• DocumentCode
    3713363
  • Title

    Towards an Intelligent Tutoring System developing Metacognition: Cyclical model

  • Author

    Mohamed Yassine Si Allal Zarouk;Mohamed Khaldi

  • Author_Institution
    Department of Mathematics and Computer Science, Faculty of Science, Tetouan, Abdelmalek Essa?di University, Morocco
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this article we have discussed the learning skills that are required to help students gain the full benefits of learning within Intelligent Tutoring Systems (ITS). On the one hand, students need to use metacognitive strategies to manage their learning, particularly when they have freedom to determine how they access and use a variety of on-line resources. On the other hand, ITS must includes relevant metacognitive and support activities by considering students´ differences in skills, preferences and metacognitive needs. Finally, we propose a model for the development of metacognitive strategies in ITS. The system provides a set of tools and practices exploiting the Zimmerman cyclic model of self-regulated learning (SRL).
  • Keywords
    "Artificial intelligence","Monitoring","Cognition","Reflection","Collaboration","Planning","Computers"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems: Theories and Applications (SITA), 2015 10th International Conference on
  • Type

    conf

  • DOI
    10.1109/SITA.2015.7358437
  • Filename
    7358437