Towards an Ontological Learner’s Modeling During and After the COVID-19 Pandemic

The health crisis and the unprecedented upheaval in the education systems which it caused are far from being over, consequently, the adaptation of the learning experience is most needed, and it should take into consideration the criteria of this specific crisis and its impact on the physical and mental health of the learners. In this article, we aimed to present an ontology-based learner model that will bring together the pedagogical and psychological characteristics, but also the health risks generated by the epidemic on the learners, following a Knowledge-Engineering Methodology. We developed an ontology that combines the IMS-LIP standard features and the learner characteristic. It is ready for different uses in different systems and situations during and after the COVID-19 pandemic, and it will give a global representation of the learner in order to allow him to get the best-adapted courses.

@article{OUATIQ2021,
  title     = {Towards an Ontological Learner’s Modeling During and After the COVID-19 Pandemic},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {2},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Amina OUATIQ and Kamal El Guemmat and Khalifa Mansouri and Mohammed Qbadou},
  doi       = {10.14569/IJACSA.2021.0120237},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120237}
}