• DocumentCode
    2963915
  • Title

    The Study of Self-Assessment with Prompts, Learning Journal and Referencing through Sharing for Regulation of Cognition and Their Effect on Web-Based Programming Learning

  • Author

    Shadiev, Rustam ; Hwang, Wu-Yuin ; Hsu, Jung-Lung ; Chang, Chia-Ling ; Huang, Ray Yueh-Min

  • Author_Institution
    Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    587
  • Lastpage
    591
  • Abstract
    In this study we proposed self-assessment with prompts, learning journal and referencing through sharing learning methods for regulation of cognition with one annotation system called VPen. We also aimed to investigate the effectiveness of the learning methods on web-based programming learning performance and achievement. The results of this study revealed students perceived the learning methods are useful for the strategies of regulation of cognition. We also found that self-assessment with prompts, learning journal and referencing through sharing of learning performance and behavior significantly correlate with each other and learning achievement. In addition, the results revealed learning journal brings more effect on learning performance and achievement than self-assessment with prompts.
  • Keywords
    Internet; cognition; computer aided instruction; computer science education; VPen; Web-based programming learning performance; annotation system; cognition regulation; learning journal; prompts; referencing through sharing; self-assessment study; Cognition; Debugging; Interviews; Learning systems; Materials; Monitoring; Programming; VPen; learning journal; learning performance and achievement; perceptions; referencing through sharing; self-assessment with prompts; strategies of regulation of cognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4673-1642-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2012.132
  • Filename
    6268184