• DocumentCode
    2053110
  • Title

    An Online Arabic Learning Environment Based on IMS-QTI

  • Author

    Abdelkarim, Arwa ; Boumisa, Dalila Souilem ; Braham, Rafik

  • Author_Institution
    Prince Res. Group, Univ. of Gafsa, Sousse, Tunisia
  • fYear
    2010
  • fDate
    5-7 July 2010
  • Firstpage
    116
  • Lastpage
    118
  • Abstract
    E-Learning is the modern model of education, transferring the classical text books to an electronic medium giving us the opportunity to learn almost anytime, anywhere. It has become an important stream of education in present and has a promising future. Successful e-learning applications for efficient language teaching require various corpora and Natural Language Processing (NLP) technologies. This paper deals with the application of NLP technology and IMS QTI standard to construct an online Arabic learning environment for learners. Our work is an integration of two areas: linguistics computer science. It focuses on three objectives: the development of linguistics resources and tools for the automatic processing of Arabic, the building of ontology for the Arabic language and the application and extension of the IMS-QTI for Arabic grammar as well.
  • Keywords
    computational linguistics; computer aided instruction; natural language processing; ontologies (artificial intelligence); Arabic grammar; IMS-QTI; classical text books; e-learning applications; linguistics computer science; natural language processing; online arabic learning environment; ontology; Electronic learning; Grammar; OWL; Ontologies; Pragmatics; Standards; Arabic Grammar; Assessment; E-learning; IMS QTI; NLP; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4244-7144-7
  • Type

    conf

  • DOI
    10.1109/ICALT.2010.40
  • Filename
    5571185