• DocumentCode
    2786360
  • Title

    Educational Web Mining Applications in Intelligent Web-Education Systems

  • Author

    Liu, Shengjian

  • Author_Institution
    Lab. of Informatization Res., Xian, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    254
  • Lastpage
    257
  • Abstract
    Currently there is an increasing interest in educational web mining (EWM) and web-education systems (WES) is becoming a research hot spot. However, the lack of intelligent education service is one of the bottlenecks of applying WES. This paper analyzes briefly a few problems of existing WES and discusses the applying model of WES. According to the function requirements of intelligent WES (IWES), focusing on the design of models and algorithms of EWM, an improved architecture of IWES is proposed based on EWM and multi-agent. It is indicated that future research on IWES should be in accordance with learners´ characteristic of humanity and intelligent.
  • Keywords
    Internet; computer aided instruction; data mining; educational Web mining applications; intelligent WES; intelligent Web-education systems; intelligent education service; Algorithm design and analysis; Artificial intelligence; Data models; Databases; Education; Web mining; educational web mining; intelligent education service; multi-agent; web-education system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.18
  • Filename
    6113741