• DocumentCode
    493486
  • Title

    Application of PCA in Assessing Influential Factors and Characteristics of Modern Distance Education in Rural Area

  • Author

    Qu Zhiming ; Wang Xiaoli

  • Author_Institution
    Sch. of Civil Eng., Hebei Univ. of Eng., Handan
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    460
  • Lastpage
    464
  • Abstract
    According to mathematical analysis, the primary components analysis (PCA) is used to analyze the effect of influential factors and characteristics on modern distance education (MDE). Based on PCA model and, the results are computed. Through case study, it can be seen that some factors and characteristics play very important role in influencing MDE and all factors and characteristics should be taken into account because the effect depends on the interaction. Through analysis and discussion, it is concluded that, under the premise of minimizing the information loss of data, the application of PCA in analyzing effect on MDE in rural area is approved to be practicable.
  • Keywords
    distance learning; statistical analysis; PCA; influential factor assessment; mathematical analysis; modern distance education; primary components analysis; rural area; Application software; Computer science; Computer science education; Cultural differences; Distance learning; Educational technology; Information analysis; Investments; Model driven engineering; Principal component analysis; PCA; influential factors and characteristics; mathematical model; modern distance education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.111
  • Filename
    4958814