• International Journal of Control, Automation, and Systems
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• 제6권2호
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• pp.282-287
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• 2008

In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior learning finds an optimal state-action mapping of a robot for a given operating condition. In behavior learning, a Q-learning algorithm is modified to handle delayed rewards in the distributed robot systems. A group of robots implements cooperative behaviors through communication with other robots. Individual robots improve the state-action mapping through online evolution with the crossover operator based on the Q-values and their update frequencies. A cooperative material search problem demonstrated the effectiveness of the proposed behavior learning and online distributed evolution method for implementing cooperative behavior of a group of autonomous mobile robots.

• International Journal of Contents
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• 제15권2호
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• pp.59-74
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• 2019

The objective of this study was to analyze the influence of physical education classes based on Flipped Learning on self-directed learning abilities and learning attitude towards these classes, for middle school students. The study selected 90 students as an experimental group (3 classes) and 97 students as a control group (3 classes), among 240 students of the first-year students attending a middle school located at Jeonju City of South Korea, applying convenience sampling, one of the non-probability sampling methods. For the experimental group, 36 sessions of physical education classes were held for 14 weeks, while the control group received teacher-centered classes. Comparing the results with the control group, the experimental group showed significant differences in terms of all sub factors of self-directed learning abilities, namely; desire for learning, learning objective establishment, basic self-management abilities, selection of learning strategy and self-reflection. Moreover, the experimental group manifested significant differences in terms of all sub factors of attitude towards the physical education subjects, namely; positive emotions, negative emotions, health & physical strength, interpersonal relations, physical activities & movements, and active participation & positive performance. From the findings, it can be considered that physical education classes based on Flipped Learning contributed to improving self-directed learning abilities and attitude towards physical education classes. This result can serve as a significant basic material for designing and performing classes in raising the understanding of Flipped Learning and effectively applying Flipped Learning in physical education classes.

• 지식경영연구
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• 제23권3호
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• pp.173-192
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• 2022

이 연구의 목적은 중국인 사무직 직원의 디지털 리터러시가 무형식 학습에 영향을 주는지 살펴보고, 디지털 리터러시와 무형식 학습 사이의 인센티브의 조절효과를 규명하는데 있다. 구체적인 연구 목표로는 첫째, 사무직 직원의 디지털 리터러시는 무형식 학습과 정적인(+) 관계가 있는지 살펴보고, 둘째, 사무직 직원의 디지털 리터러시와 무형식 학습의 관계에서 회사의 인센티브(물질적 인센티브, 비물질적 인센티브)는 조절효과가 있는지 살펴보는 것이다. 연구 결과는 다음과 같다. 중국 사무직 직원의 디지털 리터러시는 ICT를 잘 다루는 능력과 정보를 잘 활용할 수 있는 능력으로 구인하였는데, ICT를 잘 다루는 능력은 직무수행을 통한 지식획득, 자기개발 능력 함양, 타인과 유의미한 정(+)의 관계를 가졌고, 정보를 잘 활용할 수 있는 능력도 직무수행을 통한 지식획득, 자기개발 능력 함양, 타인과의 학습과 정(+)의 관계가 가졌다. 디지털 리터러시와 무형식 학습의 관계에서 물질적 인센티브와 비물질적 인센티브를 투입하여 조절효과를 살펴보았는데, 정보를 잘 활용할 수 있는 능력과 직무수행을 통한 지식획득 사이에만 물질적 인센티브와 비물질적 인센티브가 조절효과가 있었으며 그 외의 관계에서는 인센티브가 조절효과가 나타나지 않았다. 이 연구는 중국 사무직 직원의 디지털 리터러시와 무형식 학습의 관계를 실증적으로 규명하고, 디지털 리터러시와 무형식 학습의 관계에서 인센티브의 조절효과를 확인하였다는 데 의의가 있다. 더 나아가 중국 기업의 사무직 직원 채용 및 교육 설계, 회사 인센티브의 보상 방식의 설계에서 기초자료로 활용될 수 있을 것이다.

• 열처리공학회지
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• 제35권6호
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• pp.327-336
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• 2022

In this study, a model for automatically recognizing several steel parts through a camera before charging materials was developed under the assumption that the temperature distribution in the pre-air atmosphere was known. For model development, datasets were collected in random environments and factories. In this study, the YOLO-v5 model, which is a YOLO model with strengths in real-time detection in the field of object detection, was used, and the disadvantages of taking a lot of time to collect images and learning models was solved through the transfer learning methods. The performance evaluation results of the derived model showed excellent performance of 0.927 based on mAP 0.5. The derived model will be applied to the model development study, which uses the model to accurately recognize the material and then match it with the temperature distribution in the atmosphere to determine whether the material layout is suitable before charging materials.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.160-169
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• 2022

This qualitative study aimed to investigate ways to improve effective cooperative learning from students' perspective by understanding and analyzing the learning experiences of nursing students who participated in a collaborative problem-solving learning model. Data were collected through focus group interviews and reflection journals of six second-year nursing students from G-university in J-city who participated in a collaborative problem-solving learning model course. The interview data were analyzed and divided into 3 categories and 10 subcategories according to the six-step thematic analysis method proposed by Braun and Clarke. The results of analyzing the interviews were considered based on three areas: preparation before learning, the process of collaborating as a cooperative learning experience, and solutions and expectations after learning. The participants felt frustrated because collaborative problem-solving took more time for individual learning than traditional methods did and would not allow them to check the correct answers immediately. However, they gained new experiences by solving problems and engaging in discussions within their learning community. The participants' expectations included material that could help their learning, measures to prevent free-riders, and consideration of the learning process in evaluation factors. Although this study has sample limitations by targeting nursing students in only one region, it can be used to help operate collaborative problem-solving classes, as it reflects the real experiences and opinions of students.

• 한국보건간호학회지
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• 제7권2호
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• pp.67-76
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• 1993

This study was conducted to investigate the nurses' recognition extent of nursing power and related factors. It was performed in a private university hospital using questionaire papers from Jul. 11 to Jul. 20, 1993. The collected data were in number of 209, and they were handled and analyzed by computer program (SPSS). Through above process, we got meaningful results as follow. 1. The factor concerned with whether the nursing department show its independent power or not was 4.1 on an average. Consequently above results showed that the independent power roles as a important factor. The factor concerned with study and research was 3.9 on an average. So that the extension of learning was also a comparatively important nursing power. But ensuring good material environment was merely 1.6 on an average. So it was understood as less important nursing power. 2. Between the factor concerned with enforcement of independence of nursing department and the factor concerned with extension of learning, there was positive correlation of 0.32 Pearson's Correlation Coefficent. It can be interpreted as the effort of extension of learning go side by side with the showing of independent power of nursing department. As a result the power of nursing become strong. And between the factor concerned with enforcenment of independence of nursing department and the ensuring o(good material environment, there was negative correlation of -0.28 Pearson's Correaltion Coefficint. It can be interpreted as the stronger the independent power of nursing, the more overlooked the recognized of material environment of nurses.

• 한국수학교육학회지시리즈A:수학교육
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• 제41권1호
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• pp.19-34
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• 2002

The 7th national mathematics curriculum lays emphasis on an interrelation of several subjects and a connection between mathematics and real life. In this reason, this study focuses on the enhancement of sound understanding nuclear energy which is one of important factor(concepts or contents) dealt with in the other subjects such as science, environment, social studies, etc.. Recently, even though it is insistent that nuclear energy be so important and request in the future society, there are still strong pro and cons regarding the use of it. In this study, teaching-and-learning materials were developed dealing with using nuclear energy, and consequently they might be used in math class for the purpose of enhancement of mathematical learning ability and of recognition on nuclear energy. In this study, Material 1 included a matter of the necessity for nuclear power plants using the ratio concept, and Material 2 did on a matter of the efficiency of nuclear energy and the unclear of nuclear power plants using ratio-graph, in the elementary and upper school mathematics. Material 3 focused on a matter of the principles of nuclear power plants using the properties of exponential law in high school mathematics. Ultimately, it is hoped in the study that more diverse instructional materials dealing with diverse situations inside and outside mathematics would be developed.

• Educational Technology International
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• 제11권2호
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• pp.149-172
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• 2010

Knowledge can be more meaningful when it is shaped and personalized through interaction with others. Implementation of open learning environments such as open courseware or shared knowledge communities has gradually become more common. A case study which investigated instructors' experiences and perceptions of publishing and using open courseware in the classroom was conducted at a university in Korea. Responses from participating students and an evaluation group regarding how they perceived open learning environments were also examined. Based on the inductive analysis of the data, this study discusses advantages and challenges of publishing open courseware and collaborative learning environments. Also, practical guidelines for developing reusable learning materials are suggested.

• 보건교육건강증진학회지
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• 제21권3호
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• pp.151-177
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• 2004

Recently, the educational community has attempted to implement the theory of multiple intelligences. In approaching multiple intelligences, teachers have applied the same structural approach which has been so successful with cooperative learning. Cooperative learning is easy to learn and implement, fun for teachers and students, and produce profoundly positive outcomes along a remarkable number of dimensions. Different structures are designed for different outcomes, including enhanced mastery of subject matter, improved thinking skills, team building, class building, development of social character and social skills, communication skills, classroom management, classroom discipline, and development of and engagement of each of the multiple intelligences. Cooperative learning is becoming an increasingly popular teaching strategy. In this study, it is aimed to clarify the application of cooperative learning in health education. Cooperative Learning in health education enhances student learning by: 1) providing a shared cognitive set of information between students, 2) motivating students to learn the material, 3) ensuring that students construct their own health knowledge, 4) providing formative feedback, 5) developing social and health group skills necessary for success outside the classroom, and 6) promoting positive interaction between members of different cultural and socio-economic groups. Cooperative Learning structures and techniques in health education are following. Flash Card, Focused Listing, Structured Problem-solving, Paired Annotations, Structured Learning Team Group Roles, Send-A-Problem, Value Line, Uncommon Commonalities, Team Expectations, Double Entry Journal, Guided Reciprocal Peer Questioning, What if. Because the purpose of health education is the practice, therefore health specialists have to guide powerful and effective teaching method The application of cooperative learning in health education may improve its effectiveness.

• 한국전기전자재료학회논문지
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• 제35권2호
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• pp.134-142
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• 2022

기존의 시행착오를 거쳐 소재를 개발하는 방법은 조금씩 한계를 보이고 있는데, 왜냐하면 산업과 기술이 고도화되고 기능성 소재가 가져야 하는 특성은 복잡해지면서 그 요구치가 높아지고 있기 때문이다. 이를 극복하기 위해 데이터 기반의 인공신경망으로 복잡한 소재 공간을 빠르게 탐색하여 소재 개발을 가속화하고자 하는 연구들이 진행되고 있다. 특히 결정그래프 합성곱 인공신경망은 결정 소재의 구조에 따른 특성을 학습하는 인공신경망으로 소재의 특성(생성 에너지, 밴드갭, 부피 탄성 계수 등)을 양자역학 기반의 제일원리 계산보다 빠르게 예측한다. 본 논문에서는 46,629개의 결정구조 데이터와 그 생성 에너지를 공공데이터베이스에서 불러와 결정그래프 합성곱 인공신경망 모델을 학습시키고 이를 특성 예측에 적용해 보는 예제를 설명한다. 이를 통해 간단한 프로그래밍 지식으로 소재 특성 예측 모델을 재현해 보고 원하는 데이터 셋과 연구 분야에 적용할 수 있을 것으로 기대된다. 인공지능 모델의 개발은 앞으로 더 복잡한 특성을 가져야만 하는 소재의 개발을 위해 넓은 범위의 소재를 탐색해야만 하는 과정을 획기적으로 단축시켜 소재 개발의 가속화를 촉진시킬 것으로 생각된다.