• Korean Journal of Health Education and Promotion
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• v.21 no.3
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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.

• The Journal of Korean Association of Computer Education
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• v.7 no.3
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• pp.111-121
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• 2004

One of the cooperative learning models, the cooperative learning of structural approach which is very simple and easily applicable accomplishes teaching-learning through combining learning contents and organic connections of various structures. This work proposes a cooperative teaching-learning model for the structural approach, designs and implements a web-based cooperative system supporting it. The model provides a concrete frame which can apply to a subject learning thus could effectively support cooperative learning. Furthermore, it classifies learning into three types such as knowledge learning, investigation, and function mastering and presents a structure application model for each so as to apply different structures according to learning materials and types. We implemented a system that performs cooperative learning on the basis of these models, applied to a class, and analyzed the effect of it.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.104-110
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• 2020

In the 4th Industrial Revolution, the competitiveness of the software industry is important, and as a solution to fundamentally secure the competitiveness of the software industry, education classes should be provided to educate high quality software personnel in educational institutions. Despite this social situation, software-related classes in universities are largely composed of competitive or individual learning structures. Cooperative learning is a learning model that can complement the problems of competitive and individual learning. Cooperative learning is more effective in improving academic achievement than individual or competitive learning. In addition, most learners have the advantage of having a more desirable self-image by having a successful experience. In this paper, we apply a pair check model, which is a type of cooperative learning, in operating system classes. In addition, the class procedure and instruction plan are designed to apply the pair check model. We analyze the test results to analyze the performance of the cooperative learning model.

• Journal of Fisheries and Marine Sciences Education
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• v.20 no.2
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• pp.297-308
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• 2008

This study developed career education program applying cooperative learning structures (Kagan, 1993, 1995, 1997), and tested its effect on elementary school children's career development. Sixth grade students of 2 classes were divided into experimental and control group, and 14 sessions of the program were applied to the experimental group for 8 weeks. Career development test(Lee, 2005) were performed before and after the program. Students in both groups were retested 3 months after the post-test to test continuing effects of the program. Score tendencies and their differences between experimental group and control group of children in 3 career development areas - self-awareness, educational and occupational exploration, and career planing - were tested and the results are as follows: development of 3 areas of self-awareness, educational and occupational exploration, and career planing were consistently increasing along the experimental sequence in experimental group, while the development of 3 areas showed no changes or declining tendencies in control group. Self-awareness and educational and occupational exploration did not show the statistically significant differences between the groups. Meanwhile, the career plaining showed statistically significant difference between the groups in post-test, meaning that the career education program with cooperative structure has positive effects on the career planing in 6th grade students.

• Journal of The Korean Association For Science Education
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• v.20 no.4
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• pp.611-623
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• 2000

The cooperative learning movement began as parts of the desegregation process in America, aiming at increasing academic achievement and social skills among diverse students. Cooperative learning may be defined as a classroom learning environment in which students work together in small heterogeneous groups. Although many studies have shown the effectiveness of cooperative learning in a variety of subjects, relatively few have focused on biology. In this study, we investigated the effects of cooperative learning on students' achievement and attitude of middle school biology students. For this purpose this study compared three sections. In one section, a cooperative learning strategy was used. Second section was taught in small groups and the third section was instructed in the traditional method. The unit 'Structures and functions of animals' was used. A total of 188 students were included in this study. These classes were treated for 10hours during 10weeks from September 1 to November 28, 1999. The pretests-posttests control group design was applyed. An analysis of covariance(ANCOVA) was used as the data analysis procedure. Significant differences were found in the achievement and the attitude of students using cooperative learning strategy(p<.05) when compared to traditional classroom structure and small group learning. Cooperative learning was more effective in the low-ability and average-ability students than the high-ability students in the science achievement. Cooperative learning is effective in both male and female students. And students in the cooperative group achieved better than those in other groups in affective, behavioral, and intention-cognitive domain of science attitude.

• International Journal of Contents
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• v.7 no.4
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• pp.10-18
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• 2011

Cooperative Group Games (CGG) emphasize participation, challenges and fun by cooperation among group members rather than competition. CGGs have been proven to be an efficient education method that teaches the value of cultivating cooperation skills, discipline, and sense of public order for tackling problems together through various types of interactions. When integrated with computer game technology, the general classic CGG can be reborn with new educational and entertaining aspects. To combine the joy of physical movement of group games and the richness of computer game contents, a motion based arcade CGG has been developed in this study, based on the original ideas and structures of classic off-line CGGs. While implementing the classic game concepts in arcade environment, various design attributes have been considered and applied, which were supposed to promote cooperative game play. Overall, the process of the implementation and test results of our four CGGs suggest several design strategies for effective arcade CGGs.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.171-174
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• 2012

이 연구는 협동학습의 수행과정에서 학습자들이 느끼는 어려움을 해소하고 협동학습 활동을 돕기 위해 협동학습 구조의 활용방안을 제안하고 그 효과성을 검증하고자 하였다. 이를 위해 먼저 구조 활용 협동학습을 설계하고, 초등학교 4학년 1학기 과학과에서 실험단원을 선정하여 구조 활용 협동학습의 각 단계에 따라 수업을 하고, 학업성취도와 과학에 관련된 태도의 관점에서 효과성을 분석하였다. 연구대상은 경기도 소재 'ㅎ' 초등학교 4학년 학생들 중 사전 학업성취도와 과학에 관련된 태도 검사에서 동질집단으로 확인된 2개 학급 56명이었다. 연구결과 첫째, 구조 활용 협동학습은 실험집단과 통제집단의 학업성취도에 있어서 통계적으로 유의한 차이가 있었으며 특히 과학 탐구 능력 영역에서 차이가 있었다. 둘째, 과학에 관련된 태도 변화에 있어서도 두 집단 간에 유의한 차이가 있었으며 학습자의 과학에 관련된 태도를 향상시키는데 효과가 있다고 할 수 있다.

• Smart Structures and Systems
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• v.23 no.1
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• pp.1-14
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• 2019

Control algorithms are the most important aspects in successful control of structures against earthquakes. In recent years, intelligent control methods rather than classical control methods have been more considered by researchers, due to some specific capabilities such as handling nonlinear and complex systems, adaptability, and robustness to errors and uncertainties. However, due to lack of learning ability of fuzzy controller, it is used in combination with a genetic algorithm, which in turn suffers from some problems like premature convergence around an incorrect target. Therefore in this research, the introduction and design of the Fuzzy Cooperative Coevolution (Fuzzy CoCo) controller and Adaptive Neural-Fuzzy Inference System (ANFIS) have been innovatively presented for semi-active seismic control. In this research, in order to improve the seismic behavior of structures, a semi-active control of building using Magneto Rheological (MR) damper is proposed to determine input voltage of Magneto Rheological (MR) dampers using ANFIS and Fuzzy CoCo. Genetic Algorithm (GA) is used to optimize the performance of controllers. In this paper, the design of controllers is based on the reduction of the Park-Ang damage index. In order to assess the effectiveness of the designed control system, its function is numerically studied on a 9-story benchmark building, and is compared to those of a Wavelet Neural Network (WNN), fuzzy logic controller optimized by genetic algorithm (GAFLC), Linear Quadratic Gaussian (LQG) and Clipped Optimal Control (COC) systems in terms of seismic performance. The results showed desirable performance of the ANFIS and Fuzzy CoCo controllers in considerably reducing the structure responses under different earthquakes; for instance ANFIS and Fuzzy CoCo controllers showed respectively 38 and 46% reductions in peak inter-story drift ($J_1$) compared to the LQG controller; 30 and 39% reductions in $J_1$ compared to the COC controller and 3 and 16% reductions in $J_1$ compared to the GAFLC controller. When compared to other controllers, one can conclude that Fuzzy CoCo controller performs better.

• Journal of Industrial Technology
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• v.16
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• pp.197-205
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• 1996

In this paper, we propose a new neural architecture. We synthesize the architecture from a combination of structures known as MRCCN (Multi-resolution Radial-basis Competitive and Cooperative Network) and BPN (Backpropagation Network). The proposed neural network is able to improve the learning speed of MRCCN and the mapping capability of BPN. The ability and effectiveness of identifying a ninlinear dynamic system using the proposed architecture will be demonstrated by computer simulation.

• The Journal of Korean Association of Computer Education
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• v.9 no.2
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• pp.27-36
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• 2006

This study intends to present essential models for collaborative learning in e-learning environment as well as to analyze learning behavior elements appearing in collaborative learning activities. In order to achieve goal of the study, the researchers analyzed existing cooperative learning models for face-to-face classroom, collaborative activity models based on instructional theory, and the structures and activities elements of learning community and collaborative activity models focusing on e-learning environment. As a result of the study, the researchers produced a generalizable collaborative learning model for e-learning which include general collaborative learning model, and further analyzed specific learning behaviors performed by learners while they proceed in this model based learning processes. The adequacy of this model and reliability of learning behavior elements were tested through experts' review meetings. The research result, suggesting generalizable collaborative learning model as well as learning behaviors elements which might occur within e-learning based collaborative learning, might work as a foundational model for software infrastructure and e-learning solution business. Moreover, its value might be maximized if its being used for enhancing learning content interoperability and reuse as well as for establishing international standardization for collaborative technology.