• DocumentCode
    3656346
  • Title

    Modelling Learner´s Personality Profile through Analysis of Annotation Digital Traces in Learning Environment

  • Author

    Nizar Omheni;Anis Kalboussi;Omar Mazhoud;Ahmed Hadjkacem

  • Author_Institution
    Higher Inst. of Comput. &
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    66
  • Lastpage
    67
  • Abstract
    The researchers in education are interested to observing and modelling the learner, and adapting their learning experience accordingly. When learners read and interact actively with their reading materials, they do unselfconscious activities like annotation practices which can be key feature to their personalities. Annotation practices require the reader to be active with the document, to think critically and to make specific annotations in the margins of the text. In this paper we propose modeling learner´s personality by referring to their annotations. The experiments show the significant role of annotation activity to reflect certain learner´ personality traits.
  • Keywords
    "Feature extraction","Psychology","Computational modeling","Writing","Adaptation models","Analytical models","Standards"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICALT.2015.76
  • Filename
    7265264