• 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