• 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 Korea Convergence Society
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• v.12 no.9
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• pp.239-250
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• 2021

This study has been conducted to identify the theoretical understanding of cultural competence by systematically reviewing national and international quantitative studies on 'nurses' and 'nursing students' cultural competence dimensions. A literature search was conducted over approximately three months from June to August 2020, targeting academic journals and dissertations published from January 1, 2010, to December 31, 2019. Literature extraction was conducted according to the PRISMA guidelines, and 67 papers from a total of 1,175 were selected for the systematic literature review. As a result, the most commonly measured component was cultural perception, other dimensions included cultural knowledge, cultural skills, cultural sensitivity, cultural encounter, cultural attitude, cultural behavior, cultural longings and cultural receptivity, cultural experience, cultural security, cultural ethics, cultural beliefs, cultural practice, motivation and curiosity, cultural emotions and empathy. Therefore, in order to improve the cultural competency of nurses and nursing students, it is necessary to seek consensus and a multifaceted approach that is essential in each society based on various components.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.47-62
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• 2017

This study aimed to provide a convergent understanding of the change of compassion ward nurses in general hospital by analyzing their empathic activity in a subjective and collective way. The data collection was performed from July 21 to August 30, 2016; a total of 6 nurses deemed to have an empathic experience in the compassion ward were interviewed. The results were acquired using Giorgi phenomenological qualitative research methodology on 26 themes and 5 essential categories. The top five categories were as follows: empathy goal, empathy precedent factor, empathy facilitation factor, empathy obstacle factor, and changes after the experience of the compassion ward activity. Our results provide meaningful insights for a better understanding of the essence of empathic experience. Moreover, effective data management under the prospective program improving nurses' empathic abilities can provide high-quality nursing in the future.

• Informatization Policy
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• v.30 no.3
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• pp.29-48
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• 2023

This study aims to investigate empirically the structural relationships among the components of data governance and their impacts on data integration and data-based administration. Through literature review, various definitions, typologies, and case studies of data governance were examined, with the definition of data governance from a public policy perspective developed and applied. The study then analyzed the data from a survey conducted by the Korea Institute of Public Administration on the use of public data policies and confirmed that organizational factors play a mediating role between institutional and technical factors, and that institutional and technical factors have statistically significant positive relationships with data fusion and data-driven administration. Based on these results, interest and investment in the improvement and development of the legal system in data governance from the institutional, technical, and organizational perspective, clarification of means and purposes of data technology, interest in data organizations and human resources, and practical operation can be achieved. Policy implications such as the development of an effective mechanism were presented.

• School Mathematics
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• v.18 no.3
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• pp.541-569
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• 2016

The purpose of the study is to investigate elementary school students' creativity-integrated thinking ability and problem solving ability of core ability in 2015 revision curriculum of mathematics department. In addition, the relation between students' creativity-integrated thinking ability and problem solving ability was analyzed on problem solving process. As result, students' both abilities showed moderate level. Furthermore, students' creativity-integrated thinking ability and problem solving ability showed positive correlation.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.489-489
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• 2022

도시의 가로수들이 열악한 부지 조건과 적절하지 않은 가로수 관리로 인해 죽는 현상이 몇몇 도시에서 발생하고 있다. 열악한 부지 조건과 적절하지 않은 가로수 관리에는 생물학적·기상학적으로 많은 요소들이 있고, 그 밖에 도시 설계로 인한 요인들로 다양하다. 그중 연구지역인 춘천시에서는 가로수가 죽는 원인 중 토양수분이 가장 큰 원인일 것이라고 판단하였다. 토양수분 분포의 시간적 공간적 특성들은 증발, 침투, 지하수 함량, 토양 침식, 식생 분포 등을 지배하는 중요한 요소이며, 토양수분 연구는 물순환과정의 특성을 이해하는데 있어서 필수적인 과정이다. 하지만 토양수분 분석은 중요성에 비해 활발한 연구가 이루어지지 않고 있으며, 특히 가로수 토양수분에 대해서는 연구가 없는 실정이다. 따라서 가로수 토양수분 모니터링을 실시하였고, 장기적인 가로수 관리를 위해 모델링을 하였다. 모델링 기초자료 확보를 위한 토양수분 모니터링은 춘천시의 가로수 중 세 군데를 선정해 각각 10, 20, 30 cm에 센서를 설치하였다. 이를 통해 약 1년간의 토양수분 함량 데이터를 수집하였고, 모니터링 지점의 토양을 샘플링 후 분석하여 물리, 화학, 생물성 데이터를 수집하였다. 모델링은 RZWQM(Root Zone Water Quality Model)을 이용하여 시나리오를 구성하였다. 모델링 결과를 활용해 가로수 및 도시 표토 기능을 위협하는 요인을 분석하였다.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.321-327
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• 2018

The study aims to investigate university students' perception of syllabus and their satisfaction of its components. A survey was conducted of the whole student body in a university located in Daejeaon city. 996 students answered the questionnaire. The findings of the study are as follows: Females or upper grade students showed a more positive response to the syllabus than males or lower grade students. The group who positively perceived satisfaction of the syllabus showed less satisfaction of the syllabus components. The subjects evaluated the details or directions of the categories of Exams, Assignment, and Instructors' information were insufficient or incorrect. The pedagogical implications and suggestions for syllabus are also discussed.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.653-685
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• 2017

'기술융합'은 기존기술 간 결합 또는 전혀 새로운 기술개발을 통한 신산업 창출과 사회적 난제 해결을 가능하게 하는 혁신의 최근 트렌드이다. 과학기술을 통한 한국 경제성장 전략의 첨병이었던 국가 출연(연)구소에 대해서도 융합연구 조직으로의 역할 변화를 둘러싼 정책적 관심이 높아지고 있다. 본 연구는 출연(연) 융합연구의 성공 핵심요소를 '협력'으로 보고 다음의 연구 목적을 설정하였다. 첫째, 기술개발 목적과 문제해결 과정 관점에서 융합연구 개념과 범위를 정의하고, 그 특성을 반영하는 분석 프레임워크를 제안한다. 둘째, 융합연구에서의 협력활동과 그 성과를 유형화하고 새로운 분석지표를 제안한다. 셋째, 융합연구에서의 협력활동 특성과 그 정도가 성과에 미치는 영향을 분석한다. 이를 위하여, 국가연구개발사업 및 NST 융합연구사업을 통한 융합연구 과제 수행 경험이 있는 각 출연(연) 104명의 연구책임자들에게 협력의 방식 및 정성적 성과에 대한 설문조사를 수행하였다. 이후, 조사결과를 바탕으로 협력활동 특성과 성과 간 상관관계를 규명하는 회귀분석을 수행하였다. 분석결과, 첫째, 지식 창출활동에서는 협력 파트너 다변화가 중요한 변수였다. 둘째, 유사분야 연구자들 간 집체형 협력활동은 특허 기술이전과 같이 목적이 명확한 성과에 영향을 미치는 것으로 나타났다. 셋째, 연구자들에게 독립성과 자율성을 부여하고, 지식 노하우 등 기술역량의 상호공유가 이루어질수록 창출지식의 다양성 및 관계의 지속성이 높아지는 것으로 나타났다. 연구 결과는 융합연구를 위한 협력과 성과 분석방법의 정책방향을 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.199-208
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• 2021

In this paper, the effect of artificial intelligence convergence education program that provides STEAM education using machine learning platform on elementary school students' STEAM literacy and learning flow was analyzed. A homogeneous group of 44 elementary school 6th graders was divided into an experimental group and a control group. The control group received 10 lessons of general subject convergence class, and the experimental group received 10 lessons of STEAM-based artificial intelligence convergence education using Machine learning for Kids. To develop the artificial intelligence convergence education program, the goals, achievement standards, and content elements of the 2015 revised curriculum to select subjects and class contents is analyzed. As a result of the STEAM literacy test and the learning flow test, there was a significant difference between the experimental group and the control group. In particular, it can be confirmed that the coding environment in which the artificial intelligence function is expanded has a positive effect on learners' learning flow and STEAM literacy. Among the sub-elements of convergence talent literacy, significant differences were found in the areas of personal competence such as convergence and creativity. Among the sub-elements of learning flow, significant differences were found in the areas such as harmony of challenge and ability, clear goals, focus on tasks, and self-purposed experiences. If further expanded research is conducted in the future, it will be a basic research for more effective education for the future.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.175-182
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• 2018

In this study, the theoretical method and the finite element analysis were designed in parallel to fabricate basic research data on the production of tool horn for cutting machine with ultrasonic vibration energy. In order to perform high-performance ultrasonic cutting, it is necessary to vibrate only with longitudinal vibration instead of transverse vibration. In order to efficiently transmit the mechanical vibration energy, the maximum amplitude should be generated at the output portion. Therefore, the tool horn must be designed so that the excitation frequency of the oscillator and the natural frequency of the tool horn are the same. In order to design the resonance of the tool horn, there are a theoretical approach using the one-dimensional wave equation and a method of reflecting the finite element analysis result to the design model. In this study, the approximate dimensions of the tool horn are first determined through the one- Based on the results of the finite element analysis, the optimal model was selected and reflected in the final shape of the tool horn. We will use this information as the basic data of actual tool horn for cutting, and will compare the production and experimental data with the contents of this research.