• DocumentCode
    3371374
  • Title

    Feedback and analysis from assessment metadata in e-learning

  • Author

    Hsieh, Ching-Tang ; Shih, Timothy K. ; Chang, Wen-Chih ; Ko, Wen-Chieh

  • Author_Institution
    Dept. of Electr. Eng., Tamkang Univ., Tamsui, Taiwan
  • fYear
    2003
  • fDate
    27-29 March 2003
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    With fast development in e-learning, assessment plays an important role between teaching and learning. A good e-learning system has not only good teaching strategy and better learning resources but also a proper assessment model. In this paper, we propose an assessment meta-data and assessment analysis feedback for recent e-learning environments. There is proper feedback for teachers, students, and learning management systems. The feedback could provide proper teaching, learning resource delivery and learning progress suggestions. With this approach, assessment prompts the learning effort in e-learning.
  • Keywords
    computer aided instruction; distance learning; document delivery; meta data; teaching; assessment analysis model; assessment meta-data; cognition level; e-learning; feedback; item difficulty index; item discrimination index; learning management systems; learning progress suggestions; learning resource delivery; questionnaire; teaching; Cognition; Computer aided instruction; Computer science; Education; Electronic learning; Feedback; Information analysis; Statistical analysis; System testing; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications, 2003. AINA 2003. 17th International Conference on
  • Print_ISBN
    0-7695-1906-7
  • Type

    conf

  • DOI
    10.1109/AINA.2003.1192860
  • Filename
    1192860