Ontologies for Personalised Adaptive Learning

Book chapter


Yarandi, Maryam, Tawil, Abdel-Rahman and Jahankhani, Hossein 2012. Ontologies for Personalised Adaptive Learning. in: Proceedings of Advances in Computing and Technology University of East London, School of Architecture Computing and Engineering.
AuthorsYarandi, Maryam, Tawil, Abdel-Rahman and Jahankhani, Hossein
Abstract

In recent years there has been an increasing interest in individual education. Consequently, one of the hot research topics is to adapt learning content to learner’s learning needs. Furthermore, recent developments in the field of semantic web have led to a renewed attention with focus in ontology-based e-learning system. This paper proposes an innovative ontological approach to design a personalised e-learning system which creates tailored contents for individual learners. The learning content associated with sequencing logic provides a clear separation between the domain and content models to increase the reusability and flexibility of the system. Additionally, in the proposed approach learner’s profiles are modelled to describe learner’s characteristics.

KeywordsPersonalised learning; Ontologies; Adaptive learning; Semantic web
Book titleProceedings of Advances in Computing and Technology
Year2012
PublisherUniversity of East London, School of Architecture Computing and Engineering
Publication dates
Print19 Jan 2012
Publication process dates
Deposited26 Mar 2012
EventAdvances in Computing and Technology 2012
Web address (URL)http://hdl.handle.net/10552/1487
Additional information

Citation:
Yarandi, M., Tawil, A.R., Jahankhani, H. (2008) ‘Ontologies for personalised adaptivelearning', Advances in Computing & Technology 2012, London: University of East London..

JournalAdvances in Computing & Technology
Accepted author manuscript
License
CC BY-ND
Permalink -

https://repository.uel.ac.uk/item/85z94

Download files

  • 226
    total views
  • 167
    total downloads
  • 3
    views this month
  • 1
    downloads this month

Export as