DocumentCode :
480309
Title :
Exploring Social Annotations for E-learning
Author :
Ping, Wang ; Hongqing, Gao
Author_Institution :
Dept. of Educ. Technol., Henan Normal Univ., Xinxiang
Volume :
5
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
222
Lastpage :
225
Abstract :
In social annotation services, there is some semantic relatedness hidden behind the co-occurrences of users, resources and tags. This paper aims to explore the implicit information and semantics with a case study of the dasiae-learningpsila annotation. Users feature, resources distribution and dasiae-learningpsila tag co-occurrence network are investigated. The results are helpful to develop learning community and system, design adaptive learning materials and form domain concepts. Although the paper instantiates the study in the context of e-learning, the methodology is generic.
Keywords :
computer aided instruction; social networking (online); e-learning annotation; e-learning tag co-occurrence network; learning community; resources distribution; social annotation services; Adaptive systems; Collaboration; Computer science; Education; Educational technology; Electronic learning; Information analysis; Software engineering; Tagging; Taxonomy; Exploring Social Annotations for e-learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.51
Filename :
4722883
Link To Document :
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