• DocumentCode
    123476
  • Title

    Model and research on score evaluation model of graduation thesis

  • Author

    Hong-ben Mao ; Qi Jiang ; Ai-hua Zhou ; Shi-fa Wang

  • Author_Institution
    Office of Acad. Affairs, Nanjing Forestry Univ., Nanjing, China
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    735
  • Lastpage
    738
  • Abstract
    The score evaluation of graduation thesis is an important means to inspect, evaluate and promote graduation thesis. In this paper, by using the significance test method of the multivariate statistical analysis, we examined the impact significance of each evaluation index on graduation thesis total evaluation result, based on this to select the appropriate evaluation index and to construct a score evaluation model. By means of BP neural network, we constructed the non-linear model between the graduation thesis evaluation indices and overall mark, and finally formed an effective score evaluation method on graduation thesis.
  • Keywords
    backpropagation; educational computing; inspection; neural nets; statistical analysis; BP neural network; evaluation index; graduation thesis evaluation indices; graduation thesis inspection; graduation thesis promotion; graduation thesis total evaluation result; multivariate statistical analysis; nonlinear model; score evaluation model; test method; Computational modeling; Computers; Indexes; Neural networks; BP neural network; graduation thesis; higher education; score evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926559
  • Filename
    6926559