文献类型：会议论文

英文题名：Decomposition and clustering analysis for students modeling in intelligent E-Learning system

作者：Yu, Yadong[1]; Ruan, Xieyong[1]; Luo, Heng[1]; Yu, Mei[1]

机构：[1] Shaoxing University, Shaoxing, China

会议论文集：2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings

会议日期：4 December 2010 through 6 December 2010

会议地点：Hangzhou

语种：英文

外文关键词：E-learning - Students

外文摘要：Students learn in many ways. There are all kinds of Teaching methods. When a student's learning style is compatible with the instructor's teaching style, the assumed learning outcomes will be obtained. So a good intelligent E-Learning system needs adjust teaching style according to the students' learning style. In the paper, students' modeling in intelligent e-learning system is considered. The models are based on the learning styles dimensions of the Felder & Silverman model. Students are divided into groups by decomposition and clustering method. The process is under the control of parameters such as distance and maximal number of groups. Experimental results show that a effective students' modeling can be obtained by the method. ? 2010 IEEE.