A learner's style and profile recognition via fuzzy cognitive map

被引：7

作者：

Georgiou, DA ^{[1
]}

Makry, D ^{[1
]}

机构：

[1] Democritus Univ Thrace, Sch Engn, Dept Elect & Comp Engn, Thrace 67100, Greece

来源：

IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/ICALT.2004.1357370

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

There is a crucial issue in Adaptive Educational Hypermedia, concerning the machine's ability to recognize the learner's style and profile to the purpose of providing the learning material tailored to the learner's specific needs. In this paper an approach to this problem is presented, based on methodologies one can find in Fuzzy Logic and Neural Networks. The so-called Fuzzy Cognitive Map becomes a powerful tool in this case, as it has been proved in other applications to. The reason, which leads to such approach, is mainly the observation of uncertainty in learner's profile description. Therefore, classes in any classification of learner's profile are considered as fuzzy sets and are represented as vertices of a Fuzzy Cognitive Map.

引用

页码：36 / 40

页数：5

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