fMRI 분석을 활용한 두뇌 연결망 기반 생물 분류 학습 모형 개발

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참고문헌 (87)

1. Anderson, J. R., "The adaptive nature of human categorization", Psychological Review, 98(3), pp.409~429 (1991)
2. Ansari, D., "Bridges over troubled waters: education and cognitive neuroscience", Trends in Cognitive Science, 10(4), pp.146~151 (2006)
3. Ashby, F. G., "Attention and Implicit Learning", pp.109~141 (2003), John Benjamins Publishing Company
4. Babai, R., "Persistence of the intuitive conception of living things in adolescence", Journal of Science Education and Technology, 19, pp.20~26 (2010)
5. Bear, M. F., "Neuroscience: Exploring the Brain" (2001), Lippincott Williams & Wilkins
6. Blair, M. R., "Extremely selective attention: Eye-tracking studies of the dynamic allocation of attention to stimulus features in categorization", Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, pp.1196~1206 (2009)
7. Brid, C. M., "Categorical encoding of color in the brain", Processings of the National Academy of Sciences of the United States of America, 111, pp.4590~4595 (2014)
8. Brincat, S. L., "Gradual progression from sensory to task-related processing in cerebral cortex", Proceedings of the National Academy of Sciences of the United States of America, 115(30), pp.E7202~E7211 (2018)
9. Brouwer, G. J., "Categorical clustering of the neural representation of color", The Journal of Neuroscience, 33, pp.15454~15465 (2013)
10. Browne, M. W., "Testing Structural Equation Models" (1993), Sage
11. Bush, G., "Learning about learning", Teacher Librarian, 34(2), pp.14~18 (2006)
12. 변정호, "Brain activation pattern and functional connectivity network during classification on the living organisms", 한국과학교육학회지, 29(7), pp.751~758 (2009), 한국과학교육학회
13. 변정호, "Explicit Categorization Ability Predictor for Biology Classification using fMRI", 한국과학교육학회지, 32(3), pp.524~531 (2012), 한국과학교육학회[DOI]
14. 변정호, "생물 분류 과정의 두뇌 활성 비교를 통한 과학고 학생과 일반고 학생의 인지적 사고 과정의 차이 규명", 생물교육, 42(2), pp.194~207 (2014), 한국생물교육학회[DOI]
15. Carpenter, K. L., "A comparison of the neural correlates that underlie rule-based and information-integration category learning", Human Brain Mapping, 37(10), pp.3357~3574 (2016)
16. 장지은, "과학 창의성 향상을 위한 고등학교 생물 분류 단원 수업 프로그램의 개발과 적용", 생물교육, 33(4), pp.505~516 (2005), 한국생물교육학회
17. Chen, Y. G., "Hemispheric asymmetry : Looking for a novel signature of the modulation of spatial attention in multisensory processing", Psychonomic Bulletin & Review, 24, pp.690~707 (2017)
18. 정혜리, "논변활동을 활용한 ‘생물 분류 체계의 변화’ 교육 프로그램 개발", 생물교육, 44(3), pp.463~476 (2016), 한국생물교육학회[DOI]
19. 최현동, "초등학교 6학년의 인공자극과 자연자극에 대한 분류 사고", 한국과학교육학회지, 26(1), pp.40~48 (2006), 한국과학교육학회
20. 최선미, "초등학생들의 경향성 지식 생성 과정 분석을 통한지수 산출식 개발", 한국초등교육, 26(4), pp.327~347 (2015), 초등교육연구원[DOI]
21. Dang S., "Learning effective connectivity from fMRI using autoregressive hidden Markov model with missing data", Journal of Neuroscience Methods, 278, pp.87~100 (2017)
22. Dong, H. K., "Content’s connectivity between high school science textbooks and middle school science textbooks", Brain, Digital, & Learning, 7(3), pp.159~173 (2017)
23. Edmunds, C. E. R., "Due process in dual process: Model-recovery simulations of decision-bound strategy analysis in category learning", Cognitive Science, 42, pp.833~860 (2018)
24. Folstein, J. R., "Category learning stretches neural representations in visual cortex", Current Directions in Psychological Science, 24(1), pp.17~23 (2015)
25. Freedberg, M., "Comparing the effects of positive and negative feedback in information-integration category learning", Memory & Cognition, 45(1), pp.12~25 (2017)
26. Freedman, D. J., "Categorical representation of visual stimuli in the primate prefrontal cortex", Science, 291, pp.312~316 (2001)
27. Freitas, L. G. A., "Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-activation patterns", Neuroimage, 212, pp.116635~ (2020)
28. Friston, K., "Dynamic causal modeling", Neuroimage, 19, pp.1273~1302 (2003)
29. Genovese, C. R., "Thresholding of statistical maps in functional neuroimaging using the false discovery rate", NeuroImage, 15, pp.870~878 (2002)
30. Gilbert, C. D., "Top-down influences on visual processing", Nature Review Neuroscience, 14(5), pp.350~363 (2013)
31. Gonzalez-Castillo, J., "Taskbased dynamic functional connectivity : Recent findings and open questions", Neuroimage, 180, pp.526~533 (2018)
32. Goswami, U., "Educational neuroscience : neural structure-mapping and the promise of oscillations", Current Opinion in Behavioral Science, 10, pp.89~96 (2016)
33. Grossman, M., "Category-specific effects in semantic memory : Category-task interactions suggested by fMRI", NeuroImage, 30, pp.1003~1009 (2006)
34. 함영은, "식물의 형태에 관한 놀이 학습이 초등학생들의 관찰 및 분류능력에 미치는 영향", 생물교육, 44(2), pp.312~323 (2016), 한국생물교육학회[DOI]
35. Hamers, J. M., "Inductive reasoning in third grade : Intervention promises and constraints", Contemporary Educational Psychology, 23, pp.132~148 (1998)
36. Hammer, R., "Comparison processes in category learning : From theory to behavior", Brain Research, 1225, pp.102~118 (2008)
37. Han, H., "Connecting levels of analysis in educational neuroscience : A review of multilevel structure of educational neuroscience with concrete examples", Trends in Neuroscience and Education, 17, pp.100113~ (2019)
38. Hare, T. A., "Transformation of stimulus value signals into motor commands during simple choice", Proceedings of the National Academy of Sciences United States of America, 108, pp.18120~18125 (2011)
39. Honey. J. N., "The importance of taxonomy in biological education at advanced level", Journal of Biological Education, 20(2), pp.103~111 (1986)
40. Howard-Jones, P. A., "Neuroscience and education : Myths and messages", Nature Review Neuroscience, 15, pp.817~824 (2014)
41. Huettel, S. A., "Functional Magnetic Resonance Imaging" (2004), Sinauer Associates, Inc
42. Inagaki, K., "Young children’s conception of the biological world", Current Directions in Psychological Science, 15, pp.177~181 (2006)
43. Jacob, E. K., "Classification and Categorization: A difference that makes a difference", Library Trends, 52(3), pp.515~540 (2004)
44. 전예름, "초등학생의 인지양식에 따른 안구운동기반 생물분류 사고과정 모형 개발", 생물교육, 45(2), pp.244~258 (2017), 한국생물교육학회[DOI]
45. Jiang, X., "Categorization training results in shape and category-selective human neural plasticity", Neuron, 53, pp.891~903 (2007)
46. 조준호, "A Study on the Neuroscience and Scientific Reasoning", Brain, Digital, & Learning, 8(2), pp.63~67 (2018), 뇌·AI기반교육연구소[DOI]
47. 조은별, "초등학생의 귀납적 과학지식 생성능력 평가를 위한 서술형 지필과제 및 지수 산출식의 개발 - 오리 관찰 및 분류과제를 중심으로 -", 생물교육, 44(4), pp.723~738 (2016), 한국생물교육학회[DOI]
48. 조은미, "생물 계통수 생성의 사고 과정 모형 개발", 생물교육, 33(1), pp.13~22 (2005), 한국생물교육학회
49. Kahnt, T., "Decoding different roles for vmPFC and dlPFC in multiattribute decision making", Neuroimage, 56, pp.709~715 (2010)
50. 김은경, "고등학생을 대상으로 한 생물 분류 학습을 위한 실생활 소재 활용 문제중심학습 프로그램 개발", 현장과학교육, 12(1), pp.59~74 (2018), 한국현장과학교육학회[DOI]
51. 김혜진, "2015 개정 교육과정에 따른 중학교 2학년 교과서의 과학교육 목표 분석- Klopfer의 교육목표 분류 중심으로 -", Brain, Digital, & Learning, 10(1), pp.123~135 (2020), 뇌·AI기반교육연구소[DOI]
52. 김희경, "우리나라 과학 교과서에 나타난 기초 탐구 과정 분석: 분류, 예상 및 추리 탐구 요소를 중심으로", 초등과학교육, 26(5), pp.499~508 (2007), 한국초등과학교육학회
53. 김흥태, "문제중심학습(Problem-Based Learning)을 활용한 예비 생물교사 대상의 식물분류학 수업 사례 연구", 생물교육, 47(4), pp.522~534 (2019), 한국생물교육학회[DOI]
54. Kim, S. M., "The conceptions of homeostasis, classification of animals and plants, and food production in plants of students and the teacher factor as a possible source of students’ misconception", The Korean Association for Science Education, 17(3), pp.261~271 (1997)
55. Koscik, T. R., "Decomposing the neural pathways in a simple, value-based choice", Neuroimage, 214, pp.116764~ (2020)
56. Krell, J., "Bridging the gap between theory and practice in neurofeedback training for attention", Mind, Brain, and Education, 13(4), pp.246~260 (2019)
57. Kruschke, J. K., "ALCOVE : An exemplar-based connectionist model of category learning", Psychological Review, 99, pp.22~44 (1992)
58. 권용주, "대학생들의 귀납적 탐구에서 나타난 과학적 사고의 유형과 과정", 한국과학교육학회지, 23(3), pp.286~298 (2003), 한국과학교육학회
59. Kwon, Y. J., "Development of the classification ability quotient equation through the analysis of science teachers` classification knowledge generated in the pollen classification task", Secondary Education, 55(3), pp.21~43 (2007)
60. 이경현, "분류 과제 속성에 따른 소집단 논변의 추론 양상 차이", 생물교육, 40(3), pp.344~356 (2012), 한국생물교육학회[DOI]
61. 이영미, "교육과정 개정에 따른 학교 급별 생물 분류 내용의 변천", 생물교육, 47(1), pp.87~96 (2019), 한국생물교육학회[DOI]
62. Levy, I., "Neural representation of subjective value under risk and ambiguity", Journal of Neurophysiology, 103, pp.1036~1047 (2010)
63. Maddox, W. T., "Rule-based and information-i ntegration category learning in normal aging", Neuropsychologia, 48, pp.2998~3008 (2010)
64. Milton, F., "The neural correlates of similarity-and rule-based generalization", Journal of Cognitive Neuroscience, 29(1), pp.150~166 (2017)
65. Noh, S. M., "Multilevel induction of categories : Venomous snakes hijack the learning of lower category levels", Psychological Science, 25, pp.1592~1599 (2014)
66. Nosofsky, R. M., "On learning natural-science categories that violate the family-resemblance principle", Psychological Science, 28, pp.104~114 (2017)
67. Nosofsky, R. M., "Learning hierarchically organized science categories: Simultaneous instruction at the high and subtype levels", Cognitive Research Principles and Implications, 4, pp.48~ (2019)
68. Oya, H., "Mapping effective connectivity in the human brain with concurrent intracranial electrical stimulation and BOLD-fMRI", Journal of Neuroscience Methods, 277, pp.101~112 (2017)
69. Paniukov, D., "The evaluative role of rostolateral prefrontal cortex in rule-based category learning", Neuroimage, 166, pp.19~31 (2018)
70. 박경화, "제 7차 교육과정에 의한 고등학교 생물Ⅱ 교과서의 동물분류단원에 대한 분석", 생물교육, 31(2), pp.157~169 (2003), 한국생물교육학회
71. Park, H. J., "Structural and functional brain networks : From connections to cognition", Science, 342(6158), pp.1238411~1238418 (2013)
72. 박기석, "천리포 해안가 동물을 이용한 야외 학습 프로그램 개발- 해양 동물 분류를 중심으로 -", 생물교육, 35(3), pp.452~463 (2007), 한국생물교육학회[DOI]
73. 박기석, "절지동물의 분류를 위한 단계적인 분류 학습 프로그램 개발", 현장과학교육, 5(2), pp.92~108 (2011), 한국현장과학교육학회[DOI]
74. Persichetti, A. S., "Functional magnetic resonance imaging adaptation reveals a noncategorical representation of hue in early visual cortex", Journal of Vision, 15, pp.18~ (2015)
75. Seger, C. A., "How do the basal ganglia contribute to categorization? Their roles in generalization, response selection, and learning via feedback", Neuroscience and Biobehavioral Review, 32, pp.265~278 (2008)
76. Seger, C. A., "Category learning in the Brain", Annual Review of Neuroscience, 33, pp.203~219 (2010)
77. Seger, C. A., "Categorization =decision making+generalization", Neuroscience and Biobehavioral Reviews, 37, pp.1187~1200 (2013)
78. Sidua-Krzywicka, K., "The biological based of colour categorization : From goldfish to the human brain", CORTEX, 118, pp.82~106 (2019)
79. Siegel, M., "Cortical information flow during flexible sensorimotor decisions", Science, 348(6241), pp.1352~1355 (2015)
80. Sim, J. H., "The teaching effect based on psychological hierarchy of the middle school students in the botanical classification concepts", Biology Education, 24(2), pp.199~209 (1996)
81. Swaminathan, S. K., "Preferential encoding of visual categories in parietal cortex compared with prefrontal cortex", Nature Neuroscience, 15, pp.315~320 (2012)
82. Talairach, J., "Co-Planner Stereotaxic atlas of the Human Brain" (1988), Thieme Medical publisher, Inc
83. Wutz, A., "Different levels of category abstraction by different dynamics in different prefrontal areas", Neuron, 97, pp.716~726 (2018)
84. 양일호, "예비 초등 교사들의 분류 활동에서 나타난 분류 기준의 유형과 분류 전략의 특징", 초등과학교육, 27(1), pp.9~22 (2008), 한국초등과학교육학회
85. Zadina, J. N., "The emerging role of educaitonal neuroscience in education reform", Psicologia Educativa, 21, pp.71~77 (2015)
86. Zeithamova, D., "Brain mechanisms of concept learning", The Journal of Neuroscience, 39(42), pp.8259~8266 (2019)
87. Zhuang, J., "Mapping the connectivity with structural eqation modeling in an fMRI study of shape-from-motion task", Neuroimage, 42, pp.799~806 (2008)

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