• DocumentCode
    3269518
  • Title

    Causal Analysis of Student´s Characteristics of Note-Taking Activities and Learning Performance during a Fully Online Course

  • Author

    Nakayama, Minoru ; Mutsuura, Kouichi ; Yamamoto, Hiroh

  • Author_Institution
    Human Syst. Sci., Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2012
  • fDate
    25-27 June 2012
  • Firstpage
    1924
  • Lastpage
    1929
  • Abstract
    A fully online learning environment requires support procedures in order to promote pro-active learning. This paper presents the causal relationships between student´s characteristics, note-taking skills, learning experience, note assessment and test scores. A structural equation modeling technique is used to trace student´s learning activity as note-taking occurs. The results of this modeling technique suggest that key factors and their contributions to course performance can be measured. Also, the factors which contribute to note-taking activity were examined.
  • Keywords
    Internet; computer aided instruction; educational courses; statistical analysis; causal analysis; fully online course; fully online learning environment; learning experience; learning performance; note assessment; note-taking activities; note-taking skills; proactive learning; structural equation modeling technique; student characteristics; test scores; Analytical models; Correlation; Educational institutions; Equations; Iron; Materials; Mathematical model; Note-taking; causal analysis; fully online learning; student´s characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
  • Conference_Location
    Liverpool
  • Print_ISBN
    978-1-4673-2172-3
  • Type

    conf

  • DOI
    10.1109/TrustCom.2012.102
  • Filename
    6296224