DocumentCode :
1938921
Title :
A Knowledge Categorization Based Knowledge Ontology Metadata Model
Author :
Hao, Xing-Wei ; Meng, Xiang-Xu ; Cui, Xu
Author_Institution :
Shandong Univ., Jinan
Volume :
7
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
4104
Lastpage :
4108
Abstract :
Research in modern educational psychology and cognitive psychology indicates that the cognitive process, maintenance and transference of different categories of knowledge are different, each having its special characteristics and rules. In this paper, we proposed a scheme of knowledge categorization in the computer fundamental educational field. According to the knowledge categorization, we make a deeper research on the cognitive structures of different knowledge categories, and indicate that different category of knowledge should have different knowledge framework for learning. Further more, we proposed a knowledge categorization based knowledge ontology metadata model, and made a discussion of the learning characteristics of this model, which includes knowledge expression, associative learning, knowledge maintenance, thinking fostering, and so on.
Keywords :
cognitive systems; education; psychology; associative learning; cognitive psychology; cognitive structures; educational psychology; knowledge categorization; knowledge expression; knowledge framework; knowledge maintenance; knowledge ontology metadata model; thinking fostering; Application software; Cybernetics; Educational technology; Electronic learning; Humans; Information processing; Machine learning; Ontologies; Psychology; Resource management; Cognitive structure; Knowledge categorization; Knowledge ontology; Knowledge point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370864
Filename :
4370864
Link To Document :
بازگشت