• DocumentCode
    2091594
  • Title

    Using ICT to Teach Sign Language

  • Author

    Jemni, Mohamed ; Elghoul, Oussama

  • Author_Institution
    Res. Unit of Technol. of Inf. & Commun., Ecole Super. dies Sci. et Tech. de Tunis, Tunis
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    995
  • Lastpage
    996
  • Abstract
    In spite of the fastest growing of technologies of information and communication in the education and the development of very sophisticated environments to improve learning and education, there are a few tools dedicated to deaf education due to the difficulty to create content in sign language. In this context, we present in this paper an ICT environment we developed to aid deaf people improving their social integration and communication capabilities. Our environment is a specialized LCS that generates multimedia courses to teach and learn sign language. These courses can be used either by deaf pupils to learn (or e-learn) sign language or also by hearing people to be able to communicate with deaf people. This educational environment uses mainly a Web-based interpreter of sign language developed in our research laboratory and called Websign. It is a tool that permits to interpret automatically written texts in visual-gestured-spatial language using avatar technology.
  • Keywords
    Internet; avatars; computer based training; distance learning; educational courses; linguistics; natural languages; ICT environment; Web-based interpreter; avatar technology; communication capabilities; deaf people; multimedia courses; sign language teaching; social integration; visual-gestured-spatial language; Animation; Auditory system; Avatars; Context; Deafness; Dictionaries; Education; Educational technology; Handicapped aids; Web pages; ICT environment; LCS; Sign language; deaf;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
  • Conference_Location
    Santander, Cantabria
  • Print_ISBN
    978-0-7695-3167-0
  • Type

    conf

  • DOI
    10.1109/ICALT.2008.320
  • Filename
    4561889