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연속적으로 공변하는 두 양에 대한 추론의 차이가 문제 해결에 미치는 영향

How does the middle school students’ covariational reasoning affect their problem solving?

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There are many studies on ‘how’ students solve mathematical problems, but few of them sufficiently explained ‘why’ they have to solve the problems in their own different ways. As quantitative reasoning is the basis for algebraic reasoning, to scrutinize a student‘s way of dealing with quantities in a problem situation is critical for understanding why the student has to solve it in such a way. From our teaching experiments with two ninth-grade students, we found that emergences of a certain level of covariational reasoning were highly consistent across different types of problems within each participating student. They conceived the given problem situations at different levels of covariation and constructed their own quantity-structures. It led them to solve the problems with the resources accessible to their structures only, and never reconciled with the other’s solving strategies even after having reflection and discussion on their solutions. It indicates that their own structure of quantities constrained the whole process of problem solving and they could not discard the structures. Based on the results, we argue that teachers, in order to provide practical supports for students’ problem solving, need to focus on the students’ way of covariational reasoning of problem situations.

Abstract

There are many studies on ‘how’ students solve mathematical problems, but few of them sufficiently explained ‘why’ they have to solve the problems in their own different ways. As quantitative reasoning is the basis for algebraic reasoning, to scrutinize a student‘s way of dealing with quantities in a problem situation is critical for understanding why the student has to solve it in such a way. From our teaching experiments with two ninth-grade students, we found that emergences of a certain level of covariational reasoning were highly consistent across different types of problems within each participating student. They conceived the given problem situations at different levels of covariation and constructed their own quantity-structures. It led them to solve the problems with the resources accessible to their structures only, and never reconciled with the other’s solving strategies even after having reflection and discussion on their solutions. It indicates that their own structure of quantities constrained the whole process of problem solving and they could not discard the structures. Based on the results, we argue that teachers, in order to provide practical supports for students’ problem solving, need to focus on the students’ way of covariational reasoning of problem situations.

참고문헌 (35)

  1. "2015", ~
  2. 김지은, "유추 사상의 명료화를 통한 문장제 해결에 관한 연구", 수학교육 논문집, 27(4), pp.429~448 (2013), 한국수학교육학회
  3. 김진호, "수학적 문제 해결 연구에 있어서 미래 연구 주제: 델파이 기법", 초등수학교육, 14(2), pp.187~206 (2011), 한국수학교육학회
  4. 박현정, "유사성 구성과 어포던스(affordance)에 대한 사례 연구 : 대수 문장제 해결 과정에서", 수학교육, 46(4), pp.371~388 (2007), 한국수학교육학회
  5. 박현정, "중학생들이 수학 문장제 해결 과정에서 구성하는 유사성 분석", 수학교육학연구, 16(2), pp.115~138 (2006), 대한수학교육학회
  6. 반은섭, "유추 조건에 따른 수학적 문제 해결 효과", 한국학교수학회논문집, 15(3), pp.535~563 (2012), 한국학교수학회
  7. 장윤영, "문제중심학습(PBL)에서의 수학적 문제 해결 행동 사례 연구 : Schoenfeld의 수학적 행동 분석 틀을 중심으로", 박사, 수학교육, pp.2008
  8. 전영배, "유사 문제 해결에서 구조적 유사성의 인식", 수학교육, 50(1), pp.1~12 (2011), 한국수학교육학회
  9. Carlson, M. P., "Research in collegiate mathematics education, 3, CBMS issues in mathematics education (Vol 7)", pp.114~162 (1998), Mathematical Association of America
  10. Carlson, M. P., "Applying covariational reasoning while modeling dynamic events: A framework and a study", Journal for Research in Mathematics Education, 33, pp.352~378 (2002)
  11. Carlson, M. P., "The cyclic nature of problem solving: An emergent multidimensional problem-solving framework", Educational studies in Mathematics, 58(1), pp.45~75 (2005)
  12. Castillo-Garsow, C. C., "Teaching the Verhulst model: A teaching experiment in covariational reasoning and exponential growth", doctor, pp.2010
  13. Castillo-Garsow, C. C., "Quantitative reasoning: Current state of understanding, WISDOMe Monographs (Vol. 2)", pp.55~73 (2012), University of Wyoming
  14. Castillo-Garsow, C. C., "Chunky and smooth images of change", For the Learning of Mathematics, 33, pp.31~37 (2013)
  15. Chazan, D., "Beyond Formulas in Mathematics and Teaching: Dynamics of the High School Algebra Classroom" (2000), Teachers College Press
  16. Confrey, J., "Splitting, covariation and their role in the development of exponential function", Journal for Research in Mathematics Education, 26, pp.66~86 (1995)
  17. Ellis, A. B., "Early Algebraization", pp.215~238 (2011), Springer Berlin Heidelberg
  18. Amy J. Hackenberg, "Students’ Reasoning With Reversible Multiplicative Relationships", Cognition and Instruction, 28(4), pp.383~432 (2010), Informa UK Limited[DOI]
  19. Lesh, R., "Second handbook of research on mathematics teaching and learning 2", pp.763~804 (2007), IAP
  20. Maturana, H. R., "앎의 나무: 인간 인지능력의 생물학적 뿌리" (2007), 갈무리
  21. Merriam, "정성연구방법론과 사례연구" (2007), 교우사
  22. Moore, K. C., "The role of quantitative reasoning in solving applied precalculus problems", Conference on research in undergraduate mathematics education (CRUME) (2009)
  23. Saldanha, L. A., "Re-thinking co-variation from a quantitative perspective: Simultaneous continuous variation", Proceedings of the Annual Meeting of the Psychology of Mathematics Education - North America, 1, pp.298~304 (1998), North Carolina State University
  24. Schoenfeld, A. H., "Handbook of research on mathematics teaching and learning", pp.334~370 (1992), MacMillan
  25. Schoenfeld, A. H., "Reflections on problem solving theory and practice", The Mathematics Enthusiast, 10(1, pp.2) (2013), 9~34
  26. Schroeder, T. L., "New directions for elementary school mathematics", pp.31~42 (1989), National Council of Teachers of Mathematics
  27. Smith, J., "Algebra in the early grades", pp.95~132 (2008)
  28. Steffe, L., "Pre-service middle-school teachers’ construction of linear equation concepts through quantitative reasoning", Proceedings of the Twenty-Fourth Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, 4, pp.1163~1172 (2002), ERIC Clearinghouse for Science, Mathematics, and Environmental Education
  29. Steffe, L. P., "Research design in mathematics and science education", pp.267~307 (2000), Erlbaum
  30. A theoretical model of quantity-based reasoning in arithmetic and algebra, "Thompson, P. W.", San Diego State University, Center for Research in Mathematics & Science Education, ~ (1990)
  31. Thompson, P. W., "The development of multiplicative reasoning in the learning of mathematics", pp.179~234 (1994), SUNY Press
  32. Thompson, P. W., "Conceptual analysis of mathematical ideas: Some spadework at the foundations of mathematics education", Proceedings of the Annual Meeting of the International Group for the Psychology of Mathematics Education, 1, pp.31~49 (2008), PME
  33. Thompson, P. W., "New perspectives and directions for collaborative research in mathematics education, WISDOMe Monographs (Vol. 1)", pp.33~57 (2011), University of Wyoming
  34. Thompson, P. W., "Compendium for Research in Mathematics Education" (2016), National Council of Teachers of Mathematics
  35. Weber, E., "Students' images of two-variable functions and their graphs", Educational Studies in Mathematics, 87(1), pp.67~85 (2014)

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