• DocumentCode
    567353
  • Title

    A mobile-based learning system for musicology

  • Author

    Lampropoulos, A.S. ; Lampropoulou, P.S. ; Tsihrintzis, G.A. ; Virvou, Maria

  • Author_Institution
    Dept. of Inf., Univ. of Piraeus, Piraeus, Greece
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    376
  • Lastpage
    378
  • Abstract
    In this paper, we present a learning system for musicology that is based on mobile technologies. The system combines content-based retrieval techniques and the mobile push-based approach in order to help a student identify his/her ability to distinguish the different musical genres and to identify the genre of a music file. Not only does the system help the students learn the domain of musicology, but it also teaches them how to use more efficiently many other systems and services that have been developed in the past. The mobile learning system incorporates an Intelligent Tutoring System, previously developed, that assists human tutors to create their own mobile Intelligent Tutoring Systems (ITSs) for music education.
  • Keywords
    content-based retrieval; intelligent tutoring systems; mobile computing; music; teaching; content-based retrieval techniques; intelligent tutoring system; mobile ITS; mobile push-based approach; mobile-based learning system; music education; music file genre identification; musicology; Adaptation models; Cognition; Humans; Learning systems; Mobile communication; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Society (i-Society), 2012 International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-0838-0
  • Type

    conf

  • Filename
    6284997