• DocumentCode
    2871100
  • Title

    Knowledge Sharing in the Classroom: A Social Network Approach for Diagnostic Assessment and Learning Together

  • Author

    Konert, Johannes ; Göbel, Stefan ; Richter, Kristina ; Bruder, Regina

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. Darmstadt, Darmstadt, Germany
  • fYear
    2011
  • fDate
    6-8 July 2011
  • Firstpage
    350
  • Lastpage
    354
  • Abstract
    The basis for individual students´ instructional support by teachers is an individual diagnosis of one´s learning advances and difficulties. Even though sophisticated diagnostic tools exist, it remains an open question how diagnosis and learning can be merged into a consistent pedagogical method to support both teachers and students with feedback about the learning process. We propose a model for integration of peer assessment functionality for learning into a computer-based Adaptive Diagnostic Learning Environment to solve central problems of classroom diagnostic assessment, adaptive learning and knowledge transfer between peers in a classroom environment. The addressed issues, the approach and our evaluation setup are explained.
  • Keywords
    computer aided instruction; peer-to-peer computing; social networking (online); teaching; adaptive learning; classroom; computer-based adaptive diagnostic learning environment; consistent pedagogical method; diagnostic assessment; feedback; individual diagnosis; individual student instructional support; knowledge sharing; knowledge transfer; peer assessment functionality; social network approach; teachers; Adaptation models; Educational institutions; Games; Learning systems; Mathematical model; Social network services; Software; Knowledge Sharing; Learner-centered Diagnostic Assessment; Technology-enhanced Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
  • Conference_Location
    Athens, GA
  • ISSN
    2161-3761
  • Print_ISBN
    978-1-61284-209-7
  • Electronic_ISBN
    2161-3761
  • Type

    conf

  • DOI
    10.1109/ICALT.2011.109
  • Filename
    5992341