An Adaptive Learning Ontological Framework Based on Learning Styles and Teaching Strategies
Ontology are increasingly being used in a variety of applications, and particularly in adaptive e-learning. They have
the potential to enable developers to create adaptive course content for specified domains. E-learning applications are thus able
to use technology and educational content in order to generate content that matches the student's capabilities and knowledge.
This personalises learning, rather than assuming that "one-size-fits-all" and providing all learners with the same content, which
is what the majority of e-learning systems do. This study introduces a new approach that takes into account the fact that each
learner has an individual learning style and needs. The approach enables to adapt the course content, teaching strategy and
learning objects so that they correspond to each student’s learning styles. This is achieved with the use of artificial intelligent in
the form of an ontology and rule-based reasoning.The proposed system takes some of the key design aspects such
asextensibility, reusability, and maintainability into consideration in order toenhance performance of adaptive course content
Index Terms - E-learning, Ontology, Semanticweb, Adaptive Student Profile, learning style(LS), teaching strategy
,Learning objects(LOs) , Adaptive Educational Systems (AES).