An Ontology-Based Approach in Personalization of the e-Learning System
Lidia BĂJENARU, Mihaela TOMESCU
National Institute for Research and Development in Informatics – ICI Bucharest
8-10 Mareşal Averescu Av., 011455, Bucharest, Romania
Abstract: The emergence of the Semantic Web and its technologies have opened the way, over the last decade, for the development of ontologies and systems that use ontologies in various fields, including e-learning. This article presents elements that underpin the development of an e-learning system in the area of the Human Resource Management in the field of ontology health, respectively basic notions about the semantic Web, ontologies, personalization in e-learning. The article presents a personalized e-learning environment that uses new technologies, semantic Web and ontologies to improve the human resource management training process, being addressed to hospital managers. The necessity of this approach is given by the training requirements in the field of human resources management for the specialists from the medical system in Romania, as well as by the need to solve current limitations of the e-learning systems. The implementation of the concept of personalization of learning in the e-learning system is performed starting from the student model built to determine the level of knowledge and the objectives of training. Modeling the student profile using ontologies has demonstrated the possibility of re-using the models, the detailed and complete representation of the student’s knowledge as well as the reasoning process. This learning program aims to increase the performance, skills and competence of health managers, by deepening knowledge in the field of public health, healthcare management, and human resource management.
Keywords: Ontology, Semantic Web, E-Learning, Student Model, Personalisation, Human Resource Management, Healthcare.
CITE THIS PAPER AS:
Lidia BĂJENARU, Mihaela TOMESCU, An Ontology-Based Approach in Personalization of the e-Learning System, Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 28(2), pp. 41-56, 2018.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.