• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.789-807
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• 2010

This study was carried out in order to explore possibility of artistic activity for strengthening creativity of the gifted children at home by analyzing influence of the gifted children's musical experience and interest level upon creativity. As a result of research, the gifted children's musical experience and interest level were distributed in the mid-lower rank as a whole. The mean in score of creativity was high. Among sub-spheres, originality, abstractness of titles, and resistance to premature closure were surveyed to be especially excellent. And the result of this study was indicated to be high in influence of musical experience and interest level upon creativity. Some conclusions and implications that were obtained through this study are as follows. First, to explore influence of musical experience as artistic activity upon creativity, first of all, the qualitative inspection needs to be given priority to musical activity itself, which is being experienced by the gifted children as the research subjects. Second, there is necessity of paying attention to the musical experience and interest level of the low gifted children. Third, for the gifted children prior to activation of art education, a clear reason why the art education is needed and the usefulness need to be presented.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.493-497
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• 2016

Infrared (IR) imaging is capable of detecting targets that are not visible at night, thus it has been widely used for the security and defense system. However, the quality of the IR image is often degraded by low resolution and noise corruption. This paper addresses target segmentation with the IR image. Multiple regions of interest (ROI) are extracted by the multi-level segmentation and targets are segmented from the individual ROI. Each level of the multi-level segmentation is composed of a k-means clustering algorithm an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering algorithm initializes the parameters of the Gaussian mixture model (GMM) and the EM algorithm iteratively estimates those parameters. Each pixel is assigned to one of clusters during the decision. This paper proposes the selection and the merging of the extracted ROIs. ROI regions are selectively merged in order to include the overlapped ROI windows. In the experiments, the proposed method is tested on an IR image capturing two pedestrians at night. The performance is compared with conventional methods showing that the proposed method outperforms others.

• Journal of the Korean Society of Costume
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• v.26
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• pp.211-220
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• 1995

The purpose of this study was to examine the relationships between the interest of apparel ad-vertising direct mail(DM) and the consumers' characteristics ; like their marital state, age, educational level, expenses on clothing purchase, and rigidity. Samples were 243 women(24∼35 years of age) in the Seoul, Korea. The data were analyzed using t-test, one-way ANOVA, Duncan's multiple range test, and discriminant analysis. The results of the study were the followings. 1. The department store sent out the most ap-parel advertising DM and the most common dis-tribution method was carrying the DM with the newspapers, 2/3 consumers paid attention to the contents of the apparel advertising DM with 'some interests'. 2. Jackets and pants were the most purchased items after seeing the apparel advertising DM. 3. The interest in the contents of the apparel advertising DM varied according to the consumers' marital state ad the expenses on cloth-ing purchase. 4. Rigidity, age, educational level, and the clothing purchase expenses contributed to discriminant the interesting or uninteresting group in DM. The accuracy rate of the predicting the groups by the 4 variables was 60.91%.

• Management & Information Systems Review
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• v.15
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• pp.91-108
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• 2004

In this article, We propose research propositions about correlates of job interest, job difficulty, job effort, and job performance as well as job performance and emotions while working. The purpose of this study is to review existing research on emotions and job performance, particularly emotions at work. The purpose of this article is to review existing research on job performance and emotions, particularly at the job relevant cognitions level. In this study, We propose research propositions about correlates of job performance and emotions while working. The purpose of this article is to develop and propose research propositions about potential correlates of perceived performance at the job relevant level. Correlates include those that should function mainly as antecedents of performance, such as job difficulty, job interest, and job effort in the study are emotions experienced concurrently with job performance. Therefore, We suggest the predictive direction and bivariate relationship of the set of among variables in explaining job performance and emotions.

• Journal of Labour Economics
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• v.41 no.4
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• pp.107-131
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• 2018

This paper presents a model for the Minimum Wage Commission's decision process and analyzes the strategic actions of the participants in the process. The Minimum Wage Commission has used two ways of setting the minimum wage. The commission has voted either on the labor's against the management' final proposals or has voted on the public interest commissioners' proposal. According to the model, the minimum wage is determined at a level that is very close to or at a level preferred by the median voter among the public interest commissioners. But the probability of adopting labor or management proposal is ex-ante the same. Empirical evidence from the minimum wage decision process is consistent with the predictions of the model. The probability of adopting the labor's proposal in the minimum wage commission voting is not statistically significantly different from 50%. The model also suggests that the preference of the median voter among public interest commissioners determines the minimum wage level. Since the government appoints public interest commissioners and thus, in fact, the median voters, the government can decide the minimum wage level. This proposition is also consistent with data. The annual growth rate of the minimum wage under the progressive governments is higher than under conservative governments.

• The Mathematical Education
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• v.39 no.1
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• pp.11-20
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• 2000

Compared with other subjects, mathematics has great differences in achievement. In hope of solving this problems, most schools the level-movement learning. Although they say it may have some effect because of its homogeneous group, the level groups still have differences in achievement in their students abilities. So, this study aims to present an appropriate tasks for the advanced intermediate and beginner groups and to help self-directed learning by selecting an appropriate tasks for the students' own level. To achieve thiese goals, a great deal of level tasks were developed and given to the students. After lettins them an select appropriate tasks for their own level and perform self-directed teaming, the tasks were measured carefully for their interest attitude and achievement in learning. Consequently, we tried a new method to improve uniformity and to turn teacher-centered learning into student-centered teaming. The following is the conclusion to this study. First self-directed teaming based on the selection of level tasks has meaningful effects on learning achievement in mathematics, especially for the beginner group. Second though the above method did not improve an interest for mathematics, but was very effective in the improvement of learning attitudes.

• Fashion & Textile Research Journal
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• v.15 no.2
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• pp.210-218
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• 2013

This study examined the degree of appearance interest and clothing conformity, the impacts of appearance interest on clothing conformity, and the effects of appearance interest and demographic variables on clothing conformity. A questionnaire survey collected data from October $3^{rd}$ to $27^{th}$ 2011. A convenience sample was drawn from adults between the ages of 17 and 76 who lived in the Daegu and Gyeongbuk regions of South Korea. A total of 513 responses produced complete and usable questionnaires. Data were tested through factor analysis and regression analysis, using SPSS 20.0. The results of this study are as follows : First, three factors were extracted from clothing conformity (normative, informative, identifiable conformity). The appearance interest was relatively high and normative conformity was the highest level among three factors of clothing conformity. Second, appearance interest was significant predictors of clothing conformity. Third, demographic variables such as gender, marital status, age and education levels had significant effects on the relationship between appearance interest and clothing conformity.

• KDI Journal of Economic Policy
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• v.44 no.3
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• pp.1-26
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• 2022

This paper analyzes the effects of the cut in the legal maximum interest rate (from 27.4% to 24%) that occurred in February of 2018 on loan interest rates, the default rates, and the loan approval rate of borrowers in the non-banking sector. We use the difference-in-difference identification strategy to estimate the effect of the cut in the legal maximum interest rate using micro-level data from a major credit-rating company. The legal maximum rate cut significantly lowers the loan interest rate and default rate of low-credit borrowers (i.e., high-credit-risk borrowers) in the non-banking sector. However, this effect is limited to borrowers who have not been excluded from the market despite the legal maximum interest rate cut. The loan approval rate of low-credit borrowers decreased significantly after the legal maximum interest rate cut. Meanwhile, the loan approval rate of high-credit and medium-credit (i.e., low credit risk and medium credit risk) borrowers increased. This implies that financial institutions in the non-banking sector should reduce the loan supply to low-credit borrowers who are no longer profitable while increasing the loan supply to high- and medium-credit borrowers.

• Journal of the Korean Society of Earth Science Education
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• v.6 no.3
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• pp.207-220
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• 2013

The aim of this study was to find out the effect of instruction with storytelling on the achievement, attitude and interest in science. For this study, two classes were divided into experimental class and comparative class. All the results were analyzed quantitatively. Results of this study can be described as follows. First, the experimental class didn't have a significant difference in scholastic achievement compared with the comparative class. However, the results of the t-test for the academic achievement due to achievement level showed a positive effect in the average level of students. And experimental group was statistically significantly higher in the section of 'Combustion and Extinguishment' than that of the other group. Second, There was a significant difference in the aspect of the effect of instruction with storytelling on the student's science-related attitudes. As a result of analysis by sub categories of science-related attitudes, storytelling was effective in attitude toward science, but no significant differences were found in scientific attitude. Third, instruction with storytelling didn't show a meaningful difference in scientific interest. However, in the sub-part, they showed a meaningful improvement in attention and satisfaction.

• The Journal of Information Systems
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• v.31 no.1
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• pp.219-238
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• 2022

Purpose The purpose of this study is to investigate the structural relationships between interest, interaction level, presence, which are the characteristics of metaverse, learning immersion, and learning satisfaction, which are learning factors. Design/methodology/approach A questionnaire survey technique was used to achieve the purpose of the study. A questionnaire survey was conducted from November 22 to December 5, 2021, with students with experience in non-face-to-face classes using Gather Town and a total of 114 copies of the questionnaire excluding those with insincere answers were used for empirical analysis. SPSS Win ver.23.0 was used for basic statistical analysis, and AMOS 22.0 was used for the establishment and analysis of a structural equation model. Findings According to the study findings, interest and interaction levels had effects on learning immersion and learning presence, self-efficacy on learning presence, and learning immersion and learning presence on learning satisfaction. This study is meaningful in that it conducted an empirical study to find variables for improving learning immersion by conducting classes based on metaverse. Based on the findings of this study, it was found that interest and interaction, which are the biggest characteristics of metaverse, sustain learning participation and immersion and increase presence thereby enhancing learning satisfaction so that the possibilities of metaverse as a next generation education platform passing the limit of existing real time video platforms can be peeped.