Social Learners’ Profiles in a Distance Learning System Powered by a Social Network

This work is integrated into the general problem of the research systems of distance learning; and more particularly in the monitoring and the positioning of social profile learners in a distance learning system powered by a social network. In this article, we propose a model multi-entry to determine the learners’ profile and positioning his social type. This template allows you to exploit the different traces generated by a learner in the platform and produce indicators on his own profile. Our approach leverages the tools of the fuzzy set theory, the modal and temporal logic. The motivation of this research is to create a tool which helps the tutor to better observe and follow the actions of the learners at the level of the learning platform, and to anticipate potential discouragements or abandonment of the learner.

@article{Naoual2014,
  title     = {Social Learners’ Profiles in a Distance Learning System Powered by a Social Network},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {8},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {HROR Naoual and OUMAIRA Ilham/MESSOUSSI Rochdi},
  doi       = {10.14569/IJACSA.2014.050817},
  url       = {https://doi.org/10.14569/IJACSA.2014.050817}
}