• DocumentCode
    2193832
  • Title

    An Integrated P2P Mobile Learning Model for Timely Farming Guidance

  • Author

    Yao, Xiaoming ; Du, Wencai ; Chen, Baodan ; Yuan, Zhongzhi

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Hainan Univ., Haikou, China
  • fYear
    2010
  • fDate
    2-4 April 2010
  • Firstpage
    84
  • Lastpage
    87
  • Abstract
    Timely farming guidance is currently achieved via web-based e-learning as agricultural information technology develops. In this paper, we address the problem of timely farming guidance by integrating the advanced mobile learning technologies with the relevant pedagogic theories. Firstly, we discuss the limitations that general mobile learning may suffer from; then, we study the specific requirements both on techniques and learning theories in case of timely farming guidance; finally, we propose a peer-to-peer mobile learning model, which shapes the essential interface between the mobile terminals and the web applications. The proposed model is validated via effective tradeoff among timely response, individual learning oriented content management and multimedia streaming based peer-to-peer interactivity.
  • Keywords
    agriculture; computer aided instruction; mobile computing; peer-to-peer computing; P2P mobile learning model; Web-based e-learning; agricultural information technology; content management; multimedia streaming; peer-to-peer interactivity; peer-to-peer model; timely farming guidance; Computer science; Computer security; Content management; Electronic learning; Informatics; Information security; Information technology; Mobile computing; Peer to peer computing; Streaming media; agricultural information technology; mobile learning; peer-to-peer interactivity; timely farming guidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
  • Conference_Location
    Jinggangshan
  • Print_ISBN
    978-1-4244-6730-3
  • Electronic_ISBN
    978-1-4244-6743-3
  • Type

    conf

  • DOI
    10.1109/IITSI.2010.26
  • Filename
    5453663