DocumentCode
2735308
Title
A Framework for Assessing Usage of Web-Based e-Learning Systems
Author
Chan, Chien-Chung
Author_Institution
Univ. of Akron, Akron
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
147
Lastpage
147
Abstract
The knowledge of students enables an e-learning system to provide individualized lessons for each student. This paper presents the use of web usage mining method to discover the knowledge of students from their usage sequences. The structure of lessons offered by an e- learning system can be used as website ontology to facilitate usage mining. We also present a framework for representing assessment results and usage patterns by a hierarchy of flow graphs, which can be used as decision algorithms for evaluating relationships between usage patterns and performance of students. Usage patterns can be translated into decision rules or trees for predicting student performance and for providing timely lessons.
Keywords
Web sites; data mining; decision trees; distance learning; ontologies (artificial intelligence); Web usage mining method; Web-based e-learning systems; Website ontology; decision algorithms; decision rules; decision trees; flow graphs hierarchy; usage patterns; usage sequences; Computer science; Electronic learning; Flow graphs; Intelligent systems; Learning systems; Ontologies; Sections; Testing; Tree graphs; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.23
Filename
4427792
Link To Document