• Journal of Gifted/Talented Education
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• v.21 no.1
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• pp.175-191
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• 2011

This study is to investigate the creative thinking style and it's leaning that normal students and scientifically gifted students use mainly at processing information. Right Brain vs Left Brain Creativity Test(R/LCT) and Brain Preference Indicator(BPI) is taken to investigate the creative thinking style of normal students(N=144) and scientifically gifted students(N=97). In the R/LCT, the normal students responded that they prefer to use right-brain thinking rather than left-brain thinking. But the scientifically gifted students prefer to left-brain thinking. The normal students showed most preference for Holistic Processing of right side brain and they did most avoiding for Verbal Processing of left side brain. The scientifically gifted students showed most preference for Logical Processing of left side brain. And they did most avoiding for Random Processing of right side brain. There was a meaningful difference between left side brain preference group and right side brain preference group on Sequential, Symbolic, Logical, Verbal, Random, Intuitive, Fantasy-oriented Processing of normal Students. But the scientifically gifted students showed a meaningful difference in right side brain processing mainly. In other word, all the scientifically gifted students took an lean processing in Logical, Symbolic, Linear Processing, etc. In sum, the scientifically gifted students are unequal in at processing information against the normal students. So it is required more appropriate teaching-learning method based on the creative thinking style and it's leaning for effective gifted education.

• Journal of Korean Elementary Science Education
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• v.33 no.4
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• pp.773-783
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• 2014

In National Curriculum of Science revised in 2007, the Free Inquiry was newly introduced to increase students' interest in science and to foster creativity by having students make their own question and find answer by themselves. The purpose of the study was to analyze characteristics, in cognitive domain, appeared in the processes of performing the Free Inquiry activities applying a brain-based evolutionary science teaching and learning principles. For this study, 106 fifth grade students participated, and they performed individually Free Inquiry activities. In order to characterize of the diversifying, estimating-evaluating-executing, and extending-applying activities in cognitive domain (C-DEF), the Free Inquiry diary constructed by the students, observations by a researcher, and interviews with the students were analyzed both quantitatively and qualitatively. The major results of this study were as follows: First, at C-D step, many students (71.5%) had difficulty in searching the meanings of their results and the contents of interpretations were at the level of simple description of their results. A few students (15.2%) derived interpretations based on causal relationships between specific variable and result. Also, the tendency that the numbers of interpretation about meaning of their results were increased as the scores of science attitude and achievement was appeared. Second, at C-E step, the students showed tendency of considering facts exactly explaining inquiry topic and being appliable to daily life rather than objectivity or accuracy of scientific knowledge. Third, at C-F step, there were three types of extension and application: simple repetition (8.2%), extension (64.0%), and upward application (17.6%) types. Based on these findings, implications for supporting appropriate interpretation, evaluation, and application of inquiry results are discussed.

• Annual Conference on Human and Language Technology
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• 2011.10a
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• pp.21-24
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• 2011

오늘날 정보통신기술의 발달로 스마트폰을 활용한 스마트러닝의 관심이 높아지고 있다. 하지만 부정적인 시각도 높아 긍정적인 학습효과를 제시하기 위해 많은 연구가 시도되고 있지만 대부분의 기존 연구에서는 이론적인 학습효과만을 제시하고 있어 긍정적인 학습효과를 증명하기에는 많은 부족함이 있다. 따라서 본 연구에서는 뇌파를 이용한 과학적인 근거를 제시하기 위하여 Mindset 장비를 이용하여 학습자의 Attention과 Meditation에 관한 뇌파를 분석하였다. 실험은 스마트폰을 활용한 학습과 기존의 종이를 활용한 학습으로 두 집단 간의 뇌파를 비교 분석 하였다. 실험 결과 스마트폰을 활용한 집단이 기존의 종이를 활용한 집단 보다 Meditation 뇌파가 지속적으로 높게 나타났으며 학습 시간이 지남에 따라 스마트폰을 활용한 집단의 Attention 뇌파가 높게 나타나 스마트폰을 활용한 학습이 학습자를 더욱 집중하게 만든다고 볼 수 있었다.

• 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.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.29 no.7
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• pp.508-514
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• 2018

An electroencephalogram (EEG) evaluates the electrical activity generated by brain cell interactions that occur during brain activity, and an EEG can evaluate the brain activity caused by hand movement. In this study, a 16-channel EEG was used to measure the EEG generated before and after hand movement. The measured data can be classified as a supervised learning model, a support vector machine (SVM). To shorten the learning time of the SVM, a feature extraction and vector dimension reduction by filtering is proposed that minimizes motion-related information loss and compresses EEG information. The classification results showed an average of 72.7% accuracy between the sitting position and the hand movement at the electrodes of the frontal lobe.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.37-44
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• 2023

As a primary technology of Industry 4.0, human-robot collaboration (HRC) requires additional measures to ensure worker safety. Previous studies on avoiding collisions between collaborative robots and workers mainly detect collisions based on sensors and cameras attached to the robot. This method requires complex algorithms to continuously track robots, people, and objects and has the disadvantage of not being able to respond quickly to changes in the work environment. The present study was conducted to implement a web-based platform that manages collaborative robots by recognizing the emotions of workers - specifically their perception of danger - in the collaborative process. To this end, we developed a web-based application that collects and stores emotion-related brain waves via a wearable device; a deep-learning model that extracts and classifies the characteristics of neutral, positive, and negative emotions; and an Internet-of-things (IoT) interface program that controls motor operation according to classified emotions. We conducted a comparative analysis of our system's performance using a public open dataset and a dataset collected through actual measurement, achieving validation accuracies of 96.8% and 70.7%, respectively.

• Journal of the Korean Society of Radiology
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• v.17 no.7
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• pp.1109-1114
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• 2023

This study investigated the effects of utilizing 3D printed teaching aids on academic achievement and learning motivation in a non-face-to-face learning environment during the COVID-19 pandemic. The study was divided into an experimental and a comparison group that applied traditional lecture-based teaching and self-directed learning using 3D printed teaching aids and videos. The results of the study showed that the experimental group using 3D printed brain puzzles improved their academic performance compared to the comparison group using traditional lectures. This may be due to the fact that visual and experiential learning helped students to acquire knowledge on their own. The brain puzzles provided an interesting learning experience for the students, and their overall satisfaction with the class was also positive. These results indicate that teaching with teaching aids can increase students' motivation to learn and improve their academic performance. Therefore, the active introduction of 3D printed teaching aids in the non-face-to-face learning environment caused by COVID-19 is expected to improve the quality of education through innovation in learner-centered teaching methods.

• Journal of Broadcast Engineering
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• v.28 no.3
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• pp.293-301
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• 2023

Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.

• Cartoon and Animation Studies
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• s.35
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• pp.1-27
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• 2014

This study is a process of studying an alternative educational model and a preceding analysis process of the study where a teaching method considering the brain function, learning and creative mechanism is applied with a perspective of effectively increasing the animation drawing ability. Recently, studies in each field of study is not simply limited to one major but are attempting to produce subdivided integrated educational contents through integrated study activities with other fields. It is because for any field, it has a complex structure of humanistic experience and this is the same for artistic fields. Especially, in the field of animation, a specialized area is subdivided so when looking only at the education related to the drawing, the items required for expertise should be clarified and the development of a systematic educational method is required. Therefore in this study, a literature study result to design the educational model suitable for professional characteristics of animation education method is proposed. The study aims to conceptualize and categorize the meaning of drawing that can refine the basic ability for education of animation field to suit the characteristics of majoring field. Afterwards, the components are derived through re-established concept of drawing and categories, and this becomes the basis for the process of materializing the study goal which is the follow-up work. As a result, the components are examined by defining the meaning of drawing as the motion drawing due to the characteristics of the picture contents field, and used as a basis for planning the educational model applied with brain scientific creative-learning principles.

• Journal of Korean Elementary Science Education
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• v.22 no.2
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• pp.156-162
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• 2003

The purpose of this study was to explore effects of 4MAT system program on the creativity, science achievement and science-related attitudesof elementary school students. 4MAT learning program is a model based on the whole brain learning including the learning styles and the cognitive specialization of left and right hemispheres. The study was conducted for 10 weeks during the 1998 second semester in H elementary school which is located in Incheon. 4MAT learning program was applied to the 5th and 6th grade students. One hundred 5th grade students and eighty three 6th grade students are selected for this study. The experimental group was taught in applying the 4MAT system, and the control group was taught by the traditional manner. The results of this study were as follows: There was a significant difference on creativity between the instruction by applying 4MAT system and the traditional instruction. In the 6th grade, there was a statistically significant difference on science achievement and science-related attitude. In the 5th grade, there was slightly increased, but statistically onsignificant. In conclusion, the instruction by applying 4MAT system was more effective in developing student's creativity than the traditional instruction in both grades.