• Journal of Digital Convergence
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• v.14 no.7
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• pp.355-362
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• 2016

This research analyzed 'esquisse', that is one of among the visual representation tools of designers in design-thinking process. They were classified into five different types(M, N, O, P, Q) and categorized about preferred type of brain dominance area based on Ned Herrmann's 'Brain 4 division theory'. By contrasting and analyzing five types of sketch tendencies and brain tendencies through Structural left -brain type(M), Emotional limbic-brain type(N), Visual right-brain type(O), Plane expressional right-brain type(P) and Text expressional right-brain type(Q), it was deduced that which utilization the designer with each brain type with various Styles and characteristics shows internally in the design thinking process can be analyzed.

• Journal of The Korean Association For Science Education
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• v.30 no.5
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• pp.647-667
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• 2010

The purpose of this study was to develop a brain-based analysis framework for evaluating teachinglearning program in science. To develop the framework, this study categorized educational constructs of the teachinglearning programs into one of three teaching-learning factors: cognition, motive, and emotion, using previous studies on science program. Ninety-three articles on the brain functions associated with science program were analyzed to extract brain activation regions related to the three educational constructs. After delineating the brain activation regions, we designed the brain function map, "the CORE Brain Map." Based on this brain map, we developed a brain-based analysis framework for evaluating science teaching-learning program using R & D processes. This framework consists of the brain regions, the bilateral dorsolateral prefrontal cortex, the bilateral ventrolateral prefrontal cortex, the bilateral orbitofrontal cortex, the anterior cingulate gyrus, the bilateral parietal cortex, the bilateral temporal cortex, the bilateral occipital cortex, the bilateral hippocampus, the bilateral amygdala, the bilateral nucleus accumbens, the bilateral striatum and the midbrain regions. These brain regions are associated with the aforementioned three educational factors; cognition, motivation, and emotion. The framework could be applied to the analysis and diagnosis of various teaching and learning programs in science.

• Journal of The Korean Association For Science Education
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• v.30 no.4
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• pp.487-497
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• 2010

The purpose of this study was to investigate how a teaching approach influences student's ability of classification at the brain level. Twenty four healthy and right-handed college students participated in this study, which investigated a brain plasticity associated with category-generation and -understanding in classification learning. The participants were divided into one of two groups, one each for category-generation and -understanding learning programs, which were composed of twelve topics taught over a twelve-week period. To measure the change in student competence and brain activations, a paper and pencil test and an fMRI scanning session were administered before and after the training programs. Unlike the understanding group, the generation group showed significant changes in classification ability quotients and learning-related brain activations (cerebral cortex and basal ganglia were increased and prefrontal cortex and parahippocampal gyrus were decreased). Nevertheless, the understanding group showed an increased activation in the cerebral cortex and parahippocampal gyrus and a decreased activation in the right prefrontal cortex and cerebellum. Therefore, it can be concluded that teaching styles could influence students' brain activation patterns and classification ability. The results might also be used to develop a brain-compatible science education curriculum.

• Journal of The Korean Association For Science Education
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• v.27 no.1
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• pp.93-104
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• 2007

The purpose of this study is to investigate brain activity both during the processing of a scientific hypothesis about biological phenomena and mental arithmetic using 3.0T fMRI at the KAIST. For this study, 16 healthy male subjects participated voluntarily. Each subject's functional brain images by performing a scientific hypothesis task and a mental arithmetic task for 684 seconds were measured. After the fMRI measuring, verbal reports were collected to ensure the reliability of brain image data. This data, which were found to be adequate based on the results of analyzing verbal reports, were all included in the statistical analysis. When the data were statistically analyzed using SPM2 software, the scientific hypothesis generating process was found to have independent brain network different from the mental arithmetic process. In the scientific hypothesis process, we can infer that there is the process of encoding semantic derived from the fusiform gyrus through question-situation analysis in the pre-frontal lobe. In the mental arithmetic process, the area combining pre-frontal and parietal lobes plays an important role, and the parietal lobe is considered to be involved in skillfulness. In addition, the scientific hypothesis process was found to be accompanied by scientific emotion. These results enabled the examination of the scientific hypothesis process from the cognitive neuroscience perspective, and may be used as basic materials for developing a learning program for scientific hypothesis generation. In addition, this program can be proposed as a model of scientific brain-based learning.

• Journal of The Korean Association For Science Education
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• v.29 no.6
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• pp.730-740
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• 2009

The purpose of this study was to investigate secondary science teachers' brain activation and functional connectivity during scientific observation on the biological phenomena. Twenty six right-handed healthy science teachers volunteered to be in the present study. To investigate science teachers' brain activities during the tasks, 3.0T fMRI system with block design was used to measure BOLD signals in their brains. The SPM2 software package was applied to analyze the acquired initial image data from the fMRI system. The results have shown that the left inferior frontal gyrus, the bilateral superior parietal lobule, the left inferior parietal lobule, the left precuneus, the left superior occipital gyrus, the right middle occipital gyrus, the right precuneus, the left inferior occipital gyrus and bilateral fusiform gyrus were significantly activated during participants' scientific observation. The network model consisted of eleven nodes (ROIs) and its ten connections. These results suggested the notion that scientific observation needs a connective cooperation among several brain regions associated with observing over just a sensory receiving process.

• Archives of design research
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• v.13 no.1
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• pp.157-166
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• 2000

Since the cognitive science developed as a brandl of academic researdl, studies on human brains have flourished. Emotional features have been centered on the field of design, and the development of the design process has been diversified that makes use of the factors. The purpose of this study is to reflect the current trend and to convert the results into a method for designing. The researdl is based on the mind map techniques which spread like a trendy fashion, and tries to supply a theoretical explanation of how to overcome the fixed idea. Recognizing the importance of learned information in approaching a problem, I regarded the roles of left and right brain as analogue and digital images interpreting them by freely crossing language(digital images) and visual thought (analogue images), using mapping tedlniques. I pursued the research goal of the techniques focusing on the idea of using mapping. As a result of this. I established a logic system [figure 8] in that a proposition which starts as a problem introduction goes on until a problem solution, which is visualized with concept presentation, using a brainstorming technique. According to the suggested concept. I concluded that idea proliferation as a design demand can be solved by applying mapping techniques like one shown in figure 12.

• Journal of The Korean Association For Science Education
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• v.26 no.4
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• pp.568-580
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• 2006

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.

• Electronics and Telecommunications Trends
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• v.24 no.5
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• pp.1-9
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• 2009

정부는 2017년까지 뇌 연구분야 세계 7위 진입을 목표로 연구개발 인프라 인력양성 등의 분야에 2009년에 총 610억 원을 투자한다. 인간의 뇌 정보를 활용할 수 있는 인지 메커니즘에 대한 분석이 이루어진다면, 인간과 같이 스스로 생각하고 느끼는 수준의 인공두뇌 및 인간형 로봇 개발이 가능하게 되고, 생각만으로 제어하는 뇌-컴퓨터 뇌-로봇 뇌-기계 인터페이스 기술로 사용자의 뇌파 혹은 신경 근육신호 등에 따라 알아서 움직이는 휠체어나 인공수족, 자동차, 비행기 등이 가까운 시일 내에 실현될 것으로 기대된다. 이에 인지과학의 한 분야인 증강인지(augmented cognitive)와 HCI 기술의 교집합 영역에서의 응용연구 이슈를 탐색하기 위해 인지과학의 개요, 증강인지의 출현 증강인지 시스템 모델, 프로젝트 사례 등에 대한 자료 수집 및 분석 내용을 본 고에 서술코자 한다.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.155-161
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• 2019

Electroencephalography (EEG), a representative method of identifying temporal and spatial changes in brain activity, is a voluntary electrical activity measurable in the human scalp. Various interface technologies have been provided to control EEG activity, and it is possible to operate a machine such as a wheelchair or a robot through brainwaves. The characteristics of EEG data are collected in various types of channels in real time, and a server system for analyzing them is required to have an independent and lightweight system for the platform. In these days, the Spring platform is used as a large business server as an independent, lightweight server system. In this paper, we propose an EEG analysis system using the Spring server system. Using the proposed system, the reliability of EEG control can be enhanced, and analysis and control interface expansion can be provided in various aspects such as game and medical areas.

• Journal of Science Education
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• v.33 no.2
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• pp.336-345
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• 2009

The purpose of this study is to analysis ERF components patterns of causal questions generated during the observation of biological phenomenon. First, the system that shows pictures causing causal questions based on biological phenomenon (evoked picture system) was developed in a way of cognitive psychology. The ERF patterns of causal questions based on time-series brain processing was observed using MEG. The evoked picture system was developed by R&D method consisting of scientific education experts and researchers. Tasks were classified into animal (A), microbe (M), and plant (P) tasks according to biological species and into interaction (I), all (A), and part (P) based on the interaction between different species. According to the collaboration with MEG team in the hospital of Seoul National University, the paradigm of MEG task was developed. MEG data about the generation of scientific questions in 5 female graduate student were collected. For examining the unique characteristic of causal question, MEG ERF components were analyzed. As a result, total 100 pictures were produced by evoked picture and 4 ERF components, M1(100~130ms), M2(220~280ms), M3(320~390ms), M4(460~520ms). The present study could guide personalized teaching-learning method through the application and development of scientific question learning program.