Learning barriers diagnosis based on fuzzy rules for adaptive learning systems

被引：17

作者：

Chen, Shyi-Ming ^{[1
,2
]}

Bai, Shih-Ming ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan

[2] Jinwen Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei Cty, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 08期

关键词：

Learning problems diagnosis; Learning barriers analysis; Learning barrier detection; Learning guidance; Fuzzy rules;

D O I：

10.1016/j.eswa.2009.02.084

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To diagnose learning barriers of learners is an important research topic of adaptive learning systems. In recent years, some methods have been presented for diagnosing learning problems of learners for adaptive learning systems. In this paper, we present a new method to diagnose learning barriers of learners based on fuzzy rules. The proposed method evaluates the learning degree and infers the probability of learning barriers of the learners based on fuzzy rules. It provides us a useful way to diagnose the learning barriers of the learners in adaptive learning systems. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：11211 / 11220

页数：10

共 11 条

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