Using Formal Concept Analysis towards Cooperative E-Learning

被引：0
|
作者：
Beydoun, Ghassan [1 ]
机构：
[1] Univ Wollongong, Sch Informat Syst & Technol, Wollongong, NSW 2522, Australia
来源：
KNOWLEDGE ACQUISITION: APPROACHES, ALGORITHMS AND APPLICATIONS | 2009年 / 5465卷
关键词：
SOCIAL NAVIGATION; WEB;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Student interactions in an e-learning community are captured to construct a Semantic Web (SW) to create a collective meta-knowledge structure guiding students as they search the existing knowledge corpus. Formal Concept Analysis (FCA) is used as a knowledge acquisition tool to process the students virtual surfing trails to express and exploit the dependencies between web-pages to yield Subsequent and more effective focused search results. The system KAPUST2 (Keeper And Processor of User Surfing Trails) which constructs from captured students trails a conceptual lattice guiding student queries is presented. Using KAPUST as an e-learning software for an undergraduate class over two semesters shows how the lattice evolved over the two semesters, improving its performance by exploring the relationship between 'kinds' of research assignments and the e-learning semantic web development. Course instructors monitored the evolution of the lattice with interesting positive pedagogical consequences.
引用
收藏
页码：109 / 117
页数：9
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