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

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.