EFFECTS OF GOAL STRUCTURES' CORRESPONDENCY AND MAPPING SIMILARITY ON ANALOGICAL PROBLEM SOLVING
Teruo Yamasaki
Abstract
Open-access reader
Teruo Yamasaki
Abstract
Open-access reader
Analogical problem solving is to solve a never met problem (the target domain) by using similar knowledge domain (the base domain). However, it has not sufficiently been obvious so far what factors were related to the similarity between both domains. This study investigated the effects of two factors related to the similarity between both domains on an analogical problem solving. The first factor was the correspondency of the goal structures between both domains, while the second factor was the mapping similarity between both domains. In this experiment, 341 university students were presented “fire story” as the base domain and then requested to solve “radiation problem” as the target domain. The results showed that both factors facilitated analogical problem solving.
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Analogical problem solving is to solve a never met problem (the target domain) by using similar knowledge domain (the base domain). However, it has not sufficiently been obvious so far what factors were related to the similarity between both domains. This study investigated the effects of two factors related to the similarity between both domains on an analogical problem solving. The first factor was the correspondency of the goal structures between both domains, while the second factor was the mapping similarity between both domains. In this experiment, 341 university students were presented “fire story” as the base domain and then requested to solve “radiation problem” as the target domain. The results showed that both factors facilitated analogical problem solving.
Key concepts: Similarity (geometry), Domain (mathematical analysis), Analogical reasoning, Factor (programming language), Base (topology), Similitude, Analogy, Psychology