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문제 풀이와 시뮬레이션을 접목한 물리 교수학습 방법 개발 및 적용 효과

Development and Application Effect of Physics Teaching and Learning Method Combining Problem-solving and Simulations

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교과교육연구소 (Research Institute of Curriculum & Instruction)|2023.04|교과교육학연구 (Journal of Research in Curriculum Instruction)|제27권 제2호|pp. 163-178|DOI 10.24231/rici.2023.27.2.163

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참고문헌

키워드

시뮬레이션SimulationProblem Solving교수학습 방법문제 풀이개념 이해탐구 활동Teaching and Learning MethodInquiry ActivitiesConcept Understanding

초록

본 연구에서는 문제 풀이와 시뮬레이션을 접목한 새로운 교수학습 방법을 개발하여 적용하고, 그 효과를 살펴보았다. 본 연구는 물리학I 과정을 마친 고등학생 8명을 대상으로 역학 영역의 4가지 주제에 대해 문제 풀이와 Algodoo 시뮬레이션을 접목한 교수학습을 진행하였으며, 이 과정에서 수집된 자료는 질적으로 분석되었다. 연구의 결과, 첫째, 학생들은 문제 풀이와 연계된 탐구활동을 수행하면서 자료 해석 및 실험수행과 관련한 과학적 탐구력을 함양할 수 있었다. 둘째, 문제상황과 관련한 개념 이해와 문제 해결 능력이 향상되었다. 셋째, 시뮬레이션과 문제 풀이의 결합은 학생의 메타 인지적 측면의 활용을 촉진하였고, 흥미와 참여도를 증진시켰다. 한편, 학생들의 어려움은 초기 프로그램을 접하는 과정에서 있었으며, 학생들의 탐구 경험 부족으로 인해 탐구 절차에 대한 적절한 수준에서 안내가 탐구활동에서 지원될 필요가 있었다. 본연구의 결과를 토대로 시뮬레이션을 접목한 물리교육의 방향성 및 성공적인 교수학습 방안에 대해 제언하였다.

Abstract

The study proposes a novel teaching and learning method that integrates problem-solving and Algodoo simulation to enhance physics education. The study examined the effectiveness of this method by conducting a qualitative analysis of the data collected from eight high school students who had completed the Physics I course. The results showed that the approach had several benefits. First, students were able to improve their scientific inquiry skills for data interpretation and experimentation while performing inquiry activities linked to problem-solving. Second, their concept understanding of physical situations and problem-solving abilities improved. Third, the combination of simulation and problem-solving facilitated the utilization of students' metacognitive aspects and also increased their interest and participation. However, the students encountered initial difficulties due to a lack of experience, and guidance on the inquiry process tailored to the level was necessary during the inquiry activities. Overall, the study highlights the potential of the combined teaching-learning method and its applicability in addressing the changing demands of physics education.

참고문헌 (45)

  1. Bransford, J. D., "Rethinking transfer : A simple proposal with multiple implications", Review of Research in Education, 24(1), pp.61~100 (1999)
  2. Byun, T., "Why students still can't solve physics problems after solving over 2000 problems", American Journal of Physics, 82(9), pp.906~913 (2014)
  3. Caramazza, A., "Naive beliefs in"sophisticated"subjects : Misconceptions about trajectories of objects", Cognition, 9(2), pp.117~123 (1981)
  4. Ceberio, M., "Design and application of interactive simulations in problem-solving in university-level physics education", Journal of Science Education and Technology, 25, pp.590~609 (2016)
  5. Chang, K. E., "Effects of learning support in simulation-based physics learning", Computers & Education, 51(4), pp.1486~1498 (2008)
  6. Relation Analysis of Cognitive Achievement and Context Variables about PISA 2018 Top-performing Countries, "Choi, I.", Korea Institute for Curriculum and Evaluation, ~, pp.Report No. RRE 2021-4 (2021)
  7. Creswell J. W., "Handbook of qualitative research", pp.269~284 (2011), SAGE
  8. De Jong, T., "Computer simulations : Technological advances in inquiry learning", Science, 312(5773), pp.532~533 (2006)
  9. De Jong, T., "Scientific discovery learning with computer simulations of conceptual domains", Review of educational research, 68(2), pp.179~201 (1998)
  10. De Jong, T., "The integration of computer simulation and learning support : An example from the physics domain of collisions", Journal of Research in Science Teaching, 36(5), pp.597~615 (1999)
  11. Dillenbourg, P., "Integrating technologies into educational ecosystems", Distance Education, 29(2), pp.127~140 (2008)
  12. Docktor, J. L., "Conceptual problem solving in high school physics", Physical Review Special Topics-Physics Education Research, 11(2), pp.020106~ (2015)
  13. Eylon, B., "Computer simulations as tools for teaching and learning : Using a simulation environment in optics", Journal of Science Education and Technology, 5(2), pp.93~110 (1996)
  14. Feynman, R. P., "The Feynman lectures on physics (Vol. 2)" (1964), Addison-Wesley
  15. Finkelstein, N. D., "When learning about the real world is better done virtually : A study of substituting computer simulations for laboratory equipment", Physical Review Special Topics-Physics Education Research, 1, pp.1~8 (2005)[DOI]
  16. Green, S. K., "A Review and analysis of constructivism for school-based practice", School Psychology Review, 31, pp.53~70 (2002)
  17. Hacker, D. J., "Metacognition in educational theory and practice", pp.1~23 (1998), Erlbaum
  18. Hung, W., "Conceptual understanding of causal reasoning in physics", International Journal of Science Education, 28(13), pp.1601~1621 (2006)
  19. Ince, E., "An Overview of Problem Solving Studies in Physics Education", Journal of Education and Learning, 7(4), pp.191~200 (2018)
  20. Jimoyiannis, A., "Computer simulations in physics teaching and learning : a case study on students'understanding of trajectory motion", Computers & education, 36(2), pp.183~204 (2001)
  21. Jonassen, D. H., "Using cognitive tools to represent problems", Journal of Research on Technology in Education, 35(3), pp.362~380 (2003)
  22. Kim, E., "Students do not overcome conceptual difficulties after solving 1000 traditional problems", American Journal of Physics, 70(7), pp.759~765 (2002)
  23. Kolb, S. M., "Grounded theory and the constant comparative method : Valid research strategies for educators", Journal of emerging trends in educational research and policy studies, 3(1), pp.83~86 (2012)
  24. Lee, K. M., "A comparison of inquiry and worked example web-based instruction using physlets", Journal of Science Education and Technology, 13(1), pp.81~88 (2004)
  25. Lee, Y. F., "Explore Effective Use of Computer Simulations for Physics Education", Journal of Computers in Mathematics and Science Teaching, 27(4), pp.443~466 (2008)
  26. Lindgren, R., "Spatial learning and computer simulations in science", International Journal of Science Education, 31(3), pp.419~438 (2009)
  27. Maloney, D. P., "Surveying students’ conceptual knowledge of electricity and magnetism", American Journal of Physics, 69(S1), pp.S12~S23 (2001)
  28. Moser, S., "The effect of metacognitive training and prompting on learning success in simulation-based physics learning", Science Education, 101(6), pp.944~967 (2017)
  29. O’Donoghue, T., "Qualitative educational research in action: Doing and reflecting", pp.1~6 (2003), Routledge
  30. Ohlsson, S., "Meaning change, multiple routes, and the role of differentiation in conceptual change : alternatives to resubsumption?", Educational Psychologist, 44(1), pp.64~71 (2009)
  31. Park, J., "Analyzing cognitive or non-cognitive factors involved in the process of physics problemsolving in an everyday context", International Journal of Science Education, 26(13), pp.1577~1595 (2004)
  32. Ploetzner, R., "Learning to relate qualitative and quantitative problem representations in a model-based setting for collaborative problem solving", The Journal of the Learning Sciences, 8(2), pp.177~214 (1999)
  33. Roth, W. M., "The development of science process skills in authentic context", Journal of Research in Science Teaching, 30(2), pp.127~152 (1993)
  34. Rutten, N., "The learning effects of computer simulations in science education", Computers & Education, 58(1), pp.136~153 (2012)
  35. Sierra-Fernandez, J. L., "The effect of instruction with computer simulation as a research tool on open-ended problem-solving in a Spanish classroom of 16-year-olds", Journal of Computers in Mathematics and Science Teaching, 22(2), pp.119~140 (2003)
  36. 송진웅, "미래세대를 위한 ‘과학교육표준’의 주요 내용과 특징", 한국과학교육학회지, 39(3), pp.465~478 (2019), 한국과학교육학회[DOI]
  37. Steinberg, R. N., "Development of a computer-based tutorial on the photoelectric effect", American Journal of Physics, 64(11), pp.1370~1379 (1996)
  38. Trey, L., "How science students can learn about unobservable phenomena using computer-based analogies", Computers & Education, 51(2), pp.519~529 (2008)
  39. Uhden, O., "Modelling mathematical reasoning in physics education", Science & Education, 21, pp.485~506 (2012)
  40. Van Heuvelen, A., "Learning to think like a physicist : A review of research-based instructional strategies", American Journal of Physics, 59(10), pp.891~897 (1991)
  41. Van Joolingen, W. R., "Characteristics of simulations for instructional settings", Education and Computing, 6(3-4), pp.241~262 (1991)
  42. Van Joolingen, W. R., "Issues in computer supported inquiry learning in science", Journal of Computer Assisted Learning, 23(2), pp.111~119 (2007)
  43. Yaman, M., "The effects of instructional support and learner interests when learning using computer simulations", Computers & Education, 51(4), pp.1784~1794 (2008)
  44. Zacharia, Z. C., "Comparing and combining real and virtual experimentation : an effort to enhance students'conceptual understanding of electric circuits", Journal of Computer Assisted Learning, 23(2), pp.120~132 (2007)
  45. Zacharia, Z. C., "Physical versus virtual manipulative experimentation in physics learning", Learning and instruction, 21(3), pp.317~331 (2011)

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