• DocumentCode
    1614679
  • Title

    A new significant area: Emotion detection in E-learning using opinion mining techniques

  • Author

    Binali, Haji H. ; Wu, Chen ; Potdar, Vidyasagar

  • Author_Institution
    Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2009
  • Firstpage
    259
  • Lastpage
    264
  • Abstract
    E-learning has sprung up much interest in corporations, educational institutions and individuals alike. Recently, it has been discovered that emotion can affect the e-learning experience. However, understanding the emotional reaction of a student in a complicated learning environment is a mind boggling task. By detecting intense emotional experiences being exhibited by students, we intend to detect fluctuations in emotion as learning progresses. To achieve this, we present a conceptual emotion detection and analysis system for e-learning using opinion mining techniques.
  • Keywords
    computer aided instruction; data mining; emotion recognition; e-learning; emotion detection; learning environment; opinion mining techniques; Australia; Collaboration; Courseware; Data mining; Ecosystems; Education; Educational institutions; Electronic learning; Face detection; Learning systems; E-learning; emotion detection; opinion mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-2345-3
  • Electronic_ISBN
    978-1-4244-2346-0
  • Type

    conf

  • DOI
    10.1109/DEST.2009.5276726
  • Filename
    5276726