• DocumentCode
    508943
  • Title

    Research on Network-Course Learning Effect Evaluation Model Based on Three-layer Bayesian Network

  • Author

    Xiaorong, Hu

  • Author_Institution
    Sch. of Comput. Sci., Neijiang Normal Univ., Neijiang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    Evaluation of network-course learning effect has the characteristic with fuzziness and uncertainty. In the paper, network-course learning effect evaluation method based on three-layer Bayesian network is presented. Firstly, evaluation indexes for network-course learning effect are presented. Then, the network-course learning effect evaluation model by three-layer Bayesian network is constructed. This three-layer Bayesian network evaluation model has obvious advantages in adaptability of model, comprehensiveness of probability analysis and effective judgment for possible results compared to common probability analysis. The experimental results demonstrate that the proposed evaluation model is effective and correct.
  • Keywords
    belief networks; fuzzy set theory; statistical analysis; evaluation indexes; network-course learning effect; probability analysis; three-layer Bayesian network; Application software; Bayesian methods; Computer science; Databases; Gaussian distribution; Graphical models; Information technology; Intelligent networks; Random variables; Uncertainty; Bayesian network; evaluation model; learning effect; network-course;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.159
  • Filename
    5368694