Paper title: Ontologies and Personalization Parameters in Adaptive E-learning Systems: Review
Published in: Issue 1, (Vol. 14) / 2020Download
Publishing date: 2020-04-25
Pages: 14-19
Author(s): AL-CHALABI Humam K. Majeed, HUSSEIN Aqeel M. Ali
Abstract. In this era of IT, almost everything needs to be equipped with the advanced and the latest technology. So as is the case with an adaptive e-learning system. The current study topic is based reviewing the state of art ontologies and personalization parameters. The main context that lies behind the personalization of the learning scenarios is to espouse the presentations of the learning objects. It better helps to set the characteristics of the learners. The domain of ontologies in adaptive e-learning systems assists to determine the extensible representation of knowledge related to the particular domains. The user’s ontology better describes the learner’s characteristics. The findings of current research work help in making significant contributions to the literature work by exploring the models and theories of the previous research work for the e-learning systems. The policymakers of the adaptive e-learning systems can take help from the current study for the effective formulation of the policies. Also, the new model on the ontology, for supporting both the teachers and the students, can be well-defined based on the findings of the current research work. This study provides a good source of knowledge related to the ontologies and their use for elearning system environments.
Keywords: Adaptive E-learning System, Online Learning, Ontology, Personalized E-learning

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