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
Link To Document :
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