• Korean Journal of Cognitive Science
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• v.17 no.4
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• pp.375-398
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• 2006

Humans learn by observing, hearing, imitating, doing, and feeling. The brain(cortex) is the central tore of this process. The recent rapid progress of brain science and the active interdisciplinary collaboration between brain science and cognitive science opens a new possibility. That is a new research Held called 'Brain-Based learning Science', 'Edutational Neuroscienre', or 'NeuroEduration' This study reviews the nature and basic assumptions of brain-based learning science, current directions in educational neuroscience research, the neuro-myths, educational implications of neuroscience, and a possibility of making a meaningful connection between brain science and education. Also the future prospects and limitations of the brain-based learning science are discussed.

• Journal of Korean Elementary Science Education
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• v.41 no.4
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• pp.616-626
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• 2022

This study aims to investigate the effect of the application of the brain-based learning model on the self-efficacy, creative problem-solving ability, and academic achievement of elementary school students in science classes. The participants consisted of 22 students from one class (experimental group) and 22 students from another class (comparison group) of J Elementary School in B Metropolitan city. The experimental group conducted science classes that applied the brain-based learning model, and the comparison group conducted general explanatory science classes according to textbooks and the guide books of the teachers. The study found that science classes that applied the brain-based learning model exerted positive effects on the three abovementioned skills. Based on the results, the study confirmed that the application of the model is an effective learning tool that increases the self-efficacy, creative problem-solving ability, and academic achievement of for elementary school students in science classes.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.459-465
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• 2000

최근 들어 인공지능과 뇌과학 분야의 연구성과를 힘입어 뇌의 기본기능을 이해하고 재구축하고자 하는 시도가 활발히 전개되고 있다. 뇌의 정보처리 기능을 실험관찰 방법으로 밝히고자 하는 신경과학, 마음의 정보 처리 기능을 역시 실험관찰 방법으로 이해하고자 하는 심리학, 그리고 정보처리모형의 구성법을 제시하는 컴퓨터과학을 통합함으로써 뇌와 마음의 작동을 정보과학의 입장에서 해명하고자 하는 접근방식이 현재 가장 가능성이 있다고 생각된다. 본 논문에서는 그와 같은 맥락에서 인공적으로 뇌를 구현하기 위하여 제안된 CAM-Brain을 소개하고, 로봇을 제어하는 문제에 적용한 예를 통하여 그 가능성을 보이고자 한다.

• Journal of Korean Elementary Science Education
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• v.40 no.2
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• pp.239-252
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• 2021

The purpose of this study is to develop an evolutionary STEAM education program based on the brain and to analyze its effects on scientific interest and scientific creativity of elementary school students. Four different topics based on four scientific fields (Physics, Chemistry, Biology and Earth Science) were derived from the science textbook under the 2015 revised curriculum to build a brain-based evolutionary STEAM education program. The research subjects were 90 fourth graders of S-elementary school located in Gyeonggi Province, Korea and they were divided into an experimental group of 45 students and a comparative group of 45 students. The main findings of this study are as follows. First, according to the independent samples t-test of scientific interest, no statistically significant difference were found between the two groups, but the brain-based evolutionary STEAM education had meaningful effect on improving 'interest in scientific learning' and 'anxiety about scientific learning'. Second, according to the paired samples t-test of scientific interest, the experimental group had significantly improved 'interest in science' but on the other hand, there was no effect on the comparative group. Third, scientific creativity and originality of the experimental group were significantly higher after the class than that of the comparative group. Fourth, although there were some significant differences between the two groups in scientific creativity after the class, both groups had improved scientific creativity between the results of pre and post test. Based on these results, we discuss implications for science education and STEAM education research.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.22 no.2
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• pp.5-19
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• 2004

사람의 뇌에 관한 연구는 고대 그리스 시대에서부터 제기 되어왔으며, 사람을 해부하여 인간의 뇌가 수많은 뉴런으로 이루어 졌다는 것을 밝혀내었다. 이 뉴런들의 활동에 의하여 전기적 신호가 발생한다는 것을 알았고, 인간의 모든 행동, 학습, 사고, 기억활동을 제어하는 뇌의 기능을 이해하기 위한 연구가 계속되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.407-408
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• 2009

fNIRS(functional Near Infrared Spectroscopy)는 비침습형 뇌기능 분석 시스템으로 뇌활성화 시 옥시 헤모글로빈(oxy-hemoglobin)과 디옥시헤모글로빈(deoxy-hemoglobin) 변화량을 측정할 수 있는 장치이다. 본 논문에서는 뇌기능 분석 장치인 fNIRS를 이용하여 피험자가 컴퓨터 게임 중에 어떤 뇌활성화 패턴을 보이는지를 실험하였다. 컴퓨터 게임 주의 및 집중 시 뇌의 전두엽(Frontal Lobe) 영역이 활성화 및 변화되는 것을 실험결과로 확인하였다. 그리고 게임 중 다른 사람이 피험자에게 개입을 하였을 때 전두엽의 활성화 영역이 다른 패턴을 보이는 것을 실험결과로 확인하였다.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.225-234
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• 2010

To investigate the role of positive emotion in education, we have reviewed the previous studies on positive emotion, learning and motivation. In the present study, we examined the definition of positive emotion, and influences of positive emotion on cognition, creativity, social relationship, psychological resource such as life satisfaction, and interactive relationship among positive emotion, motivation and learning. To investigate the role of positive emotion on motivation and learning more scientifically, we examined the recent results of neuroscience. In other words, we have reviewed diverse research on positive emotion, learning and motivation based on brain-based learning. We also examined the research of autonomy-supportive environment as the specific example of improving positive emotion. As one of the most effective methods for emotional education, we discussed brain-based learning, the new research field. As the future prospects, we discussed the implications, possibilities and limitations of brain-based learning.

• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.990-1010
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• 2009

To derive brain-based evolutionary educational principles, this study examined the studies on the structural and functional characteristics of human brain, the biological evolution occurring between- and within-organism, and the evolutionary attributes embedded in science itself and individual scientist's scientific activities. On the basis of the core characteristics of human brain and the framework of universal Darwinism or universal selectionism consisted of generation-test-retention (g-t-r) processes, a Model of Brain-based Evolutionary Scientific Teaching for Learning (BEST-L) was developed. The model consists of three components, three steps, and assessment part. The three components are the affective (A), behavioral (B), and cognitive (C) components. Each component consists of three steps of Diversifying $\rightarrow$ Emulating (Executing, Estimating, Evaluating) $\rightarrow$ Furthering (ABC-DEF). The model is 'brain-based' in the aspect of consecutive incorporation of the affective component which is based on limbic system of human brain associated with emotions, the behavioral component which is associated with the occipital lobes performing visual processing, temporal lobes performing functions of language generation and understanding, and parietal lobes, which receive and process sensory information and execute motor activities of the body, and the cognitive component which is based on the prefrontal lobes involved in thinking, planning, judging, and problem solving. On the other hand, the model is 'evolutionary' in the aspect of proceeding according to the processes of the diversifying step to generate variants in each component, the emulating step to test and select useful or valuable things among the variants, and the furthering step to extend or apply the selected things. For three components of ABC, to reflect the importance of emotional factors as a starting point in scientific activity as well as the dominant role of limbic system relative to cortex of brain, the model emphasizes the DARWIN (Driving Affective Realm for Whole Intellectual Network) approach.

• Journal of KIISE
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• v.43 no.1
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• pp.54-60
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• 2016

Brain gene expression information is closely related to the structural and functional characteristics of the brain. Thus, extensive research has been carried out on the relationship between gene expression patterns and the brain's structural organization. In this study, Principal Component Analysis was used to extract features of gene expression patterns, and genes were automatically classified by spatial distribution. Voxels were then clustered with classified specific region expressed genes. Finally, we visualized the clustering results for mouse hippocampal region gene expression with the Allen Brain Atlas. This experiment allowed us to classify the region-specific gene expression of the mouse hippocampal region and provided visualization of clustering results and a brain atlas in an integrated manner. This study has the potential to allow neuroscientists to search for experimental groups of genes more quickly and design an effective test according to the new form of data. It is also expected that it will enable the discovery of a more specific sub-region beyond the current known anatomical regions of the brain.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.240-248
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• 2020

Over the past 20 years, brain science has developed rapidly thanks to new technologies such as functional magnetic resonance imaging (fMRI), leading to more accurate knowledge of human nature and behavioral changes. This knowledge is also actively applied in the field of management. This research aimed to gain insights into how neuroscience can be incorporated into management through the case of Midas IT Co. This construction software company has a separate organization with the purpose of studying brain science, and it makes and implements human resource management policies based on brain science. The founder Lee Hyung-woo has a humanist management philosophy, and the company's brain science research supports that philosophy. The case study method was adopted as the research method, and procedures such as interviews and direct observation, participation observation, and document information were carried out. The company's human resource management system can be explained by a brain science model called "SCARF", which combines various neuroscience discoveries. As this model suggests, the company has improved the trust and satisfaction of its members by reducing threat of status and by increasing certainty, autonomy, relationship, and fairness in the workplace, resulting in the creation of a platform for creativity, integrity, and high performance.