• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.2
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• pp.146-155
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• 2017

Purpose: The purpose of this study was to investigate the nursing informatics competencies, problem-solving ability, and nursing performance ability of nurses, and to determine factors that affect their nursing performance ability. Methods: Data were collected from 210 clinical nurses employed by a general hospital having more than 500 beds in Seoul. The data were collected from June to October, 2014. The questionnaires included a nursing informatics questionnaire, the Korea problem solving process inventory, and a nurse performance appraisal tool. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and stepwise multiple regression. Results: Nursing performance ability had statistically significant correlation with nursing informatics competencies (r=.49, p<.001) and problem-solving ability (r=.66, p<.001). Factors influencing nursing performance ability were problem-solving ability, nursing informatics competencies, work experience, and educational status, accounting for 54% of the variance. Conclusion: Findings indicate that nursing informatics competencies and problem-solving ability have important influences on the nursing performance ability of clinical nurses. Thus, in order to provide an improvement in nursing performance ability, educational programs towards nurses' problem-solving ability and nursing informatics competencies should be provided.

• The Korean Journal of Rehabilitation Nursing
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• v.6 no.2
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• pp.183-191
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• 2003

Purpose: To examine the effect of the solution-focused group counseling program on the nursing students' problem-solving capacity. Methods: The research design was one-group pretest-posttest design in quasi-experimental research. The subjects were 16 sophomore nursing students being in K university located in D city, Korea. The period of this research was from January 9 to February 20, 2002, from January 10 to February 21, 2003. The group counseling program that was developed by Kim, Hyeon Mi (2001) on the basis of the fundamental principles of solution-focused therapy of de Shazer, et al. (1986) and the solution-focused group counseling process proposed by Selekman (1991), LaFountain, et al. (1996) and Metcalf (1998) was used after being modified and complemented for the nursing students. The group counseling was carried out six times for 120 minutes per week. The instruments used for this study were the Problem Solving Inventory developed by Heppner and Petersen (1982) and Scaling question. Collected data were analyzed by paired t-test with SPSS program. Results: 1) Problem solving capacity increased after solution-focused group counseling program, but a significant difference was not revealed(t=0.835, p=0.057). 2) The scores of self-confidence with the problem-solving were significantly increased when it was compared with the 1st and the 6th(t=3.587, p=0.001). Conclusion: It seems that the solution-focused group counseling program should be considered as an effective nursing intervention program for the nursing students by improving self-confidence with the problem-solving. As a results, this study suggests that the specific techniques used in the solution focused therapy should be applied actively in areas of counseling and communication training for the nursing students and nurses.

• Journal of Engineering Education Research
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• v.26 no.3
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• pp.35-41
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• 2023

The study was conducted to develop two parallel short forms for the Convergent thinking and Problem solving questionnaires which are part of H University's core competency diagnostic tools, based on Multi-Item Response Theory. Item responses of 2,580 students were analyzed using Graded Response Model(GRM) to determine item difficulty and discrimination of each item. The research results are as follows. Two parrallel short tests were developed for the Convergent thinking questionnaire consisting of 12 items which were originally 17 items. Likewise, the Problem solving questionnaire, which originally consisted of 15 questions, was divided into two parallel short forms, each consisting of 9 items. The reliability of the shortened parallel tests was confirmed through internal consistency analysis, and their similarity to the original tests was established through correlation analysis. This study contributed to quality management of competency-based education and programs at H University by developing shortened tests. Based on the results, implications were presented as well as limitations and discussions.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.496-504
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• 2011

The purpose of this study is to inquire the technique of creative problem solving based on OTSM-TRIZ. This is necessary to construct and design the contents that can improve the creative thinking skill for preschool students. So the study contents of this paper are as follows : First, it is to understand the concepts of creative problem solving. Second, it is to examine the theoretical background of OTSM-TRIZ. Third, it is to analysis the educational cases based on OTSM-TRIZ. Particularly, this study investigated Russian educational cases which targeted preschool students. OTSM-TRIZ is problem solving tool that TRIZ had to be transformed into the 'General Theory of Strong Thinking'. At present, this tool is applied on the educational program for thinking creatively at kindergarten, elementary school, middle and high school. And TRIZ is the thinking technique of creative problem solving that can be the tool of inventory solutions by finding and get over the key of contradiction that is necessary to obtain ideal final results of suggested problems.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.40-46
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• 2015

The modular assembly system can make it possible for the variety of products to be assembled in a short lead time. In this system, necessary components are assembled to optional components tailor to customers' orders. Budget for inventory investments composed of inventory and purchasing costs are practically limited and the purchasing cost is often paid when an order is arrived. Service cost is assumed to be proportional to service level and it is included in budget constraint. We develop a heuristic procedure to find a good solution for a continuous review inventory system of the modular assembly system with a budget constraint. A regression analysis using a quadratic function based on the exponential function is applied to the cumulative density function of a normal distribution. With the regression result, an efficient heuristics is proposed by using an approximation for some complex functions that are composed of exponential functions only. A simple problem is introduced to illustrate the proposed heuristics.

• Journal of Korean Academy of Nursing
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• v.41 no.4
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• pp.550-557
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• 2011

Purpose: The purpose of this study was to investigate the prevalence of depression among school girls in Korea and identify factors influencing the tendency to depression. Methods: A self-report survey was conducted with South Korean middle schoolgirls who were in the 8th and 9th grades. Four hundred and one schoolgirls were included in the study. The instruments utilized in this study were the Center for Epidemiologic Studies - Depression Scale and Social Problem Solving Inventory-Revised. Data were analyzed using descriptive statistics, Pearson correlation and multiple logistic regression with SPSS WIN 14.0 program. Results: The average depression score of the participants was 20.68, which indicates moderate levels of depression. About 35% of the schoolgirls in this study reported a tendency to depression. Significant predictors for depression were 'decreased problem-solving abilities', 'no family members with whom they can discuss their concern', 'decreased satisfaction in relationship with friends', and 'increased negative self-perception of body-image'. Conclusion: The study findings suggest that schoolgirls require special concern regarding the risk of developing depression. Regular depression screening could be beneficial for early detection of depression in schoolgirls and enhancing problem-solving ability could be considered as an effective strategy to reduce the risk of depression among schoolgirls.

• Journal of Gifted/Talented Education
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• v.24 no.4
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• pp.577-595
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• 2014

The purpose of this research was to investigate the possibility of peer recommendation and to provide a diverse perspectives identifying for gifted elementary school students. The subjects were 355 elementary school students who were either fourth, fifth, and sixth grade from D elementary school located in Gyeonggi province, 165 elementary school students who are either fourth, fifth, and sixth grade from J elementary school located in Gyeonggi province, and 16 teachers who were home-room teachers for students surveyed. This research investigate the difference of creative personality, achievement motivation, problem solving patterns, and task preference inventory between students recommended by peer and students not recommended by peer. The results of this research were as follows. Firstly, the students recommended by peer showed the significantly higher creative personality, achievement motivation, problem solving patterns, and task preference than the student not recommended by peer. Secondly, as a result of comparing the students recommended by peer and students not recommended by peer for each grade, fifth and sixth grade students showed a significantly higher score in the test than other graders. Fourth grade students showed significantly higher score in every sections in the test, except for the section of creative personality. Therefore, the peer recommandation method can be applied to fifth, and sixth graders. Thirdly, the student recommended by both teacher and peer showed significantly higher problem solving patterns, and task preference scores than the student recommended only by teacher. Therefore, peer recommendation method can be an useful data for complementing teacher recommendation and it can identify gifted elementary school students.

• Management Science and Financial Engineering
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• v.13 no.1
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• pp.35-53
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• 2007

We consider a(worst-case) robust optimization version of the Economic Order Quantity(EOQ) model. Order setup costs and inventory carrying costs are assumed to have uncertainty in their values, and the uncertainty description of the two parameters is supposed to be given by an ellipsoidal representation. A genetic algorithm combined with Monte Carlo simulation is proposed to approximate the ellipsoidal representation. The objective function of the model under ellipsoidal uncertainty description is derived, and the resulting problem is solved by another genetic algorithm. Computational test results are presented to show the performance of the proposed method.

• 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.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.4
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• pp.53-61
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• 2008

Recently, Ertogral et al.[2] suggested two models considering the transportation cost based on single-vendor single-buyer integrated production-inventory problem. Although their problem-solving algorithm guarantees solutions obtained are optimal, a limitation is revealed that its performance can be inefficient due to complete enumeration search in a certain range. In this paper, a more efficient algorithm in finding optimal solutions is suggested for the same problem suggested by Ertogral et at.[2]. Numerical examples are presented for illustrative purpose.