• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.635-637
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• 2017

The perception that programming is difficult is spread among learners. Indeed, in college education, the dropout rate of programming classes is higher than in other courses. Therefore, it is necessary to analyze the cognitive aspects of why learners think programming is difficult and then to propose appropriate teaching strategies for them. Recently, studies are under way to understand how the brain learns and is most effective in what situations, based on the development of brain science. This is the study of brain-compatible learning. The purpose of this study is to propose an instructional design on programming lessons based on brain-compatible learning principles.

• Journal of Korean Elementary Science Education
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• v.26 no.1
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• pp.49-62
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• 2007

The higher cognitive functions of the human brain including teaming are hypothesized to be selectively distributed across large-scale neural networks interconnected to the cortical and subcortical areas. Recently, advances in functional imaging have made it possible to visualize the brain areas activated by certain cognitive activities in vivo. Neural substrates for teaming and motivation have also begun to be revealed. Functional magnetic resonance imaging (fMRI) provides a non-invasive indirect mapping of cerebral activity, based on the blood- oxygen level dependent (BOLD) contrast which is based on the localized hemodynamic changes following neural activities in certain areas of the brain. The fMRI method is now becoming an essential tool used to define the neuro-functional mechanisms of higher brain functions such as memory, language, attention, learning, plasticity and emotion. Further research in the field of education will accelerate the verification of the effects on loaming or help in the selection of model teaching strategies. Thus, the purpose of this study was to review brain study methods using fMRI in science education. In conclusion, a number of possible strategies using fMRI for the study of elementary science education were suggested.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.41-47
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• 2020

This study aims to investigate effects of brain-based learning. 27 primary studies were selected through rigorous search process and analyzed through meta-analytic methods. Research findings are as follows. First, the total effect size was .67. Second, the effect of dependent variables was academic achievement, cognitive domain, and affective domain in order. Third, with respect to types of cognitive domain, the effect was self-regulation, creativity, competence, communication, and research ability in order. Fourth, the effect of affective domains was sociality, learning interest, and subject attitude in order. Fifth, regarding development of cognitive ability, the effect size was combined, brain training, learning environments, and right brain activities in order. Sixth, the effect of learning activities was memory improvement and attention enhancement in order.

• Journal of Korea Multimedia Society
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• v.24 no.4
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• pp.519-527
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• 2021

Alzheimer's disease is one of the challenges to tackle in the coming aging era and is attempting to diagnose and predict through various biomarkers. While the application of various deep learning-based technologies as powerful imaging technologies has recently expanded across the medical industry, empirical design is not easy because there are various deep earning neural networks architecture and categorical hyperparameters that rely on problems and data to solve. In this paper, we show the possibility of optimizing a deep learning neural network structure and hyperparameters for Alzheimer's disease classification in amyloid brain images in a representative deep earning neural networks architecture using genetic algorithms. It was observed that the optimal deep learning neural network structure and hyperparameter were chosen as the values of the experiment were converging.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.311-320
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• 2021

At present, the secondary school teacher employment examination(SSTEE) is the only gateway to become a national and public secondary teacher in Korea, and after the revision from the 2014 academic year, all the questions of the exam have been converted to supply-type test items, requiring more definitive, accurate, and solid answers. Compared to the selection-type test items that measure recognition memory, the supply-type questions, testing recall memory, require constant memorization and retrieval practices to furnish answers; however, there is not enough learning tools available to support the practices. At this juncture, this study invented a mobile app, called ONE PASS, for the SSTEE. By unpacking the functional mechanisms of the brain, the basis of cognitive processing, this ONE PASS app offers a set of tools that feature brain-based learning principles, such as a personalized study planner, motivation measurement scales, mind mapping, brainstorming, and sample questions from previous tests. This study is expected to contribute to the research on the development of learning contents for applications, and at the same time, it hopes to be of some help for candidates in their exam preparation process.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.145-153
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• 2016

The purpose of this study is to suggest a suitable learning style for 300 college students who are attending Duniversity in Jeonnam providence according to QSSC(Questionnaire of Sasang Contribution Classification), major and brain dominance after finding out the difference of learning style according to Sasang constitution and major and brain dominance according to major. First, Soyangin's learning style was found out extroversion -type, but soeumin's learning style was found out introvert type. There was difference on physical type on learning style according to major. Third, there were found difference for a few questionnaire of the dominance of brain. According to above findings, The results of study suggest that we need to develop a unique teaching method which based on learners constitution and major instead of uniform teaching method.

• 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 Korea Multimedia Society
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• v.24 no.2
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• pp.295-304
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• 2021

Learning assistance system that continuously measures user's concentration will be helpful to grasp the concentration pattern and adjust the learning method accordingly to improve the learning efficiency. Although a lot of various learning aids have been proposed, there have been few studies on the concentration monitoring system in real time. Therefore, in this study, we developed an Android-based mobile application that can measure concentration during study by using functional near-infrared spectroscopy, which is used to measure brain activity. First, the task accuracy was predicted at a maximum level of 93.75% from the prefrontal oxygenation characteristics measured while performing the visual Q&A task on 11 college students, and a concentration calculation formula based on a linear regression model was derived. Then, a survey on the usability of the mobile application was conducted, overall high satisfaction and positive opinions were obtained. From these findings, this application can be used as a customized learning aid application for users, and further, it can help educators improve the quality of classes based on the level of concentration of learners.

• Journal of Korean Elementary Science Education
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• v.32 no.1
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• pp.36-46
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• 2013

The creative thinking and emotional trainings are very important educational issues in the knowledge-information-based future society. Recently STEAM education is suggested as one of the educational solutions to prepare the future society. The aims of this study are to develop STEAM teaching-learning program and analyze its effects on the creativity and emotional intelligence of science-gifted and general students in elementary school. Four different subject matters based on the 2007-revised curriculum were selected to construct the brain-based STEAM teaching-learning program consisting of 12 class hours. The program was applied to 50 elementary general students and 19 science-gifted elementary students. The findings of this research are as follows. The brain-based STEAM programs is effective to improve the creativity and emotional intelligence of science-gifted and general elementary students after class. The creativity of two groups was not statistically different before the class. However after class, the creativity of gifted-science students is significantly higher than that of general students. The emotional intelligence of gifted-science students was higher than that of general students before the class. Therefore in oder to analyze the different effects of the program on two groups in emotional intelligence, the test results of both group of students were analyzed by ANCOVA after class. This analysis also showed that the program is more effective in gifted-science students to improve the emotional intelligence compared to general students.

• Journal of Korean Elementary Science Education
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• v.24 no.1
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• pp.86-101
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• 2005

In this study, a brain-basrd model for science teaching and learning was developed based on the natural processes which human acquire knowledge about a natural object or on event, the major domains of science educational objectives of the national curriculum, and the human brain's organizational patterns and functions. In the model, each educational objective domain is related to the brain regions as follows: The affective domain is related to the limbic system, especially amygdala of human brain which is involved in emotions, the psychomotor domain is related to the occipital lobes of human brain which perform visual processing, temporal lobes which perform functions of language generating and understandng, and parietal lobes which receive and process sensory information and execute motor activities of body, and the cognitive domain is related to the frontal and prefrontal lobes which are involved in think-ing, planning, judging, and problem solving. The model is a kind of procedural model which proceed fiom affective domain to psychomotor domain, and to cognitive domain of science educational objective system, and emphasize the order of each step and authentic assessment at each step. The model has both properties of circularity and network of activities. At classrooms, the model can be used as various forms according to subjects and student characteristics. STS themes can be appropriately covered by the model.