristic. But a learner's characteristic may have many attributes, and some of them have not equal value for personalized e-learning. This paper exploits the aspect to evaluate the important attributes, puts forward the concept of key personality characteristic and an improved algorithm basing on rough set theory to find the key attributes. Systematic experiments and their results are reported and shows the dimensions of personality characteristic can be decreased to below one-quarter.