Dynamic Learning Style Prediction Method Based on a Pattern Recognition Technique

被引：28

作者：

Yang, Juan ^{[1
]}

Huang, Zhi Xing ^{[2
]}

Gao, Yue Xiang ^{[1
]}

Liu, Hong Tao ^{[3
]}

机构：

[1] Sichuan Normal Univ, Dept Comp Sci, Chengdu, Sichuan Provinc, Peoples R China

[2] South West Univ, Dept Comp & Informat Sci, Chongqing, Peoples R China

[3] Chongqing Univ Posts & Telecommun, Coll Comp Sci, Chongqing, Peoples R China

来源：

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES | 2014年 / 7卷 / 02期

关键词：

Learning behavior; learning style; pattern recognition; SYSTEM;

D O I：

10.1109/TLT.2014.2307858

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

During the past decade, personalized e-learning systems and adaptive educational hypermedia systems have attracted much attention from researchers in the fields of computer science Aand education. The integration of learning styles into an intelligent system is a possible solution to the problems of "learning deviation" and "cognitive overload." In this study, we propose a learning style prediction method based on a pattern recognition technique. The main contributions of this method are: (1) it is a form of middleware that can be applied to other intelligent tutoring systems, and (2) it can process topic-dependent data to make predictions and update learning style profiles in a recursive manner. Experimental evaluations demonstrated the effectiveness of this prediction method.

引用

页码：165 / 177

页数：13

共 29 条

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