Journal of The Korean Association For Science Education (한국과학교육학회지)

The Korean Association for Science Education (한국과학교육학회)
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Brain Activities by the Generating-Process-Types of Scientific Emotion in the Pre-Service Teachers' Hypothesis Generation About Biological Phenomena: An fMRI Study

예비교사들의 생물학 가설 생성에서 나타나는 과학적 감성의 생성 과정 유형별 두뇌 활성화에 대한 fMRI 연구

  • Published : 2006.08.30
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Abstract

The purpose of this study was to investigate the brain activities by 4-types of Generating Process of Scientific Emotion (GPSE) in the hypothesis-generating biological phenomena by using fMRI. Four-types of GPSE were involved in the Basic Generating Process (BGP), Retrospective Generating Process (RGP), Cognitive Generating Process (CGP) and Attributive Generating Process (AGP). For this study, we made an experimental design capable of validating the 4-types of generating process (e.g. BGP, RGP, CGP and AGP), and then measured BOLD signals of 10 pre-service teachers' brain activities by 3.0T fMRI system. Subjects were 10 healthy females majoring in biology education. As a result, there were clear differences among 4-types of GPSE. Brain areas activated by BGP were at right occipital lobe (BA 17), at left thalamus and left parahippocampal gyrus, while in the case of RGP, at left superior parietal lobe (BA 8, 9), at left pulvinar and left globus pallidus were activated. Brain areas activated by CGP were the right posterior cingulate and left medial frontal gyrus (BA 6). In the case of AGP, the most distinctively activated brain areas were the right medial frontal gyrus (BA 8) and left inferior parietal lobule (BA 40). These results would mean that each of the 4-types of GPSE has a specific neural networks in the brain, respectively. Furthermore, it would provide the basis of brain-based learning in science education.

이 연구에서는 예비교사들이 생물학 가설을 생성함때 나타나는 4가지 감성 생성 유형을 fMRI 이용하여 객관적이고 실증적인 두뇌 활동에 대한 정보를 조사하였다. 연구를 위해 과학교육을 전공하는 건강한 여자 대학생 10명을 대상으로 3.0T scanner를 사용하여 492초 동안 두뇌 영상을 측정하였다. 측정한 후 언어적 보고 자료를 수집하여 fMRI 영상 자료의 신뢰도를 확보하였다 언어적 보고의 분석 결과 BGP RGP에서는 10명의 피험자가 CGP와 AGP에서는 8명의 피힘자가 유의미한 과학적 감성을 생성하였다. 이들 피험자를 대상으로 SPM2 프로그램을 사용하여 fMRI 영상 자료를 통계 처리하였다. 그 결과 GPSE의 4개 유형별로 독특한 두뇌 활성화 영역들이 나타났다. 이러한 결과는 인지심리학적으로 규명된 4개의 감성 생성 과정이 두뇌에 실제로 존재한다는 것을 경생리학적으로 규명하였다는데 그 의의가 있다. 또한 과학교육에서 fMRI를 활용한 새로운 연구방법의 확립과 사례 연구를 제시하였다는데 큰 가치가 있다. 그리고 생물학가설 생성과정의 총체적 이해에 도움이될 것이다.

Keywords

References

  1. 권용주, 신동훈, 박지영(2005). 생물학 가설의 생성에서 나타난 과학적 감성의 생성 과정. 한국과학교육학회지, 25(4), 503-513
  2. 권용주, 신동훈, 한혜영, 박윤복(2004). 과학적 관찰과 규칙성 발견활동에서 나타나는 감성단어 유형과 과학 지식 생성력과의 관계. 한국과학교육학회지, 24(6), 1106-1117
  3. 김연희(2001). Functional MRl를 이용한 뇌 기능 연구. 한국뇌학회지, 1(1), 64-76
  4. 김유미(2003). 뇌 기반 교수-학습에서 동기 유발. 열린유아교육연구, 8(1), 31-70
  5. 임채성, 오윤화(2004a). 초등학교 학생이 지각한 감성 상태와 과학 학습 경험에 대한 기억의 관계. 한국생물교육학회지, 32(2), 173-180
  6. 임채성, 오윤화(2004b). 초등과학 교수학습 활동유형에 대한 초등학생들의 감성 상태. 한국생물교육학회지, 32(4), 381-389
  7. 유승식 (2001). 기능 자기 공명 영상 실험(실전 응용을 중심으로 한), 서울: 의학문화사
  8. 이윈댁, 박경아(1996). 의학 신경 해부학. 연세의대 해부학 교실(http://anatomy.yonsei.ac.kr/neuro-web/home.htm)
  9. 이훈구, 이수정, 이은정, 박수애(2U03). 정서 심리학, 서울: 법문사
  10. Artz, J. M. (2000). The role of emotion in reason and its implication for computer ethics. Computers and Society, 30(1). 14-16
  11. Baas, D., Aleman, A., & Kahn, R. S. (2004). Lateralization of amygdala activation: a systematic review of functional neuroimaging studies. Brain Research Reviews, 45(2), 96-103
  12. Bartels, A., & Zeki, S. (2000). The neural basis of romantic love. Neuroreport, 11(17), 3829-3834
  13. Battels, A., & Zeki, S. (2004). The neural correlates of maternal and romantic love. NeuroImage, 21(3), 1155-1166
  14. Bradley, M., Codispoti, M, Sabatinelli, D., & Lang, P. (2001). Emotion and motivation II: Sex differences in picture processing. Emotion, 1(3), 300-319
  15. Buxton, R B. (2002). Introduction to functional magnetic resonance imaging: Principles and techniques. Cambridge University Press
  16. Damasio, A. R. (1994). Descartes' Error: Emotion, Reason, and the Human Brain. New York; William Morris Agency, Inc
  17. Damasio, A. R. (2003). Looking for Spinoza: Joy, Sorrow and the Feeling Brain. New York, Harcourt, Inc
  18. Davidson, R. J., Putnam. K. M, & Larson, C. L. (2000). Dysfunction in the neural circuitry of emotion regulation; a possible prelude to violence. Science. 289 (5479), 591-594
  19. Donaldson, D. I., Peterson, S. E., Ollinger, J. M, & Buckner, R L. (2001). Dissociating state and item components of recognition memory using fMRI. Neurolmage, 13(1), 129-142
  20. Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, .1. B., Firth, C D., & Frackowiak. R S. J. (1995). Statistical parametric maps in functional imaging: a general linear approach. Human Brain Mapping. 2(4), 189-210
  21. Gazzaniga, M S., Ivry, R. B.. & Mangun, G. R. (2002). Cognitive neuroscience: The biology of the mind (2nd ed.). W. W. Norton & Company
  22. Geake, J., & Cooper, P. (2003). Cognitive neuroscience: implications for education? Westminster Studies in Education, 26(1), 7-20
  23. Greene. J. D., Sommerville. R. B., Nystrom, L. E., Darley, .1. M, & Cohen, J. D. (2001). An fMRI investigation of emotional engagement in moral judgement. Science, 293, 2105-2108
  24. Gur, R. C, Schroeder, L., Turner, T., McGrath, G, Chan, R. M, Turetsky, B. I., Alsop, D., Maldjian, J., & Gur, R. E. (2002). Brain activation during facial emotion processing. Neurolmage, 16(3), 651-662
  25. Hall, J. (2005). Neuroscience and education. Education Journal, 84, 27-29
  26. Hamann, S. (2001). Cognitive and neural mechanisms of emotional memory. Trends in Cognitive Sciences, 5(9), 394-400
  27. Hamann, S., & Canli, T. (2004). Individual differences in emotion processing. Current Opinion in Neurobiology, 14(2), 233-238
  28. Hansen, L., & Monk, M (2002). Brain development, structuring of learning and science education: where are we now'? a review of some recent research. International Journal of Science Education, 24(4), 343-356
  29. Huettel, S. A., Song, A. W., & McCarthy, G. (2004). Functional magnetic resonance imaging. Sinauer Associates, Inc.
  30. Jensen, E. (1998). Teaching with the brain in mind. Association for Supervision and Curriculum Development
  31. Junghofer, M Schupp, H. T., Stark, R., & Vaitl, D. (2005). Neuroimaging of emotion: empirical effects of proportional global signal scaling in fMRI data analysis. Neurolmage, 25(2), 520-526
  32. Kemmotsu, N., Villalobos, M. E., Graffrey, M S., Courchesne, E., & Muller, R (2005). Activity and functional connectivity of inferior frontal cortex associated with response conflict. Cognitive Brain Research, 24(2), 335-342
  33. Kolb, B., & Whishaw, I. Q. (1996). Fundamentals of human neuropsychology (4th ed.). New York, W. H. Freeman and Company
  34. Lang, P. J. (1997). International affective picture system (IAPS): Technical manual and affective ratings. NIMH center for the study of emotion and attention, Gainsville
  35. LeDoux, J. E. (1996). The emotional brain: the mysterious underpinning of emotional life. NY: Touchstone
  36. LeDoux, J. E. (2000). Cognitive-emotional interactions: Listen to the brain. In R. D. Lane & L. Nadel (Eds.), Cognitive neuroscience of emotion, (pp. 129-155). New York, Oxford University Press
  37. LeDoux, J. E. (2002). Synaptic self; How our brains become who we are. Penguin Books, (pp. 97-324)
  38. Loewenstein, G., & Lerner, J. S. (2003). The role of affect in decision making. In R J. Davidson, K. R Scherer, & H. II. Goldsmith (Eds.), Handbook of affective sciences, (pp. 619-642). Oxford University Press
  39. Meyer, D. K., & Turner, J. C. (2002). Discovering emotion in classroom motivation research. Educational Psychologist, 37(2). 107-114
  40. Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002). Functional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI. Neurolmage, 16(2), 331-348
  41. Rapp, A. M., Leube, D. T., Erb, M, Grodd, W., & Kirecher, T. T. (2004). Neural correlates of metaphor processing. Cognitive Brain Research, 20(3), 395-402
  42. Rossion, B., Caldara, R, Seghier, M, Schuller, A., Lazeyras, F., & Mayer, E. (2003). A network of occipito-temporal face-sensitive areas besides the right middle fusiform gyrus is necessary for normal face processing. Brain, 126(Pt 11), 2381-2395
  43. Shiv, B., Loewenstein, G., & Bechara, A. (2005). The dark side of emotion in decision-making-' When individuals with decreased emotional reactions make more advantageous decisions. Cognitive Brain Research, 23(1), 85-92
  44. Snell, R. S. (2001). Clinical neuroanatomy for medical students. (박경한 대표역, 2005), Lippincott Williams & Wilkins, Inc.
  45. Strauss, M M, Makris, N., Aharon, I., Vangel, M. G., Goodman, J., Kennedy, D. N., Gasic, G. P., & Breiter, H. C. (2005). fMRI of sensitization to angry faces. NeuroImage, 26(2), 389-413
  46. Sylwester, R. (1994). How emotions affect learning. Educational leadership, 52(2), 60-68
  47. Takahashi, H., Koeda, M., Oda, K., Matsuda, T., Matsushima, E., Matsuura, M, Asai, K., & Okubo, Y. (2004). An fMRI study of differential neural response to affective pictures in schizophrenia. Neurolmage, 22(3), 1247-1254
  48. Talairach, J., & Tournoux, P. (1988). Co-Planner stereotaxic atlas of the human brain. New York: Thieme Medical publishers, Inc.
  49. Thagard, P. (2002). The passionate scientist: Emotion in scientific cognition. In P. Carruthers, S. Sitch, & M Siegal (Eds.), The Cognitive basis of science, (pp. 235 -250). Cambridge University Press
  50. Veit, R., Flor, H., Erb, M, Hermann, G, Lortze, M, Grodd, W., & Birbaumer, N. (2002). Brain circuits involved in emotional learning in antisocial behavior and social phobia in humans. Neuroscience Letters, 328(3), 233-236
  51. Veltman, D., Hutton, C, Ashburner, J., & Henson, R. (2001). SPM99 Manual, http://www.fil.ion.ucl.ac.uk/spm