• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.215-222
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• 2017

The study aimed to determine the characteristics of human brains and to identify the students' aptitude and interests by developing and applying the program for recognizing students' desired future careers. A total of 135 students (59 elementary school children and 76 middle school adolescents) were surveyed for 2 days and 1 night. The study conclusions are as follows. First, the program proved effective in forming the constructive recognition for their future jobs because they could explore careers in the future and because they could raise their consciousness of perspectives on careers. Second, the program makes it possible to explore future jobs that are appropriate to them based on their aptitude and interests and to enhance their career competencies. Further research is required because more consideration is needed. First, the present research applied the same program to all student participants despite the differences in developmental levels. Therefore, future research needs to involve elements that reflect their distinct psychological proficiency levels. Second, to show the evidence of the effectiveness, further studies need to focus on diverse dependent variables that may influence the results other than their distinct psychological proficiency levels.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1645-1648
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• 2004

해마를 비롯하여, 뇌 기능과 밀접한 관련을 가지는 뇌 하위조직의 분석에 대한 최근 연구로 MR 영상 등의 해부학적 영상으로부터의 볼륨 추출, 형상 복원, 대칭성 비교 등을 들 수 있다. 이러한 연구들은 뇌의 해부학적 정보에만 의존함으로써 관심영역에 대한 신진대사 등의 분석에 한계를 가진다. 본 논문에서는 뇌 해마영역에 대하여 해부학적, 기능적 특성의 동시 분석이 가능한 프로시저를 제안한다. 먼저 해부학적 영상과 기능적 영상의 다중모달리티 영상정합을 수행하고 이를 기반으로 해마 SPECT 볼륨이 추출되며, 나아가 체적 측정 및 강도 분포 등의 정량분석을 수행함으로써 해부학적 영역의 기능정보에 대한 직관적이며 객관적인 분석이 가능하도록 하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.477-485
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• 2018

The aim of this study was to improve the 'self-directed learning ability and attitudeselementary school students by applying a brain education-based learning program based on brain science in the form of a short term camp in consideration of the elementary school students' brain characteristics and mechanisms. For this purpose, this study was conducted on 4, 5, and 6 elementary school students in Korea. The brain training based learning camp program was conducted for two nights and three days. The camps were conducted twice from February 3 to 5, 2017 with 45 students from grade 6 and from February 22 to July 24, 2017, with 56 students from grades 4 and 5, 101 students in total. The conclusions of this study are as follows. The brain education-based learning camp program was found to be effective in improving the elementary school students' self-directed learning ability and learning attitude. First, the brain education-based learning camp program can increase the learning concentration through brain gymnastics, breathing, and meditation. Second, brain training called 'Brain Screen' among the brain education-based learning camp program can improve the brain ability of memory. Third, it can establish a self - directed learning philosophy of 'My study is done by me' by giving reason and motivation to study through the brain education-based learning camp program.

• 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 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.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.206-209
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• 2002

의료 영상 처리 시스템에서는 영상들의 검색이 중요한 문제로 대두되고 있다. 그에 대한 해결 방법으로는 의료 영상 처리 시스템에 지능적인 내용 기반의 영상 검색 방법을 도입하는 것이다. 본 연구에서는 의료 영상에 적합한 분할 방법을 사용하여 뇌의 MR 영상에 대하여 내용기반 검색을 하기 위한 영상 특징 색인화 방법을 제안한다. 제안하는 색인화 방법은 뇌 MR 영상에서 뇌영역을 분할하고 특징들을 추출한 후 이 정보를 가지고 대상 영상의 그룹핑 정보를 유추하고, 각 대상 영상에서의 비정상 후보 영역 위치를 찾아내어 3차원 공간 색인을 하는 방법이다.

• Journal of The Korean Association of Information Education
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• v.15 no.4
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• pp.635-644
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• 2011

This research analyzed the brainwave activities and brain hemispherity to find out any implications to design the connections between the activities of the brain function and the computerized arithmetic addition in two difficulty levels: easy: 1-5 vs. hard: 6-9. Thus, in developing the brain based math learning for the computer education by implicit association test(IAT) indicated the significant results for the exclusive brain location and the brain hemispherity on the theta, alpha, low alpha, beta brainwaves by QEEG analysis. The results of this study physiologically supported the theoretical background for the computerized math learning skills as well as the math learning material development. It shows the difficulty levels of math information education and the brain activities on cognitive process of the learner continued on the possible investigation of the brain science.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.201-204
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• 2012

최근 우리나라 사회가 고령화로 진행함에 따라 노인성 질환인 치매 환자가 증가하고 있는 추세이다. 치매를 진단하기 위한 방법으로는 뇌 MR 영상을 사용하여 치매에 의해 영향을 받는 특정 뇌 영역인 해마의 위축률을 기반으로 진단 할 수 있다는 보고가 있다. 본 연구에서는 치매 환자 위한 보조적 판별 시스템 개발의 예비 연구로써 뇌 MR 영상 데이터를 3차원으로 가시화하는 것이 목적이며, 최근 대용량으로 획득되는 MR 영상을 고속으로 처리하기 위하여 CUDA를 사용한 병렬 컴퓨팅 구축을 하고 FPS(Frame Per Second)를 측정하여 유용성을 평가하고자 한다.

• Korean Journal of Cognitive Science
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• v.21 no.2
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• pp.309-338
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• 2010

In this paper, we studied the brain-computer interface (BCI). BCIs help severely disabled people to control external devices by analyzing their brain signals evoked from motor imageries. The findings in the field of neurophysiology revealed that the power of $\beta$(14-26 Hz) and $\mu$(8-12 Hz) rhythms decreases or increases in synchrony of the underlying neuronal populations in the sensorymotor cortex when people imagine the movement of their body parts. These are called Event-Related Desynchronization / Synchronization (ERD/ERS), respectively. We implemented a BCI-based mouse interface system which enabled subjects to control a computer mouse cursor into four different directions (e.g., up, down, left, and right) by analyzing brain signal patterns online. Tongue, foot, left-hand, and right-hand motor imageries were utilized to stimulate a human brain. We used a non-invasive EEG which records brain's spontaneous electrical activity over a short period of time by placing electrodes on the scalp. Because of the nature of the EEG signals, i.e., low amplitude and vulnerability to artifacts and noise, it is hard to analyze and classify brain signals measured by EEG directly. In order to overcome these obstacles, we applied statistical machine-learning techniques. We could achieve high performance in the classification of four motor imageries by employing Common Spatial Pattern (CSP) and Linear Discriminant Analysis (LDA) which transformed input EEG signals into a new coordinate system making the variances among different motor imagery signals maximized for easy classification. From the inspection of the topographies of the results, we could also confirm ERD/ERS appeared at different brain areas for different motor imageries showing the correspondence with the anatomical and neurophysiological knowledge.