• Journal of The Korean Association For Science Education
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• v.21 no.2
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• pp.342-356
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• 2001

Integrated science for high school is required in the present Korean National Sixth Curriculum and the Seventh Curriculum which will be effective in 2002. Currently, most science teachers in secondary school have concerns about teaching integrated science subjects and this continues to raise a significant problem for practical implementation of integrated science education in schools. In this paper, we discuss two reasons for these concerns that our analysis revealed: 1) Science teachers do not understand how to implement integrated science education and 2) there are insufficient teaching-learning materials supporting integrated science. Three different approaches to integration that have been suggested to overcome the problem of implementation are outlined here. They are the knowledge centered, social problem centered, and individual interest centered approaches. Reported here are the first two steps we undertook in preparation for testing the relative effectiveness of these approaches. First, we analyzed the content of the Korean Sixth and Seventh National Science Curricula, seven Korean integrated science text books, the American National Science Education Standards, and the American Association for the Advancement of Science Benchmarks looking for common themes. We identified in the analyzed materials the common themes: energy conservation, energy transformation, energy transport, energy degradation. We then used their energy related content to organize sets of concept structures, one set for each of the three approaches. These concept structures will provide the foundations for the development of integrated teaching-learning energy plans to be used in our research into the effectiveness of the approaches.

• Journal of the Korean Society of Costume
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• v.16
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• pp.211-220
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• 1991

The purpose of this study is to examine the effect of the fashion shop display on the clothing purchase made by the sample of 369 adult women living in Seoul area. In this study, the interest and the effect of the display are investigated through such factors of demographic variables as each individual's age, educational career, vocation, average family income a month, and marriage status. And the relationship is also examined between the person's interest paid on the display and the clothing attitude related variables of fashion follow tendency, individuality, and the way of practical economy. An additional examinations are performed in the first reactive factor to be considered at the time of the clothing purchase, and the interrelation between the discontent after purchase and the effect of display before purchase. The major findings of this research, thus, can be summarized as following: 1. Demographic variables of women reflect differences in their interests toward display and accordingly the variety of the display effect as well. Less interest and effect are caused by the effort of display for the women in their senior age. However, a group of the character women and young college women pay relatively more attention to the display and give more effect to the purchase. The examination shows alsp that the unmarried and better-off and better-educated are more sensitive to the effect of the display. 2. The higher is the individuality and the fashion follow tendency, the stronger revealed the interest in the display, while the economic women have less interest in it. 3. The first factor considered at the time of purchase is not absolutely affected significantly by the degree of the display effect in real purchasing act. 4. The discontent after purchase is not related with how much the degree of display effects in the act of real purchase.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.1
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• pp.125-134
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• 2008

Consumers' need for uniqueness reflects individual differences in counterconformity and related to the attitude toward brands as well as purchase behavior. To understand the relationship between consumer's personal characteristics and purchase behavior, the study investigated the effect of consumers' need for uniqueness and clothing interest on the brand consciousness, loyalty and purchase intention. Survey was utilized to collect the data and subjects were 271 college students. Measures consisted of five main constructs: Consumer's need for uniqueness, clothing interest, brand consciousness, brand loyalty, and purchase intention. The measurement and structural models were evaluated using PRELIS 2 and LISREL 8.53. Consumer's need for uniqueness was confirmed to have three constructs: creative, unpopular, and avoidance. The researcher tested Model 1 and developed five other models-Models 2 through 6-based on the results from Model 1 evaluation. The additional Models 2 through 6 were nested in Model 1. To select a best model, the researcher compared the value of chi-square, RMSEA, GFI, AIC, and ECVI. Since Model 6 also illustrated conceptually or theoretically reasonable relationships among constructs as well, it was finally selected as a best model. In the Model 6, the creative dimension of consumer's need for uniqueness had a negative relationship with brand loyalty, while the avoidance dimension of consumer's need for uniqueness had positive relationship. The unpopular dimension of consumer's need for uniqueness and clothing interest had significant positive effects on the brand consciousness. The brand consciousness was significantly related to brand loyalty and brand loyalty to purchase intention.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.2
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• pp.101-108
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• 2004

Recently, a semi-active shock absorber has been taking interest because of its low cost and simple structure than the active one. CFD analysis has been conducted to investigate the continuous and variable damping characteristics of the semi-active shock absorber. Also, the flow resistance characteristics of a spool valve has been examined to identify individual parameters(namely, exponent and discharge coefficient) of pressure-flow rate relation needed for the accurate valve modeling. The flow field in the damping valve was simulated using the commercial code, CFX-5.3. The numerical results showed reasonable agreement with the experimental outputs. The pressure distribution with the variation of spool opening length and volume flow rate were discussed in detail. And the continuous and variable damping performance was found clearly. The individual parameters of spool valve were obtained as a function of orifice area. The exponent and discharge coefficient were fitted in with the first and the third polynomial respectively.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6499-6504
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• 2014

Health information-seeking behavior (HISB) is active need-fulfillment behavior whereby health information is obtained from diverse sources, such as the media, and has emerged as an important issue within the transforming medical environment and the rise of medical consumers. However, little is known about the factors that affect HISB and its associations, and the health outcome of HISB. The aim of this study was to examine individual and social contextual factors associated with HISB and to systematically review their effects on health status among post-treatment cancer patients. Individual determinants of HISB included demographic factors, psychosocial factors, perceived efficacy and norms, and health beliefs. Contextual determinants of HISB encompassed community characteristics, neighborhood social capital, and media advocacy. Improving through factors on these two levels, HISB raised individuals' self-care management skills and medical treatment compliance, and enhanced shared decision-making and medical treatment satisfaction. Moreover, because HISB can differ according to individuals' social contextual conditions, it can give rise to communication inequalities. Because these can ultimately lead to health disparities between groups, social interest in HISB and balanced HISB promotion strategies are necessary.

• Journal of Intelligence and Information Systems
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• v.3 no.1
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• pp.31-45
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• 1997

To date, research on data mining has focused primarily on individual techniques to su, pp.rt knowledge discovery. However, the integration of elementary learning techniques offers a promising strategy for challenging a, pp.ications such as forecasting nonlinear processes. This paper explores the utility of an integrated a, pp.oach which utilizes a second-order learning process. The a, pp.oach is compared against individual techniques relating to a neural network, case based reasoning, and induction. In the interest of concreteness, the concepts are presented through a case study involving the prediction of network traffic for video-on-demand.

• 한국전산유체공학회:학술대회논문집
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• 2008.03b
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• pp.510-513
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• 2008

The traditional computational fluid or structure dynamics analysis approaches have contributed to solve many delicate engineering problems. But for the most of recent engineering problems which are influenced by fluid-structure interaction effect strongly, traditional individual approaches have limited analysis abilities for the exact simulation. Owing to above-mentioned reason, nowadays fluid-structure interaction analysis has become a matter of concern and interest. FSI analysis require several unprecedented techniques for the combining individual analysis tool into integrated analysis tool. The Arbitrary Lagrangian-Eulerian(ALE, in short) method is the new description of continum motion,which combines the advantages of the classical kinematical descriptions, i.e. Lagrangian and Eulerian description, while minimizing their respective drawbacks. In this paper, the ALE description is adapted to simulate fluid-structure interaction problems. An automatic re-mesh algorithm and a fluid-structure coupling process are included to analyze the interaction and moving motion during the 2-D axisymmetric solid rocket interior FSI phenomena simulation.

• 한국벤처창업학회:학술대회논문집
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• 2017.11a
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• pp.149-153
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• 2017

Intentions influence behaviors and, consequently, individual and organizational outcomes. The ability to understand intentions becomes a central issue. The objective of this study was to present and test an Entrepreneurial Intentions (EI) model. Drawing on a generally utilized paradigm, the theory of planned behavior and Shapero's model of the Entrepreneurial Event (SEE), we show the impact of individual and contextual factors on the intention development. Relying on the Global Entrepreneurship Monitor data(GEM), we test a EI conceptual model. The EI conceptual model is tested using the dataset of GEM over 30 countries and 3 subgroups. All the variables of interest indicate positive and significant effect on EI. Our results indicate that EI is influenced by Perceived Opportunity(PO), Perceived Capability(PC) and Government Support & Policy(GSP).

• Journal of the Korean Institute of Educational Facilities
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• v.24 no.1
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• pp.11-22
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• 2017

The main purpose of this research is to consider educational environment, concept, and spatial organization and its characteristic based on the early 20th century European child-centered educational philosophy. For this process, the study of the following have been done : 1) Literature review, which includes educational ideology, perspective of child development of Maria Montessori, Rudolf Steiner, Peter Peterson, and Celestin Freinet. 2) Comparisons of spatial organization and classrooms of schools operated with the educational philosophy of mentioned philosophers from above. These schools have classrooms(or multi-purpose space near classroom) contained self-directed individual learning space, group and collaborative learning space, and training space of practical life. These configuration of learning space intended 1) learning based on individual child's interest, experience 2) developing of responsibility based on freedom 3) sociality and community spirit of children.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.199-202
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• 1996

Although numerous studies demonstrate that one technique outperforms the others for a given data set, there is often no way to tell a priori which of these techniques will be most effective to solve a specific problem. Alternatively, it has been suggested that a better approach to classification problem might be to integrate several different forecasting techniques by combining their results. The issues of interest are how to integrate different modeling techniques to increase the prediction performance. This paper proposes the post-model integration method, which means integration is performed after individual techniques produce their own outputs, by finding the best combination of the results of each method. To get the optimal or near optimal combination of different prediction techniques. Genetic Algorithms (GAs) are applied, which are particularly suitable for multi-parameter optimization problems with an objective function subject to numerous hard and soft constraints. This study applied three individual classification techniques (Discriminant analysis, Logit and Neural Networks) as base models to the corporate failure prediction context. Results of composite prediction were compared to the individual models. Preliminary results suggests that the use of integrated methods will offer improved performance in business classification problems.