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KMID : 1059520110550061042
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Journal of the Korean Chemical Society
2011 Volume.55 No. 6 p.1042 ~ p.1055
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Comparative Analysis of Conceptual and Algorithmic Problem Solving Ability on Boyle’s Law and Charles’s Law in Middle School 1st Grade Students
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Park Jin-Sun
Kim Dong-Jin
Park Se-Yeol
Hwang Hyun-Sook
Park Kuk-Tae
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Abstract
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The purpose of this study was to compare the conceptual and algorithmic problem solving ability on Boyle's law and Charles’s law according to cognitive levels and characteristics of students in middle school 1st grade students. For this study, questionnaire items of conceptual and algorithmic problem solving ability were developed. and the problem solving ability according to cognitive levels and characteristics of students was compared. The long-term memory effect in conceptual and algorithmic problem solving ability according to cognitive levels was investigated, and problem solving process were analyzed by questionnaire items. In the results of this study, conceptual problem solving ability was higher than algorithmic problem solving ability in all cognitive levels. There was statistically significant difference in concrete operational period and transitional period students. In comparison of the long-term memory effect in conceptual and algorithmic problem solving ability, formal operational period students had the long-term memory effect. There was no statistically significant difference in the conceptual and algorithmic problem solving ability according to private education among the characteristics of students. But there was statistically significant difference in the problem solving ability according to experiences of the scientific activities and hopes to related scientific careers. From results of analysis of problem solving process, it is known that the students had a tendency to just remember macroscopic phenomena and to solve the problems without understanding the concepts. Therefore, teaching and learning strategy is necessary to replace unscientific concepts by the scientific concepts through identifying students’s unscientific concepts in advance.
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KEYWORD
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Conceptual problem solving ability, Algorithmic problem solving ability, Boyle’s law, Charles’s law
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