• DocumentCode
    2962536
  • Title

    Harnessing Collective Intelligence in Personal Learning Environments

  • Author

    Chatti, Mohamed Amine ; Schroeder, Ulrik ; Thüs, Hendrik ; Dakova, Simona

  • Author_Institution
    Inf. 9 (Learning Technol.), RWTH Aachen Univ., Aachen, Germany
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    344
  • Lastpage
    348
  • Abstract
    The Personal Learning Environment (PLE) driven approach to learning suggests a shift in emphasis from a teacher driven knowledge-push to a learner driven knowledge pull learning model. One concern with knowledge-pull approaches is knowledge overload. Thus, there is a crucial need for knowledge filters to help learners cope with the problem of knowledge overload. In this paper, we present the details of PLEM as a Web 2.0 driven service for personal learning management, which acts as a knowledge filter for learning. The primary aim of PLEM is to harness the collective intelligence and leverage social filtering methods to help learners find quality knowledge nodes that can populate their PLEs.
  • Keywords
    Internet; computer aided instruction; personal computing; PLE; PLEM; Web 2.0 driven service; collective intelligence; knowledge filters; learner driven knowledge pull learning model; personal learning environments; personal learning management; social filtering methods; teacher driven knowledge-push; Biological system modeling; Educational institutions; Information systems; Knowledge engineering; Materials; Usability; collective intelligence; personal learning environment; personalization; social filtering; web 2.0;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4673-1642-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2012.97
  • Filename
    6268115