• Journal of Industrial Convergence
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• v.18 no.3
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• pp.83-89
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• 2020

This paper describes the effects of Novel Engineering(NE) on improvement of creative problem-solving abilities. We performed two classes for control and experience group. They are all 5th grade students. Core concept of the NE lesson is ecosystem and interaction with 8 hours long. We designed a lesson able to integrate subjects like Korean, Science and Practical Arts. Then we performed pre-and-post t-test on creative problem-solving ability. The experimental results showed that NE lesson has a high effects on 4 sub-elements like self conviction and independence, diffusion thinking, critical thinking and motivational component. The research showed that NE class is a good teaching-learning method to cultivate various competencies for our children. NE is a convergence learning model integrating various problem-solving paradigms ever researched. Thus we expect that NE is a foundation for convergence curriculum model to lead our children to their future and get settled to all schools.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.151-158
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• 2019

This study was conducted to identify the level of problem-solving ability, critical thinking and satisfaction level of students majoring in dental hygiene, and to identify the impact of problem-solving ability and critical thinking on major satisfaction levels. The research target collected data through a structured questionnaire for 259 students majoring in dental hygienics located in North and South Gyeongsang Province. The analysis results showed that the problem-solving ability of the study subjects was 2.56, critical accidents were 2.58, and the major satisfaction level was 2.32, and the problem-solving ability, critical thinking and major satisfaction level were positively correlated with each other. Among the lower factors of problem solving ability, solution performance and solution model were significant factors that could improve major satisfaction, and among the lower factors of critical thinking, intellectual fairness, intellectual passion/interest, and systematicness were significant factors that could improve major satisfaction. Critical thinking also significantly mediated problem solving ability and major satisfaction level (β=).2602, BCCI [.0908~.4529]). Based on the results, it is believed that dental hygiene education needs to be developed in addition to the establishment of an educational environment that can enhance the ability to solve problems and critical thinking, and that research should be continued to check its effects.

• Journal of Engineering Education Research
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• v.24 no.1
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• pp.53-61
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• 2021

Critical thinking ability based on a sound sense of logic is essential for analyzing a given engineering design problem and assessing it to arrive at the most plausible conclusion. Engineering design classes require students to organize their engineering design experiences through reports, and engineering design reports require detailed specifications of their tasks at each stage. Given the nature of these curriculums, design classes provide writing courses focusing on science and engineering within specialized fields, but there still lies many obstacles for communication education that embraces both general education and major subjects. This study proposes a specified step-by-step writing model for engineering design reports that encompasses critical thinking for the objective of systemizing design experiences from engineering design report writing. For the purpose of the study, the concepts and relationship between critical thinking and creative problem solving have been examined, followed by a proposal of application methods for critical thinking criteria and elements from a case example on engineering design. Furthermore, the study proposes a critical thinking-based assessment rubric for logical decision making at each stage of engineering design as well as a resulting model for engineering design report writing.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.4
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• pp.109-124
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• 2001

This paper presents a new method that can efficiently solve the integrated problem of line balancing and model sequencing in mixed model assembly lines (MMALs). Line balancing and model sequencing are important for an efficient use of MMALs. The two problems of balancing and sequencing MMALs are tightly related with each other. However, In almost all the existing researches on mixed-model production lines, the two problems have been considered separately. In this research, an endosymbiotic evolutionary a1gorithm, which is a kind of coevolutionary a1gorithm, is adopted as a methodology in order to solve the two problems simultaneously. This paper shows how to apply an endosymbiotic evolutionary a1gorithm to solving the integrated problem. Some evolutionary schemes are used In the a1gorithm to promote population diversity and search efficiency. The proposed a1gorithm is compared with the existing evolutionary algorithms in terms of solution quality and convergence speed. The experimental results confirm the effectiveness of our approach.

• Journal of The Korean Association For Science Education
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• v.37 no.6
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• pp.993-1003
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• 2017

Teachers expect team-based project learning to help students develop collaborative and real-world problem solving skills. In practice, however, students tend to solve problems with simple division of labor, and there is a tendency that learning transfer does not occur in solving problems. The purpose of this study is to develop a collaborative learning model based on the transactive memory system (TMS) and to verify its effectiveness. The collaborative learning model based on the TMS is composed of three stages. The first stage is developing TMS. In this stage, the students learn physics concepts and make knowledge about the expertise of group members through peer instruction. The second stage, activating TMS, is building trust through solving well-defined problems for developing near-transfer. And in the third stage, applying TMS, the students solve an ill-defined problem based on real-world context for practicing far-transfer. Based on this model, a 15-week program including two projects on geometric optics and sound waves was developed and applied to 60 college students. The data for five weeks of one project were collected and analyzed. As a result, the TMS of the experimental group with the TMS-based collaborative learning model improved stepwise. Whereas, the difference between the first week and the last week was statistically significant, while the TMS change of the comparison group using the general project learning model was not significant. Also, the experimental group showed that the learning transfer occurred better in the project than the comparison group. A collaborative learning model based on TMS can be used to learn how students gain synergy through collaboration and how students collaboratively transfer the learned concepts in problem solving.

• Journal of the Korean Operations Research and Management Science Society
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• v.17 no.1
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• pp.3-16
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• 1992

We present a modified Tank and Hopfield's neural network model for solving Linear Programming problems. We have found the fact that the Tank and Hopfield's neural circuit for solving Linear Programming problems has some difficulties in guaranteeing convergence, and obtaining both the primal and dual optimum solutions from the output of the circuit. We have identified the exact conditions in which the circuit stops at an interior point of the feasible region, and therefore fails to converge. Also, proper scaling of the problem parameters is required, in order to obtain a feasible solution from the circuit. Even after one was successful in getting a primal optimum solution, the output of the circuit must be processed further to obtain a dual optimum solution. The modified model being proposed in the paper is designed to overcome such difficulties. We describe the modified model and summarize our computational experiment.

• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.847-866
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• 2010

Enhancing creativity is possible to offer systematic education programs and several conditions as variable thinking, experiment lesson, opened-situation. We developed CNP model as program for enhancing creativity. The CNP model emphasizes that parts of problem finding, embodying and solving ability and includes scientific problem finding tool, Integrated Process Skills and Science Writing Heuristic. The CNP Model is comprised of six step. We developed teachers' guide and student's worksheets for application. Result of applied CNP model to students of scientifically gifted education center in K University, students were able to enhanced originality and fluency and had solved problems by creative way. And creative problem finding, embodying and solving ability were increased. Therefore, the CNP model was effective in enhancing the creativity of scientifically gifted.

• Women's Health Nursing
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• v.27 no.3
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• pp.230-242
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• 2021

Purpose: The purpose of this study was to develop a maternal nursing competency reinforcement program for nursing students and assess the program's effectiveness in Korea. Methods: The maternal nursing competency reinforcement program was developed following the ADDIE model. This study employed an explanatory sequential mixed methods design that applied a non-blinded, randomized controlled trial with nursing students (28 experimental, 33 control) followed by open-ended interviews with a subset (n=7). Data were analyzed by both qualitative and quantitative analysis methods. Results: Repeated measures analysis of variance showed that significant differences according to group and time in maternal nursing performance; assessment of and intervention in postpartum uterine involution and vaginal discharge (F=24.04, p<.001), assessment of and intervention in amniotic membrane rupture (F=36.39, p<.001), assessment of and intervention in delivery process through vaginal examination (F=32.42, p<.001), and nursing care of patients undergoing induced labor (F=48.03, p<.001). Group and time improvements were also noted for problem-solving ability (F=9.73, p<.001) and emotional intelligence (F=4.32, p=.016). There were significant differences between groups in self-directed learning ability (F=13.09, p=.001), but not over time. The three main categories derived from content analysis include "learning with a colleague by simulation promotes self-reflection and learning," "improvement in maternal nursing knowledge and performance by learning various countermeasures," and "learning of emotionally supportive care, but being insufficient." Conclusion: The maternal nursing competency reinforcement program can be effectively utilized to improve maternal nursing performance, problem-solving ability, and emotional intelligence for nursing students.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1313-1321
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• 2017

In the future society where ICT-based digital convergence creates new value, collaborative skills among experts in various fields and SW based problem solving ability is more emphasized. Non-SW specialists are required to have SW based communication skills to effectively collaborate with SW experts to solve their problems. Therefore, SW programming curriculum for non-major college students should be different from the existing programming education for SW-majors aiming at a high level of coding ability. It is also known that diagram-based visual representation is helpful for productive communication and collaboration. In this study, we defined the SW education objectives for the non-majors as cultivating the visual programming ability for SW based problem solving. In order to accomplish this, we explored SW programming curriculum and content development model for non-majors focusing on visual representation of SW solutions. The results of this paper will help to provide appropriate SW learning model for non-majors and to cultivate practical SW capabilities.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.81-84
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• 2003

The ability to determine the optimal frequencies and offsets for independent and unrestricted ordering cycles for multiple items can be very valuable for managing storage capacity constrained facilities in a supply chain. The complexity of this problem has resulted in researchers focusing on more tractable surrogate problems that are special cases of the base problem. Murthy et al. (European Journal of Operation Research 2003) developed insights leading to solution of the original problem and present a heuristic for offsetting independent and unrestricted ordering cycles for items to minimize their joint storage requirements. However, their study cannot find optimal solution due to the Greedy Heuristic solution procedure. In this paper, we present a complete procedure to find the optimal solution for the model with a integer programming optimization approach and genetic algorithm. Numerical examples are included to compare each model with that of Murthy et at. Research of this type may prove useful in solving the more general problem of selecting order policies to minimize combined holding, ordering, and storage costs.