Towards an Automatic Authoring and Optimization System of Adaptive Course Materials
Morad Hajji, Mohammed Qbadou, Khalifa Mansouri · 2019
Due to the continuous changes in university environment, a huge burdens are placed on the shoulders of teachers. Indeed, teachers are prompt to produce effective teaching resources, updated and adapted to the specific and highly evolving educational needs. So far, several research studies have been carried out in this field by adopting a partial contextualization. However, they do not adopt updated standards. In this context, in order to assist teachers in accomplishing this complex and multi-faceted task, this paper proposes a new model of an interoperable and generic system for the design and automatic validation of course materials tailored to specific needs and prerequisites based on abstract ontological models. The proposed model exploits three levels of abstraction which represent respectively the syntax, the semantics and the general context. For each level, the ontological model describes the concepts, individuals and descriptive properties of the pedagogical field. The automatic validator of generated course materials carries out the activities of human designers through the establishment of an expert system. This gives our approach the ability to produce course materials adapted and optimized to environment changes.