DocumentCode :
2566196
Title :
New e-Learning system architecture based on knowledge engineering technology
Author :
Li, Yushun ; Chen, Zheng ; Huang, Ronghuai ; Cheng, Xiaochun
Author_Institution :
Sch. of Educ. Technol., Beijing Normal Univ., Beijing, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
5140
Lastpage :
5144
Abstract :
The paper focuses on the field of research on next generational e-Learning facility, in which knowledge-enhanced systems are the most important candidates. In the paper, a reference architecture based on the technologies of knowledge engineering is proposed, which has following three intrinsic characteristics, first, education ontologies are used to facilitate the integration of static learning resource and dynamic learning resource, second, based on semantic-enriched relationships between Learning Objects (LOs), it provides more advanced features for sharing, reusing and repurposing of LOs, third, with the concept of knowledge object, which is extended from LO, an implementing mechanism for knowledge extraction and knowledge evolution in e-Learning facilities is provided. With this reference architecture, a prototype system called FekLoma (Flexible Extensive Knowledge Learning Object Management Architecture) has been realized, and testing on it is carrying out.
Keywords :
computer aided instruction; knowledge acquisition; ontologies (artificial intelligence); dynamic learning resource; e-learning system; knowledge engineering; knowledge evolution; knowledge extraction; knowledge-enhanced system; ontology; static learning resource; Collision mitigation; Computer architecture; Content management; Educational technology; Electronic learning; Knowledge engineering; Least squares approximation; Paper technology; Prototypes; Resource management; Knowledge Object; Knowledge engineering; Learning Object; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346013
Filename :
5346013
Link To Document :
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