DocumentCode :
2539638
Title :
Using data mining to investigate cognitive processes by a creativity test-a preliminary study
Author :
Lu, Yu-Ling ; Wu, Yuan-Chang ; Chen, Wei-Ming ; Lien, Yu-Cheng ; Lien, Chi-Jui
Author_Institution :
Nat. Taipei Univ. of Educ., Taipei, Taiwan
fYear :
2010
fDate :
7-9 July 2010
Firstpage :
454
Lastpage :
457
Abstract :
This article presents a novel researched method for investigating the cognitive processes of children. This study designed an activity to observe characteristics of cognitive process. In the activity, children were asked to engage in thinking and using scientific concept to draw as many as possible optical paths between the laser gun and target. There were 95 fifth graders participate in this study. Association rules mining were 1used as a research method for exploring relationships between different types of optical path in this experiment. The data mining results demonstrated that it consist with Piaget´s cognitive development theory, showing that concrete operation is the dominant thinking mode for fifth grader. It is concluded that data mining is an appropriate research method for analyzing the cognitive processes when it is cooperated with research techniques in thinking skills, such as creativity or problem-solving.
Keywords :
cognition; data mining; problem solving; psychometric testing; Piagets cognitive development theory; association rules mining; cognitive processes investigation; concrete operation; creativity test; data mining; optical path; problem solving; Association rules; Concrete; Education; Laser beams; Mirrors; Optical reflection; cognitive development; cognitive process; data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8041-8
Type :
conf
DOI :
10.1109/COGINF.2010.5599698
Filename :
5599698
Link To Document :
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