OARLCAM : An Ontology-based Approach for Reusing and Learning through Context-aware Annotations Memory

Abstract

In this paper, we present an approach to adapt and reuse learning annotations and contexts. Then we explain the process to capitalization and reuse of learning annotations and associated learning contexts. This is to provide to the actor, an appropriate learning which is reviewed or validated previously by others, with similar learning contexts. The modeling and the formalization of learning annotations and learning contexts will allow to define functions for their comparison and their evaluations, in order to reuse them. We propose our method measuring similarities. In this way, we get learning annotations dedicated to a given and well-defined pedagogical goal. An alignment between the two types of ontology, respectively that of the annotation and that of the context will provide us with a learning based on annotations according to the current context which requires a pertinent criterion of similarity between the learning contexts and the learning annotations. This approach allows to manage annotations and adapt actors (learner, tutor, teacher, and coauthor) behaviours with the various contexts of their activities. It offers a great reutilisability to share and have a better quality of learning.