Using data mining to investigate cognitive processes by a creativity test-a preliminary study

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...

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Bibliographic Details
Main Authors: Yu-Ling Lu, Yuan-Chang Wu, Wei-Ming Chen, Yu-Cheng Lien, Chi-Jui Lien
Format: Conference Proceeding
Language:English
Subjects:
Association rules
cognitive development
cognitive process
Concrete
data mining
Education
Laser beams
Mirrors
Optical reflection
Online Access:Request full text
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Summary: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 1 used 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.
DOI:10.1109/COGINF.2010.5599698