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모형 구성 참여 양상에서 나타나는 내성적인 초등학생의 인식적 감정 구성

An Introverted Elementary Student's Construction of Epistemic Affect During Modeling Participation Patterns

  • 투고 : 2018.03.05
  • 심사 : 2018.04.12
  • 발행 : 2018.04.30

초록

초등학생들은 인식적 실행에서 인식적 감정을 경험할 수 있다. 본 연구는 인식적 실행의 일환인 6차시의 호흡 운동 모형 구성 과정에서 다소 내성적인 성향을 가진 초등학생이 어떠한 인식적 감정을 구성하면서 모형 구성에 참여할 수 있었는지를 탐색한 것이다. 이를 위해 감정 일지, 촬영된 비디오 녹화본, 사후 인터뷰와 같은 여러 데이터 자원을 통해 초등학생이 구성한 인식적 감정이 분석되었으며, 특히 학생이 어떠한 감정을 구성하면서 제한적 참여에 머물렀는지, 어떠한 인식적 감정을 구성하면서 참여했는지가 조사되었다. 연구 결과, 초등학생은 첫째, '아하'라고 불리는 인식적 감정을 구성하게 되면서 모형 생성 과정에 참여할 수 있었다. 둘째, 초등학생은 상대방의 반박을 통해 '추론의 잘못을 느낌' 이라는 인식적 감정을 구성했고, 이 감정 하에서 상대방의 반박을 수용하는 모형 수정 과정에 참여할 수 있었다. 마지막으로, 초등학생은 상대방의 감정적인 연속적인 반박으로 '지침'이라는 인식적 감정을 구성하게 되면서 모형 구성에 제한적으로 참여하였으나, '상대방의 아이디어가 싫음'이라는 인식적 감정을 구성하면서 모형 평가 과정에 참여할 수 있게 되었다. 이러한 인식적 감정의 탐색을 통해, 우리는 내성적인 초등학생의 모형 구성 참여를 위해 학생이 능동적으로 아이디어와 직접적으로 관련된 인식적 감정의 구성을 할 수 있도록 하는 것이 중요하며, 또한 학생이 과거, 현재, 미래 감정을 모두 고려하면서 느낄 수 있는 감정적 부담을 이해하는 것이 필요함을 논의한다.

Recent research has shown that elementary school students can experience epistemic affect -emotions and feelings experienced within epistemic practices, such as the enjoyment of having a wonderful idea or uncomfortable feeling of at a cognitive dissonance- during modeling process. This study explores how an introverted elementary student could participate in the modeling process by constructing an epistemic affect. Based on the theory of constructed emotion, we analyzed one elementary student's constructed epistemic affect using data resources such as emotion diaries, video recordings, and post interviews. We selected one introverted student (a fifth grader), showing peripheral and full participation during modeling. Specifically, we explored which emotions were constructed when she participated in modeling peripherally -and which epistemic affect was constructed when she participated fully- during the construction, evaluation, and revision processes. The research results showed, first, that the introverted elementary student came to participate in the model construction process by constructing the epistemic affect called aha. Second, the results showed that she came to participate in the model revision process by constructing the epistemic affect called feeling that the reasoning was wrong when confronting the rebuttals of the other student. Finally, she came to participate in the model evaluation process by constructing the epistemic affect called dislike of another student's idea. Through our exploration of the constructed epistemic affect of the introverted elementary student, we deduced that it is important to help each student to construct an epistemic affect that facilitates his or her participation in modeling. Also, we discussed that it is important to understand the impact of the emotional load that can occur for each student, depending on the constructed past, present, and future emotions.

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참고문헌

  1. Aldous, C. R. (2007). Creativity, problem solving and innovative science: Insights from history, cognitive psychology and neuroscience. International Education Journal, 8(2), 176-186.
  2. Alsop, S. (2005). Beyond Cartesian Dualism: Encountering Affect in the Teaching and Learning of Science. Dordrecht: Springer Science & Business Media.
  3. Alsop, S. (2011). The body bites back. Cultural Studies of Science Education, 6, 611-623. https://doi.org/10.1007/s11422-011-9328-4
  4. Alsop, S., & Watts, M. (2003). Science education and affect. International Journal of Science Education, 25(9), 1043-1047. https://doi.org/10.1080/0950069032000052180
  5. Arango-Munoz, S., & Michaelian, K. (2014). Epistemic feelings, epistemic emotions: Review and introduction to the focus section. Philosophical Inquiries 2/1, 97-122.
  6. Barrett, L. F. (2017a). The Theory of constructed emotion: an active inference account of interoception and categorization. Social Cognitive and Neuroscience, 1-23. doi: 10.1093/scan/nsw154
  7. Barrett, L. F. (2017b). How emotions are made: The secret life the brain. New York, NY: Houghton-Mifflin-Harcourt.
  8. Barrett, L. F., & Satpute, A. B. (2013). Large-scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain. Current Opinion in Neurobiology, 23(3), 361-372. https://doi.org/10.1016/j.conb.2012.12.012
  9. Boiger, M., & Mesquita, B. (2012). Construction of emotion in interactions, relationships, and cultures. Emotion Review, 4(3), 221-229. https://doi.org/10.1177/1754073912439765
  10. Clark-Polner, E., Johnson, T., & Barrett, L. F. (2016). Multivoxel pattern analysis does not provide evidence to support the existence of basic emotions. Cerebral Cortex, 27(3), 1944-1948. doi: 10.1093/cercor/ bhw028.
  11. Cho, H., & Nam, J. (2017). Analysis of Trends of Model and Modeling-Related Research in Science Education in Korea. Journal of the Korean Association of Science Education, 37(4), pp. 539-552. https://doi.org/10.14697/JKASE.2017.37.4.539
  12. Clement, J. (2008). Creative model construction in scientists and students: The role of imagery, analogy, and mental simulation. Dordrecht: Springer Science & Business Media.
  13. Clore, G. L. (2009). Affect as information. In D. Sander & K. Scherer (Eds.), The oxford companion to emotion and the affective sciences. Oxford: Oxford University Press.
  14. Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory. New bury park, CA: Sage publications.
  15. DeBellis, V. A., & Goldin, G. (2006). Affect and meta-affect in mathematical problem solving: A representational perspective. Educational Studies in mathematics, 63(2), 131-147. https://doi.org/10.1007/s10649-006-9026-4
  16. Derry, S. J., Pea, R. D., Barron, B., Engle, R. A., Erickson, F., Goldman, R., Hall, R., Koschmann, T., Lemke, J., Sherin, M., & Sherin, B. L. (2010). Conducting video research in the learning sciences: Guidance on selection, analysis, technology, and ethics. The Journal of the Learning Sciences, 19(1), 3-53. https://doi.org/10.1080/10508400903452884
  17. Denzin, N. (1984). On understanding emotion. San Francisco, CA: Jossey-Bass.
  18. Driver, R., Leach, J., Millar, R., & Scott, P. (1996). Young people's images of science. Buckingham: Open University Press.
  19. Dokic, J. P. (2009). Margin for error and the transparency of knowledge. Synthese, 166(1), 1-20. https://doi.org/10.1007/s11229-007-9245-y
  20. de Gelder, B., Terburg, D., Morgan, B., Hortensius, R., Stein, D. J., & van Honk, J. (2014). The role of human basolateral amygdala in ambiguous social threat perception. Cortex, 52, 28-34. https://doi.org/10.1016/j.cortex.2013.12.010
  21. Ekman, P. (1984). Expression and the nature of emotion. In K. R. E. Scherer (Ed.), Approaches to emotion (pp. 319-343). Hillsdale, NJ: Lawrence Erlbaum.
  22. Ekman, P., & Friesen, W. V. (1975). Unmasking the face. Englewood Cliffs, NJ: Prentice-Hall.
  23. Eum, H., & Ko, M. (2013). A case study of blackmail in physical education class. Journal of Research in Curriculum and Instruction, 17(4), 1081-1100. https://doi.org/10.24231/rici.2013.17.4.1081
  24. Forbes, C. T., Zangori, L., & Schwarz, C. V. (2015). Empirical validation of integrated learning performances for hydrologic phenomena: 3rd grade students’ model driven explanation construction. Journal of Research in Science Teaching, 52(7), 895-921. https://doi.org/10.1002/tea.21226
  25. Geertz, C. (1973). The interpretation of culture. New York: Basic.
  26. Gilbert, J. K., & Justi, R. (2016). Modelling-based teaching in science education. Cham : Springer.
  27. Gopnik, A. (1998). Explanation as orgasm. Minds and Machines, 8(1), 101-118. https://doi.org/10.1023/A:1008290415597
  28. Hammer, D., & Elby, A. (2002). On the form of a personal epistemology. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology : The psychology of beliefs about knowledge and knowing (pp. 169-190). Mahwah, NJ: Erlbaum.
  29. Han, M. H., & Kim, H. B. (2013). The role of teacher's question prompt in elementary students' "Food Web" modeling. Biology Education, 41(2), 296-309. https://doi.org/10.15717/bioedu.2013.41.2.296
  30. Han, M., & Kim, H. (2017). Elementary Students' Cognitive-Emotional Rebuttals in Their Modeling Activity: Focusing on Epistemic Affect. Journal of the Korean Association of Science Education, 37(1), pp. 155-168. https://doi.org/10.14697/JKASE.2017.37.1.0155
  31. Hmelo‐Silver, C. E., Liu, L., Gray, S., & Jordan, R. (2015). Using representational tools to learn about complex systems: A tale of two classrooms. Journal of Research in Science Teaching, 52(1), 6-35. https://doi.org/10.1002/tea.21187
  32. Hoemann, K., Gendron, M., & Barrett, L. F. (2015). Mixed emotions in the predictive brain. Current Opinion in Behavioral Sciences, 15, 51-57.
  33. Hurlemann, R., Wagner, M., Hawellek, B., Reich, H., Pieperhoff, P., Amunts, K., Oros-Peusquens, A., Shah, N., Maier, W., & Dolan, R. (2007). Amygdala control of emotion-induced forgetting and remembering: evidence from Urbach-Wiethe disease. Neuropsychologia, 45(5), 877-884. https://doi.org/10.1016/j.neuropsychologia.2006.08.027
  34. Immordino‐Yang, M. H., & Damasio, A. (2007). We feel, therefore we learn: The relevance of affective and social neuroscience to education. Mind, brain, and education, 1(1), 3-10. https://doi.org/10.1111/j.1751-228X.2007.00004.x
  35. Kawasaki, K., Herrenkohl, L., & Yeary, S. A. (2004). Theory building and modeling in a sinking and floating unit: A case study of third and fourth grade students' developing epistemologies of science. International Journal of Science Education, 26(11), 1299-1324. https://doi.org/10.1080/0950069042000177226
  36. Keller, E. F. (1983). A feeling for the organism: The life and work of Barbara McClintock. New York: W. H. Freeman and Company.
  37. King, D., Ritchie, S., Sandhu, M., & Henderson, S. (2015). Emotionally intense science activities. International Journal of Science Education, 37(12), 1886-1914. https://doi.org/10.1080/09500693.2015.1055850
  38. King, D., Ritchie, S. M., Sandhu, M., Henderson, S., & Borand, B. (2017). Temporality of Emotion: Antecedent and successive variants of frustration when learning chemistry. Science Education, 101(4), pp. 639-672. https://doi.org/10.1002/sce.21277
  39. Kragel, P. A., & LaBar, K. S. (2015). Multi-variate neural bio-markers of emotional states are categorically distinct. Social Cognitive and Affective Neuroscience, 10(11), 1437-1448. https://doi.org/10.1093/scan/nsv032
  40. Jaber, L. (2014). Affective dynamics of students' disciplinary engagement in science (Doctoral dissertation). Tufts University, MA.
  41. Jaber, L., & Hammer, D. (2016). Learning to feel like a scientist. Science Education, 100(2), 189-220. https://doi.org/10.1002/sce.21202
  42. Jaber, L. Z., Robertson, A., Scherr, R., & Hammer, D. (2015). Attending to students' epistemic affect. In Robertson A. D., Scherr, R. E., & Hammer, D. (Eds.), Responsive Teaching in Science and Mathematics, pp. 162-188. New York : Routledge.
  43. Jordan, B., & Henderson, A. (1995). Interaction analysis: Foundations and practice. The journal of the learning sciences, 4(1), 39-103. https://doi.org/10.1207/s15327809jls0401_2
  44. Justi, R. S. & Gilbert, J. K. (2002). Modelling, teacher’s views on the nature of modelling, and implications for the education of modellers. International Journal of Science Education, 24(4), 369-387. https://doi.org/10.1080/09500690110110142
  45. Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. New York: Cambridge University Press.
  46. Lazarus, R. S. (1991). Emotion and adaptation. New York: Oxford University Press.
  47. LeDoux, J. (1996). The emotinal brain: The mysterious underpinnings of emotional life. New York: Simon and Schuster.
  48. Lee J. (2014). Reason and Emotion : Discussions on the Human Judgment Process with Brain Neuroscience and Biology Perspectives. Korean Society for Journalism & Communication Studies, 10(3), 161-194.
  49. Lewis, M. (2008). Self-conscious emotions: Embarrassment, pride, shame, and guilt. In M. Lewis, J. M. Haviland-Jones, & L. Feldman Barrett (Eds.), Handbook of emotions (pp. 742.756). New York: The Guilford Press.
  50. Lindesmith, A. R., Strauss, A. L., & Denzin, N. K. (1975). Readings in social psychology. Hinsdale, Ill: Dryden.
  51. Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012). The brain basis of emotion: a meta-analytic review. Behavioral and Brain Sciences, 35(3), 121-143. https://doi.org/10.1017/S0140525X11000446
  52. Mihov, Y., Kendrick, K. M., Becker, B., Zschernack, J., Maier, W., Keysers, C., & Hurlemann, R. (2013). Mirroring fear in the absence of a functional amygdala. Biological Psychiatry, 73(7), 9-11. https://doi.org/10.1016/j.biopsych.2012.10.029
  53. Milne, C., & Otieno, T. (2007). Understanding engagement: Science demonstrations and emotional energy. Science Education, 91(4), 523-553. https://doi.org/10.1002/sce.20203
  54. NGSS Lead States. (2013). The next generation science standards: For states, by states. Washington, DC: National Academies Press.
  55. Nicolaou, C., & Constantinou, C. (2014). Assessment of the modeling competence. Educational Research Review, 13, 52-73. https://doi.org/10.1016/j.edurev.2014.10.001
  56. Oh, P. S. & Oh, S. J. (2011). What teachers of science need to know about models: An overview. International Journal of Science Education, 33(8), 1109-1130. https://doi.org/10.1080/09500693.2010.502191
  57. Oosterwijk, S., Lindquist, K. A., Adebayo, M., & Barrett, L. F. (2015). The neural representation of typical and atypical experiences of negative images: comparing fear, disgust and morbid fascination. Social Cognitive and Affective Neuroscience, 11, 11-22.
  58. Park, J., Na, J., Joung, Y., & Song, J. (2015). How do elementary school students perceive science classroom? : Developing a framework for cultural analysis of science classroom. Journal of the Korean Association for Science Education, 35(3), 499-508. https://doi.org/10.14697/jkase.2015.35.3.0499
  59. Plantin, C. (2004). On the inseparability of emotion and reason in argumentation. In E. Weigand (Ed.), Emotion in dialogic interaction (pp. 265-276). Amsterdam, the Netherlands: John Benjamins.
  60. Ritchie, S., Hudson, P., Bellocchi, A., Henderson, S., King, D., & Tobin, K. (2015). Evolution of self-reporting methods for identifying discrete emotions in science classrooms. Cultural Studies of Science Education, 11(3), 577-593.
  61. Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110(1), 145-172. https://doi.org/10.1037/0033-295X.110.1.145
  62. Saarimaki, H., Gotsopoulos, A., Jaaskelainen, I. P., Lampinen, J., Vuilleumier, P., Hari, R., Sams, M., & Nummenmaa, L. (2016). Discrete Neural Signatures of Basic Emotions. Cerebral Cortex, 26(6), 2563-2573. https://doi.org/10.1093/cercor/bhv086
  63. Schwarz, C. V., Reiser, B. J., Acher, A., Kenyon, L., & Fortus, D. (2012). Models: challenges in defining a learning progression for scientific modeling. In A. Alonzo & A. Gotwals (Eds.), Learning progressions in science: current challenges and future directions (pp. 101-137). Rotterdam, The Nertherlands: Sense.
  64. Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Acher, A., Fortus, D., Shwartz, T., Hug, B., & Krajcik, J. (2009). Developing a learning progression for scientific modeling: making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632-654. https://doi.org/10.1002/tea.20311
  65. Schwarz, C. V., White, B. Y. (2005). Metamodeling knowledge: Developing students’ understanding of scientific modeling. Cognition and Instruction, 23(2), 165-205. https://doi.org/10.1207/s1532690xci2302_1
  66. Shen, J., & Confrey, J. (2007). From conceptual change to transformative modeling: a case study of and elementary teacher in learning astronomy. Science Education, 91(6), 948-966. https://doi.org/10.1002/sce.20224
  67. Shott, S. (1979). Emotion and social life: A symbolic inter-actionist analysis. American Journal of Sociology, 84(6), 1317-1334. https://doi.org/10.1086/226936
  68. Shweder, R. A., Haidt, J., Horton, R., & Joseph, C. (2008). The cultural psychology of the emotions: Ancient and renewed. In M. Lewis, J. M. Haviland-Jones, & L. F. Barrett (Eds.), Handbook of emotions (3rd ed., pp. 409-427). New York, NY: Guilford Press.
  69. Sidnell, J., & Stivers, T. (2005). Multimodal interaction. Special Issue of Semiotica, 156(1/4), 1-20.
  70. Sinatra, G. M., Broughton, S. H., & Lombardi, D. (2014). Emotions in science education. In R. Pekrun, & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 415-457). New York, NY: Routedge.
  71. Sung, J. Y., & Oh, P. S. (2017). Sixth grade students' content-specific competencies and challenges in learning the seasons through modeling. Research in Science Education. https://doi.org/10.1007/s11165-016-9589-88
  72. Tomas, L., Rigano, D., & Ritchie, S. M. (2016). Students' regulation of their emotions in a science classroom. Journal of Research in Science Teaching, 53(2), 234-260. https://doi.org/10.1002/tea.21304
  73. Trout, J. (2002). Scientific explanation and the sense of understanding. Philosophy of Science, 69(2). 212-233. https://doi.org/10.1086/341050
  74. Trout, J. (2007). The psychology of scientific explanation. Philosophy Compass, 2(3), 564-591. https://doi.org/10.1111/j.1747-9991.2007.00081.x
  75. Tsuchiya, N., Moradi, F., Felsen, C., Yamazaki, M., & Adolphs, R. (2009). Intact rapid detection of fearful faces in the absence of the amygdala. Nature Neuroscience, 12(10), 1224-1225. https://doi.org/10.1038/nn.2380
  76. Turner, J. (2000). On the origins of human emotions: A sociological inquiry into the evolution of human affect: Stanford University Press.
  77. Turner, J. H. (2009). The sociology of emotions: Basic theoretic arguments. Emotion Review, 1, 340-354. https://doi.org/10.1177/1754073909338305
  78. Vo, T., Forbes, C. T., Zangori, L., & Schwarz, C. V. (2015). Fostering Third-Grade Students' Use of Scientific Models with the Water Cycle: Elementary teachers'conceptions and practices. International Journal of Science Education, 37(15), 2411-2432. https://doi.org/10.1080/09500693.2015.1080880
  79. Vygotsky, L. (1978). Interaction between learning and development. Readings on the development of children, 23(3), 34-41.
  80. Wager, T. D., Kang, J., Johnson, T. D., Nichols, T. E., Satpute, A. B., & Barrett, L. F. (2015). A Bayesian model of category-specific emotional brain responses. PLOS Computational Biology, 11(4), e1004066. https://doi.org/10.1371/journal.pcbi.1004066
  81. Wilson-Mendenhall, C.D., Barrett, L.F., Barsalou, L.W. (2015). Variety in emotional life: within-category typicality of emotional experiences is associated with neural activity in largescale brain networks. Social Cognitive and Affective Neuroscience, 10(1), 62-71. doi:10.1093/scan/nsu037
  82. Windschitl, M., Thompson, J., & Braaten, M. (2008). Beyond the scientific method: Model-based inquiry as a new paradigm of preference for school science investigations. Science Education, 92(5), 941-967. https://doi.org/10.1002/sce.20259
  83. Won, M., Yoon, H., & Treagust, D. F. (2014). Students’ learning strategies with multiple representations: Explanations of the human breathing mechanism. Science Education, 98(5), 840-866. https://doi.org/10.1002/sce.21128
  84. Yin, R. K. (2009). Case study research: Design and methods. Thousands Oaks, CA: Sage.
  85. You, Y., & Oh, P. (2016). Effects of Modeling-Based Science Inquiry Instruction on Elementary Students' Learning in the Unit of Seasonal Changes. Journal of Korean Elementary Science Education, 35(2), pp. 265-276. https://doi.org/10.15267/keses.2016.35.2.265

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