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28th International Congress of Psychology August 8 ... - U-netSURF

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1098.29 Cognitive process <strong>of</strong> insight: Representation change or progress monitoring, Jiang Qiu,<br />

Qinglin Zhang, Southwest China Normal University, China<br />

There are two cognitive theories <strong>of</strong> insight in problem solving, including the representational<br />

change theory (Simon,1990) and the progress monitoring theory (Chronicle,1999). This article<br />

studied 80 undergraduates’ cognitive process <strong>of</strong> solving the nine-dot problem by providing<br />

different cues so as to investigate the cognitive mechanism <strong>of</strong> insight. The results indicated that<br />

telling subjects to go outside the boundaries <strong>of</strong> the square had a very stronger effect on solution<br />

than providing the first line (horizontal or diagonal line) <strong>of</strong> the solution. It suggested that the<br />

representational change theory is the better indicator <strong>of</strong> performance in solving the insight<br />

problem.<br />

1098.30 A comparative study <strong>of</strong> mental models and mental logic in spatial reasoning, Qin Qiu,<br />

Zhujing Hu, Cuanxuan Cao, Jianxi Normal University, China<br />

Mental models and mental logic, which are the two sorts <strong>of</strong> theory in reasoning, give an<br />

explanation to the inferential mechanism <strong>of</strong> spatial relations respectively. Two experiments were<br />

designed to know which <strong>of</strong> the explanation is correct. The first experiment adopted two-factor<br />

repeated measured design. One variable is the number <strong>of</strong> models, the other is the number <strong>of</strong><br />

inferential steps. Since the materials showed by oral language could cause an imagery-based<br />

strategy, the second experiment used the literal materials presented by PowerPoint. The procedure<br />

was similar to the first experiment. The results supported the mental model theory.<br />

1098.31 Bayesian explain and experiments on diversity effect in inductive reasoning, Antao<br />

Chen, Hong Li, Southwest China Normal University, China<br />

By comparing experience-full task with experience-poor task, researchers find that the latter<br />

facilitates more inductive reasoning than the former. Within experience-poor task, researchers deal<br />

quantitatively and systematically with diversity, find that diversity effect is sufficient but<br />

non-necessary condition <strong>of</strong> inductive reasoning. According to Bayesian, researchers put forward a<br />

hypotheses that diversity effect consists <strong>of</strong> three successive and separate processing phases,<br />

furthermore design complex cognition subsection delay (CCSD) to study thoroughly inductive<br />

reasoning. Results show that CCSD is reasonable and feeling <strong>of</strong> surprise (FOS) in the second<br />

phase is the key factor <strong>of</strong> diversity effect formation.<br />

1098.32 On construction <strong>of</strong> thinking process model for children’s resolution <strong>of</strong> practical<br />

mathematical problems, Xiaorong Wu, Dong Yang, Qinling Zhang, Southwest China Normal<br />

University, Chongqing, China<br />

Constructing the thinking process model for children’s resolution <strong>of</strong> practical mathematical<br />

problems, the paper based on multiresearching methods such as oral reports & experiments on eye<br />

motion has verified from diverse perspectives Model including literal representation, situational<br />

representation, integral representation, structure-regulatory representation, arithmetical<br />

representation and schematic representation, which hence has confirmed that the thinking process<br />

during which children resolve practical mathematical problems is actually one <strong>of</strong> representations’<br />

transforming constantly. In addition, the present study suggests that there lacks rigid linearity<br />

among representations.<br />

215

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