• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.297-298
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• 2023

해상 사고 시 지상에서 통상적으로 사용하는 빛이나 전파가 투과하지 못하는 수중에서 수중 음향을 이용해 수백 m 이상의 원거리에서 실종자나 화물의 위치를 추적하기 위해 요구되는 조건들을 분석하고 이를 실증하기 위해 인체에 부착 가능한 크기의 소형 수중 음향 송신기와 이를 찾기 위해 수색 작전에 사용하는 수신기가 제작됐다. 이를 사용해 서해 상에서 1km 거리에서 음향 신호 수신을 확인했고 실제 현장에서 적용되기 위해 필요한 개선점들을 정리했다.

• The Journal of Korean Association of Computer Education
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• v.19 no.6
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• pp.45-54
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• 2016

The purpose of this study is to investigate the effects of Android application programming education to control Arduino using App Inventor on industrial high school students' creative and integrative thinking ability. We developed an instructional content based on integrative learning and creative problem-solving model and taught a class on it. The result of this study showed that there was a significant improvement in divergent thinking and motivation items among the sub elements of creative problem solving. In addition, students' survey on the integrated thinking has shown that many students think that they could design an IoT system applied to everyday life based on the knowledge they have learned in this class. Therefore, it can be confirmed that physical computing education using App Inventor and Arduino has a positive effect on students' creative and integrative thinking ability.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.1-11
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• 2019

The study was to investigation the correlation between critical thinking and problem-solving abilities of 320 dental hygiene students enrolled in H university, J region from June 1 to August 30, 2018. The data was analyzed by ANOVA, pearson's correlation and multiple regression using SPSS 18.0 program. The correlation between critical score 3.36 while problem solving ability score 3.41. The correlation between critical thinking problem-solving abilities of the subjects was statistically significant. The significant variables included problem-solving(${\beta}=0.107$)(p<0.05), academic performance(${\beta}=-0.081$)(p<0.05) with an explanatory power of 52.2%. It is necessary to develop a curriculum and learning method in improvement for critical thinking and problem-solving abilities change in educational environment of dental hygiene students.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.29-36
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• 2022

Computational thinking in the AI and Big Data era for digital society means a series of problem-solving methods that involve expressing problems and their solutions in ways that computers can execute. Computational thinking is an approach to solving problems, designing systems, and understanding human behavior by deriving basic concepts in computer science, and solving difficult problems and elusive puzzles for students. We recently studied 93 pre-service teachers who are currently a freshman at ◯◯ university. The results of the first semester class, the participants created a satisfactory algorithm of the video level. Also, the proposed model was found to contribute greatly to the understanding of the computational thinking of the students participating in the class.

• Convergence Security Journal
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• v.19 no.1
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• pp.87-95
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• 2019

The damage is increasing due to many encroachment accidents caused by increasingly sophisticated cyber attacks. Many institutions and businesses lack early response to invest a lot of resources in the infrastructure for incident detection. The initial response of an intrusion is to identify the route of attack, and many cyber attacks are targeted at software vulnerabilities. Therefore, analyzing the artifacts of a Windows system against software vulnerabilities and classifying the analyzed data can be utilized for rapid initial response. Therefore, the remaining artifacts upon entry of attacks by software are classified, and artifact grouping is presented for use in analysis of encroachment accidents.

• The Journal of Korean Association of Computer Education
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• v.19 no.2
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• pp.87-98
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• 2016

Our study is composed of Arduino robot assembly, board connecting and collaborative programming learning, and it is to evaluate their effect on improving secondary mathematics-science gifted students' convergence capability. Research results show that interpersonal skills, information-scientific creativity and integrative thinking disposition are improved. Further, by analyzing the relationship between the sub-elements of each thinking element, persistence and imagination for solving problems, interest of scientific information, openness, sense of adventure, a logical attitude, communication, productive skepticism and so on are extracted as important factors in convergence learning. Thus, as the result of our study, we know that gifted students conducted various thinking activities in their learning process to solve the problem, and it can be seen that convergence competencies are also improved significantly.

• The Mathematical Education
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• v.63 no.2
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• pp.255-272
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• 2024

This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.

• Journal of the Korean Chemical Society
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• v.60 no.3
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• pp.203-214
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• 2016

The purpose of this study was to investigate brain activation pattern and functional connectivity during convergence thinking based creative problem solving and chemistry problem solving to identify characteristic convergence thinking that is backbone of creative problem solving using functional magnetic resonance imaging(fMRI). A fMRI paradaigm inducing convergence thinking and chemistry problem solving was developed and adjusted on 17 highschool students, and brain activation image during task was analyzed. According to the results, superior frontal gyrus, middle frontal gyrus, inferior frontal gyrus, medial frontal gyrus, cingulate gyrus, precuneus and caudate nucleus body in left hemisphere and cuneus and caudate nucleus body in right hemisphere were significantly activated during convergence thinking. The other hand, middle frontal gyrus, medial frontal gyrus and caudate nucleus in left hemisphere and middle frontal gyrus, lingual gyrus, caudate nucleus, thalamus and culmen of cerebellum in right hemisphere were significantly activated during chemistry problem solving. As results of analysis functional connectivity, all of areas activated during convergence thinking were functionaly connected, whereas scanty connectivity of chemistry problem solving between right middle frontal gyrus, bilateral nucleus caudate tail and culmen. The results show that logical thinking, working memory, planning, imaging, languge based thinking and learning motivation were induced during convergence thinking and these functions and regions were synchronized intimately. Whereas, logical thinking and inducing learning motivation functioning during chemistry problem solving were not synchronized. These results provide concrete information about convergence thinking.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.323-332
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• 2017

This study is convergence study of path model for the relationship among self esteem(SE), critical thinking disposition(CTD), problem solving skills(PSS) and motivation toward learning(MTL). The survey was performed on 207 nursing students in one college. Data was collected using a structured questionnaires and analysed with PASW 18.0 and AMOS 18.0. Model fit indices were in good agreement with recommended level(${\chi}^2/df=2.128$, GFI=.995, AGFI=.949, RMSEA=.074, CFI=.993, NFI=.988). Based on the path model, SE(${\beta}=.205$), PSS(${\beta}=.420$) showed a direct effect on MTL while CTD(${\beta}=.182$) showed a indirect effect on MTL. The SE showed a direct effect on CTD(${\beta}=.398$) and CTD(${\beta}=.433$) showed a direct effect on PSS. The findings indicate the necessity of developing educational programs to enhance nursing student's SE for increasing of MTL.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.235-236
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• 2014

본 논문에서는 스마트 기기로 제어 가능한 교육용 로봇을 활용하여 초등 학습자들의 융합적 사고를 향상 시킬 수 있는 교육방법을 제안하고자 한다. 초등 학습자들을 대상으로 실질적인 융합 교육이 이루어지기 위해서는 융합 과정을 체계적으로 체험하고, 이러한 과정을 통해서 새로운 가치를 발견하고 구체화 할 수 있는 환경이 요구된다. 따라서 본 논문에서는 융합 과정을 학습자들의 수준에 맞게 세분화하고 학습자들의 흥미와 창의성 발현에 효과적인 스마트 기기 기반의 교육용 로봇을 활용하여 구체화 할 수 있는 교육 방법을 설계하였다.