• DocumentCode
    2245771
  • Title

    Mining Spatial Co-orientation Patterns for Analyzing Portfolios of Spatial Cognitive Development

  • Author

    Wei, Ling-Yin ; Shan, Man-Kwan

  • Author_Institution
    Dept. of Comput. Sci., National Chengchi Univ.
  • fYear
    2006
  • fDate
    5-7 July 2006
  • Firstpage
    699
  • Lastpage
    701
  • Abstract
    Spatial cognition concerns how human interpret spatial complexity. Cognitive maps are mostly used to test the spatial cognition. Analyzing cognitive maps drawn by students is helpful for teachers to understand students´ spatial cognitive ability and to draft geography teaching plans. Cognitive maps constitute the portfolios of spatial cognitive development. With the advance of e-learning technology, we can analyze portfolios of spatial cognitive development by spatial data mining of cognitive images. In this paper, we investigate the spatial co-orientation patterns for analyzing portfolios of spatial cognitive development. Spatial co-orientation patterns refer to objects that frequently occur with the same spatial orientation, e.g. left, right, below, etc., among images. We propose BFS-based approach for mining co-orientation patterns and utilize this as a tool for analyzing portfolios spatial cognitive development of students
  • Keywords
    cognitive systems; computer aided instruction; data mining; teaching; user modelling; BFS-based approach; cognitive maps analysis; e-learning technology; geography teaching plans; portfolio analysis; spatial cognitive development; spatial complexity; spatial coorientation pattern mining; spatial data mining; Cognition; Data mining; Education; Electronic learning; Geography; Humans; Image analysis; Pattern analysis; Portfolios; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2006. Sixth International Conference on
  • Conference_Location
    Kerkrade
  • Print_ISBN
    0-7695-2632-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2006.1652538
  • Filename
    1652538