• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.16-19
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• 2011

In 2010 Manila Conference, the revised STCW (International Convention on Standards of Training, Certification and Watch-keeping for Seafarers) of IMO recalled that a large percentage of maritime casualties and pollution incidents are caused by human error. Therefore, education and training improvement will play important role to reduce maritime casualties. From this, we focus on improving safety during sailing through upgrading the education and training for Korean cadets by updating maritime education and training program. In terms of a maritime education program from some of the maritime universities in the world such as United States Merchant Maritime Academy(USMMA) Philippine Merchant Marine Academy(PMMA), are compared to the Maritime University in Korea. As a result, we suggest an effective education system.

• Journal of The Korean Association For Science Education
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• v.33 no.6
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• pp.1237-1247
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• 2013

The purposes of this study are 1) to revalidate the developed Measuring Instrument Systems Thinking and 2) to compare systems thinking skills between gifted and non-gifted high school students. For the test, 116 gifted science students and 553 non-gifted students were sampled from high schools. Exploratory factor analysis and confirmatory factor analysis were performed and Independent t-test was performed using the average of the two groups. The finding of the exploratory factor analysis indicated 5 factors in the model with 4 items per single factor. The result of confirmatory factor analysis was generally appropriate and acceptable (5 factor model: ${\chi}^2/df$ : 2.765, TLI=.907, CFI=.929, IFI=.930, RMSEA=.044). The reliability for 20 items turned out to be high because the Cronbach's alphas were at .875 and .693~.751 per each factor. In addition, the result of t-test showed that systems thinking skills among gifted science students were significantly higher than non-gifted students. This study could be expanded to measuring systems thinking with qualitative research tools and to various school levels.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.176-177
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• 2022

수사기관에서 선박 충돌사고 발생 시 사고 재현 및 분석에 활용 또는 사고 예방 교육용으로 사용이 가능한 시스템을 개발 및 구축 하였다.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.658-670
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• 2007

Most railroad accidents are due to human errors. In particular, most of the causes of these accidents are faults of an engine driver, such as lack of signal confirmation, insecure braking, driving by guess or force of habit. This paper identifies a problem(s) by analyzing accidents for the past 10 years and also seeks a solution to train good engine drivers in order to prevent railroad accidents. In summary, what is needed are: 1) proper placement of various manpower, 2) proper training of engine drivers, 3) proper legislation for a 2-man on board system, and 4) proper reformation of personnel management.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.205-210
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• 2005

유비쿼터스 컴퓨링과 네트워킹 환경이 준비됨에 따라 교육 분야에서도 새로운 환경에 적합한 교육학습 시스템에 대한 준비가 필요하다. 특히 유비쿼터스 컴퓨팅 환경에서는 단순히 새로운 기술을 교육학습 분야에 적용하는 것이 아니라 사고방식과 대상을 바꾸는 패러다임의 전환이 필요하다. 분야에서는 유비쿼터스 환경을 단계적으로 적용하여야 한다. 기존의 e-learning에서는 지능시스템이 교육학습 분야에 적용될 수 있는 부분이 한정되어 있었다. 그러나 유비쿼터스 맞춤형 학습 시스템을 구축할 수 있는 기본 환경이 제공하기 위하여 유비퀴터스 환경의 하부 단위에서 증강현실(augmented reality) 기술, 지능형 학습 기술들을 도출하고 적용 방법을 제안한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.455-457
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• 2012

우리나라를 비롯한 전 세계의 최근 물동량 증가로 우리나라 항만에 입출항 척수가 지속적으로 증가하고 있다. 이로 인해 연안 해역뿐만 아니라 원양 해역에서도 선박간의 조우 상황이 다수 발생하고 있으며, 특히 국내 연안 해역은 빈번한 선박 조우로 인한 해양사고 발생이 상당히 빈번하게 발생하고 있는 실정이다. 이에 따라 본 연구에서는 선박 및 해양 관련 업무 종사자들의 인적과실로 인한 해양사고를 예방하고, 해기인력의 질 향상을 위한 기초연구에 그 목적이 있다. 또한 이 연구를 통하여 해기인력의 해양사고예방을 위한 기존 시스템의 하드웨어 및 소프트웨어적인 측면에서 미흡한 부분을 보완하는 자료로 활용하고, 해기인력의 운항능력향상에 중점을 둔 기존 IT기반 시뮬레이터의 문제점과 개선 방안 등을 기초로 향후 해양사고 예방용 통합 시뮬레이션 개발의 주요자료로 활용할 수 있을 것이다.

• Journal of The Korean Association of Information Education
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• v.21 no.3
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• pp.335-342
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• 2017

The artificial intelligence, robot technology, Internet of things, and life sciences that create added value while dramatically transforming human life have been highlighted in the fourth industrial revolution, the next industrial revolution. In order to adapt to the 4th industry, it is necessary to educate students to develop fusion thinking and computing thinking ability. Therefore, in this study, we developed a digital Yut Playing system based on physical computing, reflecting STEAM and decomposition, pattern recognition, abstraction, and algorithm design, which are components of computing thinking. By experiencing the developed system and applying it to education, it raised interest and interest in programming education and improved programming lesson for fusion thinking and computing thinking ability.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.39-48
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• 2024

Due to COVID-19, much research has been conducted on learning loss and educational gaps due to the postponement of the start of school and prolonged online distance learning, and most of the research has focused on the phenomenon of educational gaps. If a pandemic situation like this occurs in the future, fundamental policies are needed to resolve the educational gap. A fundamental solution requires not only an understanding of the educational gap phenomenon, but also the structure behind the phenomenon. Therefore, from a structuralist perspective, this study sought to model the educational gap caused by COVID-19 as a prototype of systems thinking and identify its structure. In addition, we looked at the unintended consequences resulting from policies aimed at resolving existing educational gaps. In order to respond to similar disaster situations in the future, policies for resolving the digital gap, support for basic academic skills, quality improvement for distance learning, and self-directed learning were discussed based on the structure of this study.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.662-669
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• 2015

The purpose of this study is to explore plan for increasing the analysis and understanding skills of literary works by using systemic thinking technique. This study used a literatures analysis method. The concrete study contents are as follows; First, it is centered on presenting values of literary education through analysing fairy tales conditions in Korean textbooks in relation to national curriculum for elementary and middle school. Second, it is to explore the features of systemic thinking technique. Third, it is to draw the instruction design model and application. Main expected effects of this study are breakaway from habitual routine, developing comprehensive and logical thinking ability, expanding fancy and imagination, cultivating innovative problem solving skill, inducing interest in literature, and increasing linguistic skills. That is, it is to be effective instruction strategy to enhance creativity and to cultivate character in classroom.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.529-534
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• 2021

Computing thinking is regarded as one of the important skills required in the 21st century, and many countries have introduced and implemented computing thinking training courses. Among computational thinking education methods, educational game-based methods increase student participation and motivation, and increase access to computational thinking. Autothinking is an educational game developed for the purpose of providing computational thinking education to learners. It is an adaptive system that dynamically provides feedback to learners and automatically adjusts the difficulty according to the learner's computational thinking ability. However, because the game was designed based on rules, it cannot intelligently consider the computational thinking of learners or give feedback. In this study, game data collected through Autothikning is introduced, and game score prediction that reflects computational thinking is performed in order to increase the adaptability of the game by using it. To solve this problem, a comparative study was conducted on linear regression, decision tree, random forest, and support vector machine algorithms, which are most commonly used in regression problems. As a result of the study, the linear regression method showed the best performance in predicting game scores.