Towards an Ontological Learnersâ?? Modelling Approach for Personalised e-Learning
Seyed Hosseini, Department of Informatics, School of Natural and Mathematical Sciences, King's College London, London, United Kingdom ; Abdel-Rahman Tawil, Hossein Jahankhani, Maryam Yarandi, School of Architecture, Computing and Engineering, University of East London, London, UK, United Kingdom
iJET Volume 8, Number 2, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany
The rapid advancements in the semantic web technologies has enabled personalised learning based on learnerâ??s characteristics in the learning process. We have implemented a Personalised Adaptive e-Learning system (onto-PAdeL) which uses an ontological approach in design-ing learnersâ?? models. Thus, this paper focuses on describing our approach for modelling learners based on their charac-teristics such as abilities, learning style(s), prior knowledge and preferences. The system uses Item Response Theory (IRT) for calculating learnerâ??s abilities. The learning style can be represented according to different theories, each of which supports personalisation in different ways. We show that using ontologies for learner modelling, in addition to many different benefits, enables reasoning for adaptive learning.
Hosseini, S., Tawil, A.R., Jahankhani, H. & Yarandi, M. (2013). Towards an Ontological Learnersâ?? Modelling Approach for Personalised e-Learning. International Journal of Emerging Technologies in Learning (iJET), 8(2), 4-10. Kassel, Germany: International Association of Online Engineering.