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