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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Wu, X., Zheng, Q., Li, H., & Liu, G. (2008). A method to find learner’s key characteristic in wed-based learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5145 LNCS, pp. 145–156). https://doi.org/10.1007/978-3-540-85033-5_15
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