• DocumentCode
    1910475
  • Title

    A Model for University Teaching Teacher´s Competence Evaluation Based on Grey Relational Analysis and Harmony Factor

  • Author

    Rongrong, Ren ; Xing Gang

  • Author_Institution
    Sch. at Qinhuangdao, Northeastern Univ., Qinhuangdao, China
  • Volume
    4
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    130
  • Lastpage
    133
  • Abstract
    Considering the complexity of university teaching teacher´s competence and some shortcomings of the current evaluation methods, with the text research, event interview, questionnaire, the multi-dimensional statistics analysis, this paper does research on the teaching teacher´s competence and designs an evaluation index system which includes 18 components and three dimensions, namely, cognitive ability, intercourse ability and professional quality. Go a step further, this paper set up a new model for teaching teacher´ competence evaluation based on grey relational analysis and harmony factor. At last, a case study is provided to verify the model. The research findings offer a workable approach in evaluating teaching teacher´s competence. It can serve as a basis in the selection, assessment and cultivation of teaching teacher´s in China.
  • Keywords
    education; grey systems; statistical analysis; teaching; cognitive ability; event interview; grey relational analysis; harmony factor; intercourse ability; multidimensional statistics analysis; professional quality; questionnaire; text research; university teaching teacher competence evaluation model; Design automation; Education; Educational technology; Fuzzy systems; Knowledge based systems; Logic; Pain; Statistical analysis; Technological innovation; University teaching teacher; competence; grey relational analysis; harmony factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.748
  • Filename
    5288230