• DocumentCode
    240586
  • Title

    Towards Semantically Enriched E-learning Assessment: Ontology-Based Description of Learning Objects

  • Author

    Romero, Lucila ; Gutierrez, Milagros ; Caliusco, Laura

  • Author_Institution
    Fac. de Ing. y Cienc. Hidricas, Univ. Nac. del Litoral, Santa Fe, Argentina
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    336
  • Lastpage
    338
  • Abstract
    The aim of this paper is to present the progress done in the development of an ontology network, named AONet that conceptualizes the e-assessment domain and supports the semi-automatic generation of assessment. Particularly, this paper is focused on ontology-based description of assessment as an educational resource, including the mappings between metadata standard specifications. The hypothesis of this work is that a proper description of assessment resources improves its location and retrieval by educators, learners and software systems and favors reuse and collaborative work.
  • Keywords
    computer aided instruction; medical administrative data processing; meta data; ontologies (artificial intelligence); AONet; e-assessment domain; educational resource; learning objects description; metadata standard specifications; ontology network; semantically enriched e-learning assessment; semiautomatic assessment generation; Context; Electronic learning; Instruments; Ontologies; Open Access; Semantic Web; Standards; e-assessment; ontology matching; ontology network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/ICALT.2014.236
  • Filename
    6901474