• DocumentCode
    1604281
  • Title

    Identifying students´ behaviors related to internet usage patterns

  • Author

    Oskouei, Rozita Jamili

  • Author_Institution
    Comput. Sci. & Eng. Dept., Motilal Nehru Nat. Inst. Of Technol., Allahabad, India
  • fYear
    2010
  • Firstpage
    232
  • Lastpage
    233
  • Abstract
    Our purpose in this investigation is to explore an analogy in students´ internet usages patterns and their academic performance and personal behavior and identify factors for usage patterns on internet in terms of average time spent per a day, percentage of users visited academic-websites along with their time spent in these websites, and compare with the results of users percentage of non-academic websites usage and their time spent in these category of websites. Our survey declared more details about, which type of each category of websites, are more favorable for students and majority or minority of visited websites belongs to which categories of our categorized websites, and what is the relation between this usage pattern and students academic results? Furthermore we explored behavior based on each student´s undertaken program and also semester. Our paper attempt to briefly explain all analogies of students´ usage pattern related to academic issues and make a survey as a guidance for future, for planning new techniques to establishing automatically peer-to-peer connections based on educators similar behaviors, furthermore any other new methods for designing more effectible e-learning websites for academic purposes.
  • Keywords
    Internet; Web sites; computer aided instruction; Internet usage patterns; academic issues; academic performance; e-learning; educators , similar behaviors; non-academic websites usage; peer-to-peer connections; student behaviors identification; users visited academic-websites; Computer science; Data mining; Design methodology; Electronic learning; Peer to peer computing; Performance analysis; Software libraries; Time measurement; Web and internet services; Web page design; academic performance; access log file; behavior mining; usage pattern; website classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology for Education (T4E), 2010 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4244-7362-5
  • Electronic_ISBN
    978-1-4244-7361-8
  • Type

    conf

  • DOI
    10.1109/T4E.2010.5550104
  • Filename
    5550104