• DocumentCode
    539475
  • Title

    Research on Capability-Based Self-Learning Evaluation Strategy

  • Author

    Qiu, Bingcheng ; Lu, Dingzhu ; Li, Zhongxin ; Deng, Fangfang

  • Author_Institution
    Dept. of Comput. Technol., Guangdong Polytech. Inst., Guangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    19-20 Dec. 2010
  • Firstpage
    98
  • Lastpage
    100
  • Abstract
    The self-learning is always considered as a kind of ability, but how to evaluate this capability is a hard work. In this paper, an evaluation model, including evaluation criteria and an evaluation algorithm, is presented, it could make a fair-minded, objective, and comprehensive evaluation on self-learning ability for self-learners. The judgment factor λ and the normalization are introduced to our algorithm.
  • Keywords
    unsupervised learning; capability-based self-learning evaluation strategy; evaluation algorithm; evaluation criteria; judgment factor; Computational modeling; Computers; Cost accounting; Education; Gaussian distribution; Learning systems; Standards; evaluation strateg; normalization; self-learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2010 Second World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9287-9
  • Type

    conf

  • DOI
    10.1109/WCSE.2010.25
  • Filename
    5718271