계절의 변화 원인에 대한 설명에서 나타난 초등학생의 개념 시뮬레이션 사례 연구
A case study on the conceptual simulation observed in explanation of elementary school students about the causes of the seasonal change
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The purpose of this study is to analyze the conceptual simulation observed when students are thinking about the causes of the seasonal change, identifying how students come up with the explanation. For this study, a framework for conceptual simulation process and strategy based on literary research was developed and its validity was proved by four experts in the field of science education. The results were as in the following: First, through the process of explaining the causes for seasonal change, students usually base their explanation on perceptual experience learned from model experiments from a science class. Besides, construct of thought experiment using the familiar object or analogize of the familiar perceptual experience. These all contributed to on explanation firmly. Second, errors from mental simulation were found in the statement of initial representation and running imagistic simulation. It happened when statement of initial representation is not in a complete and secure state or when participants think of an inappropriate situation during running imagistic simulation. Third, the study identified that the use of strategies like ‘removal’ and ‘replace’ was shown to enhance the effects of conceptual simulation particularly in regard with solar attitude at meridian passage.
Abstract
The purpose of this study is to analyze the conceptual simulation observed when students are thinking about the causes of the seasonal change, identifying how students come up with the explanation. For this study, a framework for conceptual simulation process and strategy based on literary research was developed and its validity was proved by four experts in the field of science education. The results were as in the following: First, through the process of explaining the causes for seasonal change, students usually base their explanation on perceptual experience learned from model experiments from a science class. Besides, construct of thought experiment using the familiar object or analogize of the familiar perceptual experience. These all contributed to on explanation firmly. Second, errors from mental simulation were found in the statement of initial representation and running imagistic simulation. It happened when statement of initial representation is not in a complete and secure state or when participants think of an inappropriate situation during running imagistic simulation. Third, the study identified that the use of strategies like ‘removal’ and ‘replace’ was shown to enhance the effects of conceptual simulation particularly in regard with solar attitude at meridian passage.
참고문헌 (32)
- Ball, L. J., "Analogical reasoning and mental simulation in design : Two strategies linked to uncertainty resolution", Design Studies, 30(2), pp.169~186 (2009)
- Berland, L., "Making sense of argumentation and explanation", Science Education, 93(1), pp.26~55 (2009)
- 채동현, "계절 변화의 원인에 대한 초등학교 6학년 학생들의 선개념 조사", 초등과학교육, 30(2), pp.204~212 (2011), 한국초등과학교육학회
- Clement, J., "Model-based learning as a key research area of science education", International Journal of Science Education, 22(9), pp.1041~1053 (2000)
- Clement, J., "Imagistic simulation in scientific model construction", Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society, 25 (2003), Erlbaum
- Clement, J., "Creative model construction in scientists and students: The role of imagery, analogy, and mental simulation" (2008), Springer
- Clement, J., "The role of imagistic simulation in scientific thought experiments", Topics in Cognitive Science, 1(4), pp.686~710 (2009)
- Galili, I., "Thought Experiments : Determining Their Meaning", science &Education, 18(1), pp.1~23 (2009)
- Gilbert, J., "Thought experiments in science education : potential and current realization", International Journal of Science Education, 22(3), pp.265~283 (2000)
- Gobert, J. D., "Introduction to model-based teaching and learning in science education", International Journal of Science Education, 22(9), pp.891~894 (2000)
- Griffith, T. W., "Function-follows-form transformations in scientific problem solving", Proceedings of the Cognitive Science Society, 22, pp.196~201 (2000), Lawrence Erlbaum
- Kali, Y., "Software for assisting high school students in the spatial perception of geological structures", Journal of Geoscience Education, 45(1), pp.10~21 (1997)
- Kastens, K., "Multiple modes of inquiry in earth science", The Science Teacher, 75(1), pp.26~31 (2008)
- Katz, R., "Tectonic microplates in a wax model of sea-floor spreading", New Journal of Physics, 7(37) (2005)[DOI]
- Khan, S., "Model based learning and instruction in science Ch. 8", pp.139~150 (2008), Springer
- 김순식, "초등예비교사들의 계절변화 수업에 대한 연구", 대한지구과학교육학회지, 5(3), pp.245~255 (2012), 대한지구과학교육학회
- 고민석, "과학적 문제해결을 위한 소집단 논의 과정에서 나타난 비유적 추론의 생성 수준과 설명적 모델 생성의 관계 분석", 한국과학교육학회지, 33(2), pp.522~537 (2013), 한국과학교육학회
- Lightman, A., "Teacher Predictions versus Actual Student Gains", The Physics Teacher, 31(3), pp.162~167 (1993)
- Libarkin, J. C., "Research methodologies in science education : Mental models and cognition in education", Journal of geoscience education, 51(1), pp.121~126 (2003)
- Moulton, S. T., "Imagining predictions : mental imagery as mental emulation", Philosophical Transactions of the Royal Society, 364(1521), pp.1273~1280 (2009)
- Nersessian, N. J., "Interntional handbook of conceptual change", pp.391~416 (2008), Routledge
- Nersessian, N. J., "How do engineering scientists think? model-based simulation in biomedical engineering research laboratories", Topics in Cognitive Science, 1(1), pp.1~28 (2009)
- Nersessian, N. J., "Hybrid analogies in conceptual innovation in science", Cognitive Systems Research, 10(3), pp.178~188 (2009)
- Orion, N., "Relationship between earth-science education and spatial visualization", Journal of Geoscience Education, 45, pp.129~132 (1997)
- Reiner, M., "On the limitations of thought experiments in physics and the consequences for physics education", Science and Education, 12(4), pp.385~358 (2003)
- Schwarz, C. V., "Developing a learning progression for scientific modeling : Making scientific modeling accessible and meaningful for learners", Journal of Research in Science Teaching, 46(6), pp.632~654 (2009)
- Stephens, L, "Documenting the use of expert scientific reasoning process by high school physics students", Physical Review Special Topics -Physics Education Research, 6(2) (2010)
- Trafton, J. G., "Connecting internal and external representations : Spatial transformations of scientific visualizations", Foundations of Science, 10(1), pp.89~106 (2005)
- Trickett, S., "The instantiation and use of conceptual simulations in evaluating hypotheses:movies in the mind in scientific reasoning", Peoceedings of the 24th Annual Conference of the Cognitive Science Society (2002)
- Trickett, S. B., "“What if…”: The use of conceptual simulations in scientific reasoning", Cognitive Science, 31(5), pp.843~875 (2007)
- Trickett, S. B., "How do scientists respond to anomalies? different strategies used in basic and applied science", Topics in Cognitive Science, 1(4), pp.711~729 (2009)
- Zeilik, M, "Conceptual Change in Introductory-Level Astronomy Courses", Journal of College Science Teaching, 29(4), pp.229~232 (2000)
