el 16(12): e6

Research Article

Personalized Students’ Profile Based On Ontology and Rule-based Reasoning

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  • @ARTICLE{10.4108/eai.2-12-2016.151720,
        author={Shaimaa Nafea and Leandros A. Maglaras and Francois iewe and Richard Smith and Helge Janicke},
        title={Personalized Students’ Profile Based On Ontology and Rule-based Reasoning},
        journal={EAI Endorsed Transactions on e-Learning},
        volume={3},
        number={12},
        publisher={EAI},
        journal_a={EL},
        year={2016},
        month={12},
        keywords={adaptive Learning, Semantic W eb, A daptability, Learner Profile, ontology, Pellet reasoner, FSLSM, MBTI. Received on 17 March 2016, accepted on 24 June 2016, published on 25 November 2016},
        doi={10.4108/eai.2-12-2016.151720}
    }
    
  • Shaimaa Nafea
    Leandros A. Maglaras
    Francois iewe
    Richard Smith
    Helge Janicke
    Year: 2016
    Personalized Students’ Profile Based On Ontology and Rule-based Reasoning
    EL
    EAI
    DOI: 10.4108/eai.2-12-2016.151720
Shaimaa Nafea1, Leandros A. Maglaras2,*, Francois iewe2, Richard Smith2, Helge Janicke2
  • 1: School Of Business, Arab Academy For Science Technology & Maritime Cairo, Egypt
  • 2: School of Computer Science and Informatics De Montfort University Leicester, UK
*Contact email: leandros.maglaras@dmu.ac.uk

Abstract

Nowadays, most of the existing e-learning architecture provides the same content to all learners due to ”one size fits for all” concept. E-learning refers to the utilization of electronic innovations to convey and encourage training anytime and anywhere. There is a need to create a personalized environment that involves collecting a range of information about each learner. Questionnaires are one way of gathering information on learning style, but there are some problems with their usage, such as reluctance to answer questions as well as guesses the answer being time consuming. Ontology-based semantic retrieval is a hotspot of current research, because ontologies play a paramount part in the development of knowledge. In this paper, a novel way to build an adaptive ontological student profile by analysis of learning patterns through a learning management system, according to the Felder-Silverman learning style model (FSLSM) and Myers-Briggs Type Indicator (MBTI) theory is proposed