• DocumentCode
    1783501
  • Title

    Recognition, reconstruction and fault identification problems in boolean concepts learning

  • Author

    Shafat, Gabi ; Levin, Ines

  • Author_Institution
    Afeka Tel Aviv Acad. Coll. of Eng., Tel Aviv, Israel
  • fYear
    2014
  • fDate
    14-16 May 2014
  • Firstpage
    155
  • Lastpage
    160
  • Abstract
    This study focuses on the cognitive complexity of Boolean concepts and the ability of the complexity measure to predict students´ difficulties in problem solving. The study focused on three different measures of cognitive complexity. Based on these complexity measures, difficulties in solving problems were examined, such as recognition, reconstruction, and faults identification in digital systems. The relationship between a symmetry property of a Boolean concept and the different complexity measures presented.
  • Keywords
    Boolean functions; cognition; computer science education; digital systems; electronic engineering education; fault diagnosis; problem solving; software engineering; Boolean concept learning; cognitive complexity; digital systems; fault identification problems; problem solving; recognition problems; reconstruction problems; student difficulty prediction; Companies; Boolean Concepts; Digital systems; Faults; Recognition; Reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronics Education (EWME), 10th European Workshop on
  • Conference_Location
    Tallinn
  • Type

    conf

  • DOI
    10.1109/EWME.2014.6877417
  • Filename
    6877417