Authors :
Géraud FOKOU PELAP; Louis FIPPO FITIME; Bery Leouro MBAIOSSOUM
Volume/Issue :
Volume 8 - 2023, Issue 7 - July
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/msex427n
DOI :
https://doi.org/10.5281/zenodo.8202235
Abstract :
Web based e-Education systems are an
important type of information systems that have
benefited from Web standards for implementation,
deployment and integration. One of the challenges of
these information systems is to personalize and adapt
learning process according to the learners. To reach this
goal we have to capture and model information about
the learner, his pedagogical preferences and his learning
activity. In this paper, we propose an ontology-based
learner model, based on Semantic Web standards. We
add this model to our models of pedagogical resources
and, knowledge and skills model and we integrated it in
an industrial context. We show how this global model
meets industrial requirements in terms of functionalities,
opening up new possibilities for learning analytics and
adaptive learning.
Keywords :
e-Education Information System, e-Education Model, Ontology, Semantic Web, Learner Profile Model, Automatic Personalization, Adaptive Learning.
Web based e-Education systems are an
important type of information systems that have
benefited from Web standards for implementation,
deployment and integration. One of the challenges of
these information systems is to personalize and adapt
learning process according to the learners. To reach this
goal we have to capture and model information about
the learner, his pedagogical preferences and his learning
activity. In this paper, we propose an ontology-based
learner model, based on Semantic Web standards. We
add this model to our models of pedagogical resources
and, knowledge and skills model and we integrated it in
an industrial context. We show how this global model
meets industrial requirements in terms of functionalities,
opening up new possibilities for learning analytics and
adaptive learning.
Keywords :
e-Education Information System, e-Education Model, Ontology, Semantic Web, Learner Profile Model, Automatic Personalization, Adaptive Learning.
