• DocumentCode
    1757466
  • Title

    Towards User Support in Ubiquitous Learning Systems

  • Author

    Gilman, Ekaterina ; Sanchez Milara, Ivan ; Cortes, Marta ; Riekki, Jukka

  • Author_Institution
    Comput. Sci. & Eng. Dept., Univ. of Oulu, Oulu, Finland
  • Volume
    8
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan.-March 1 2015
  • Firstpage
    55
  • Lastpage
    68
  • Abstract
    New technologies enable novel types of learning activities that differ radically from traditional approach of visiting lectures and doing homework assignments. Namely, these technologies support transforming our everyday environments into learning environments. This concept is referred to in the literature as ubiquitous learning. Enriching ubiquitous learning systems with adaptive functionality facilitates personalization of learning activities by adapting them to learners´ progress and situation. In this article, we identify needs of four user roles in ubiquitous learning systems, i.e., learner, instructor, developer, and researcher. We analyze the state of the art in ubiquitous learning and find that roles other than learners have not received much attention in the literature. Finally, we propose supporting different needs identified for four user roles by adding meta-level functionality to ubiquitous learning systems. This proposal adds self-introspective capabilities to such systems to serve their users better.
  • Keywords
    computer aided instruction; human factors; ubiquitous computing; adaptive functionality; homework assignments; learner progress; learning activities; learning activity personalization; lecture visiting; metalevel functionality; self-introspective capabilities; ubiquitous learning systems; user support; Adaptive systems; Context; Learning systems; Monitoring; Sensors; Ubiquitous computing; Adaptive and intelligent educational systems; context-aware computing; ubiquitous computing;
  • fLanguage
    English
  • Journal_Title
    Learning Technologies, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1939-1382
  • Type

    jour

  • DOI
    10.1109/TLT.2014.2381467
  • Filename
    6985644