• DocumentCode
    499081
  • Title

    Courseware design and assessment methodology by fuzzy theory - A case study of energy saving course

  • Author

    Chen, Wang-Kun ; Juang, Yih-Ruey ; Cai, Dong-liang

  • Author_Institution
    Dept. of Environ. & Property Manage., Jinwen Univ. of Sci. & Technol., Taipei, Taiwan
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    3042
  • Lastpage
    3048
  • Abstract
    The purpose of this study is to develop an effective tool for the courseware design and assessment. A case study for the energy saving education was taken as the example for assessment. The model, which combines fuzzy Delphi method and fuzzy analytic hierarchy process, was developed in this research to evaluate the courseware in teaching process. The candidate indexes were selected from the most important factors of the summary of literature review. Fuzzy Delphi method was employed to study the influential factors for evaluation model in every aspect of candidates. Fuzzy analytic hierarchy process was utilized to analyze the weight of each influential factor so as to construct a reasonable and more effective score list, with which a courseware could be evaluated. Based on the given approach, the professional ability on the courseware can be improved and then the teaching quality of the different education field could be upgraded. Besides, the methodology can also be served as a basis for the future development of courseware design.
  • Keywords
    courseware; fuzzy set theory; power engineering education; teaching; courseware assessment methodology; courseware design methodology; energy saving course; energy saving education; fuzzy Delphi method; fuzzy analytic hierarchy process; fuzzy theory; teaching process; Courseware; Cybernetics; Decision making; Design methodology; Education; Fuzzy set theory; Fuzzy sets; Machine learning; Resource management; Uncertainty; Energy education; Fuzzy Delphi method; Fuzzy analytic Hierarchy process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212588
  • Filename
    5212588