• DocumentCode
    511222
  • Title

    Construction of Network Learning Environment Platform for Enhancing Pre-teachers Teaching Abilities Based on Video Searching Engine

  • Author

    Haiguang, Fang ; Yang, Lei ; Ailing, Qiao

  • Author_Institution
    Dept. of Educ. Technol., Capital Normal Univ. (CNU), Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    409
  • Lastpage
    413
  • Abstract
    This paper discusses the video search engine and learning environment, and proposes construction of a network learning environment which based on video searching technology, meanwhile, which makes learning environment more effectively in improving students´ teaching ability for students and teaching ability to provide support to improve performance. The network learning environment based on video searching engine is a extension for the normal individualized requirements learning environment on experts, specific to the pre-teachers and followed the constructivism learning concept, which accentuate the individual requirements of the pre-teachers, effectively strengthen future ahead of the pre-service teachers´ teaching ability training process.
  • Keywords
    computer aided instruction; search engines; teacher training; teaching; video retrieval; constructivism learning concept; network learning environment platform; preservice teacher teaching ability training process; student teaching ability; video searching engine; Application software; Computer aided instruction; Computer applications; Computer networks; Distance learning; Education; Educational technology; Multimedia systems; Search engines; Telecommunication computing; learning environment; networking learning; pre-teachers; teaching ability; video searching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.222
  • Filename
    5384647