• DocumentCode
    3672035
  • Title

    The use of Tin Can API for web usage mining in E-learning applications on the social network

  • Author

    W. M. Amir Fazamin W. Hamzah;Noraida Haji Ali;Md. Yazid Mohd Saman;Mohd Hafiz Yusoff;Azliza Yacob

  • Author_Institution
    School of Informatics & Applied Mathematics, Universiti Malaysia Terengganu, K. Terengganu, Malaysia
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    113
  • Lastpage
    118
  • Abstract
    Nowadays, the usefulness of the social network is very widespread. Besides used to socialize, business and advertising, the social network is also used for learning. In this study, Facebook is used as a medium of learning. E-learning applications have been embedded into Facebook as Facebook applications. This is to facilitate access to e-learning applications. Previous research has shown that web usage mining method could only track users who access e-learning applications on the social network. They did not track the behaviour of users in e-learning applications. Therefore, the use of Tin Can API is proposed to overcome this issue. Integrating e-learning applications with Tin Can API enables user behaviour can be tracked and recorded. In this paper, the use Tin Can API for web usage mining in e-learning applications on the social network is explored.
  • Keywords
    "Tin","Electronic learning","Facebook","Web mining","Software"
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications & Industrial Electronics (ISCAIE), 2015 IEEE Symposium on
  • Type

    conf

  • DOI
    10.1109/ISCAIE.2015.7298338
  • Filename
    7298338