• Journal of Korean Elementary Science Education
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• v.22 no.1
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• pp.81-96
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• 2003

The purpose of this study is to draw up the promoting plan of science preference by survey and analysis of the preference for science of the elementary students. The preference for science is defined theoretically with three categories ; they are emotional response, behavioral response and value establishment. Causal factors of the science preference were composed of individual factor, educational factor and social factor. According to this theoretical model, a questionnaire was developed, and administered to 696 students of 4,5,6 grade of randomly selected eight elementary schools all over the nation. Elementary students liked science, but they didn't want to select their future job in science-technology area. The science preference of boys was higher than that of girls. The science preference of 4th grade students was higher than that of 5th and 6th grade students. Individual factor affected the curiosity. learning interest, subject accomplishment on the science and course selection in life. Educational factor not only directly affected the curiosity. learning interest, value establishment and belief of the science but also indirectly affected the individual factor and social factor. Therefore, educational factor was the most important on the science preference. Social factor only affected the value establishment and belief on the science. Elementary students wanted to team science through experiment and they wanted science to be easier than that of now. On the analysis of result, the promoting plan of the science preference was suggested.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.420-420
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• 2008

• Journal of The Korean Association For Science Education
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• v.27 no.1
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• pp.9-17
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• 2007

This study sets out to assess the scientific literacy of secondary school students and to describe their differences according to gender, grade, course. This study involved 112 middle school students and 213 high school students. Their scientific literacy was measured by the Scientific Literacy Test designed by Manhart (1997). A 70-item multiple-choice test was used to assess their scientific literacy. The constructs of science factor included 36 items making up physical science, life science, and earth science subtests. The social aspects of science factor consisted of 34 items in nature of scientific inquiry/knowledge, science as a human endeavor, science and technology, and societal perspectives. A two-way analysis of variance (ANOVA) and t-test were conducted using the SPSS program. The scientific literacy score of the middle school students was 45.17. There was no significant difference according to gender but boys tended to perform better than girls on both the constructs of science factor and the social aspects of science factor. The scientific literacy score of the high school students was 51.79. There was no significant difference according to gender. But, boys tended to perform better than girls on the constructs of science factor. Girls tended to perform better than boys on the social aspects of science factor. The students taking a course on natural science got statistically higher scores than the students taking a course on humanities. The high school students got statistically higher scores than the middle school students.

• Korean Journal of Artificial Intelligence
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• v.12 no.1
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• pp.7-16
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• 2024

This study aims to explore driving factors of Artificial Intelligence application for city marketing strategy with perspectives of millennials and generation Z. This study proposed the following research questions: i) how perceived place branding factor, public service factor, affective factor, immersive experience factor, cognitive factor, cost benefit factor, social networking factor, and promotional value factor affect attitude toward AI application for city marketing; and ii) how attitude affect satisfaction and prospect toward AI application for city marketing? This study conducted an online survey with the assistance of a well-known research agency and applied factor and regression analysis to test hypotheses. The results found that effects of place branding, cognitive, social networking, and promotional value affect attitude significantly in the case of millennials, while effects of public service, affective, cost benefit, social networking, and promotional value affect attitude significantly in the case of generation Z. The results found that effects of attitude on satisfaction and prospect of AI showed significance. The results provide implications and different aspects for AI application of city marketing strategy with perspectives by generations, while millennials and generation Z perceived effects of promotional value as the most significant factor for AI application of city marketing strategy.

• Journal of The Korean Association For Science Education
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• v.27 no.7
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• pp.570-582
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• 2007

The purpose of this study was to analyze the causal relationship among students' science-related career choice and its factors. The causal relationship was analyzed using structural equation modeling. According to the most fitting model, science career aspiration had a direct and total effect of 0.95 (standardized coefficient) on the science career choice, and personal factor had an indirect and total effect of 0.75 on the science career choice, educational factor, 0.46, and social factor, 0.11. Personal factor had a direct and total effect of 0.79 on the science career aspiration, educational factor with total effect of 0.48 (direct effect -0.21, indirect effect 0.69), and social factor with direct and total effect of 0.12. On the other hand, educational factor had a direct and total effect of 0.72 on the social factor, and a direct and total effect of 0.77 on the personal factor. The difference in the causal effect among grades and between gender was analyzed. The difference was only in the magnitude of influence among grades, showing the same tendency with the total number of students, but the difference between gender was contrastive. For the boys, social factor had the biggest effect on the science career choice, next was personal factor, and the educational factor had the smallest effect. The girls' science career choice influenced mostly from personal factor, and the other two factors' effects were not high. The social effect was negative for the girls' science career choice. The implications of proper science career education were discussed from these results, considering the causal relationship among factors of science career choice and its factors.

• Journal of the Korean Home Economics Association
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• v.40 no.4
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• pp.125-138
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• 2002

The purpose of this research is to delineate the effects of the material adult attachment and affectionate child-rearing behavior on the social competence of a child. The levels of mother's education and income, as well as the maternal adult attachment and affectionate child-rearing behavior have been chosen for the analysis. The sample subjects selected for the research include 287 pairs of fifth/sixth grade students, their mothers, and eight of the classroom teachers, all from Kwangiu city. The major findings are as follows: First, in measuring the social competence score of a child and the maternal adult attachment, affectionate child-rearing behavior, the scores, in general, tend to be above the mean scores. Second, looking at the correlation between the mother's education/income level and affectionate child-rearing and the child's social competence level, the affectionate child-rearing and the social competence factors only show difference correlating to the mother's education, high school or higher, as opposed to the level of junior high and lower, the difference is significant. Third, the results of multiple regression analysis on the effects of the variables to the child's social competence indicates that affectionate child-rearing is the most significant contributing factor, followed by the mother's education, the close attachment factor, income, and the anxiety attachment factor, in that order All in all, the variables account for 18% of the child's social competence score.

• Journal of the Korean Home Economics Association
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• v.33 no.4
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• pp.37-47
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• 1995

The purpose of this study was to develop the Children's Social Support Scale to assess three potential aspects of social support in elementary school age children ; the children's subjective apprasials of family, peer, and teacher support ; the frequency of supportive behaviors available from the child's support network; and the size of children's social support network. The subjects of this study were 380 children of forth and sixth graders in elementary schools located in Seoul. The 68 items(perceived support scale 30 items, enacted support scale 35 items, and support network 3 items) were analyzed by the statistical methods of item analysis, principal factor analysis, Factor analysis revealed that a three factor solution was the best for the Perceived Support scale ; family peer, teacher support. Enacted Support scale comprised of three factors; emotional, self-esteem, and informational support. Support Network scale was composed of emotional, self-esteem, and informational support network. Reliabilities for the domains ranged form .75-89. It was concluded that the children's Social Support scale in general is acceptable for use in Korea.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.163-177
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• 2021

Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

• Korean Journal of Social Welfare
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• v.52
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• pp.117-141
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• 2003

This study is to identify the efficiency in Busan social welfare agencies between input factors and output factors. For this purpose, gathered are the 2001 services reports of those study agencies. This study used 4 difference model, model 1; comparing input factor(social worker number & labor cost) about output factor(the total number of program used person), model 2; comparing input factor(the total number of social welfare agencies staff & the total working expenses) about output factor(the total number of program used person), model 3; comparing input factor(the total number of volunteer, social welfare agencies staff & a period of operation) about output factor(the total number of program used person), model 4; comparing input factor(the total number of volunteer, social welfare agencies staff, a period of operation & the total working expenses) about output factor(the total number of program used person). Charnes's study(1978) provided an analytical tool for efficiency services output of non-profit organizations, and DEA(Data Envelopment Analysis) was a analytical framework for evaluating the impact of social service outcome. the finding are as follows : (1) In the results of comparing 4 models as same standard, we can find 35-55%(16-25) efficiency agencies among the 45 social welfare agencies. (2) For all DMU becoming the efficiency 1 to standard of output factor, model 1; 33 agencies are increasing the social worker number($\Delta$0.8 number), 10 agencies are raising the labor cost of social worker($\Delta$1,189,000 Won), model 2; 30 agencies are increasing the total number of social welfare agencies staff($\Delta$1.25 number), 14 agencies are raising the total working expenses($\Delta$1,447,000 Won), model 3; 8 agencies are increasing the total number of social welfare agencies staff($\Delta$2.26 number), 14 agencies are increasing the total number of volunteer($\Delta$52 number), and 10 agencies are increasing a period of operation($\Delta$13 month), model 4; 24 agencies are increasing the total number of social welfare agencies staff($\Delta$1.8 number), 12 agencies are raising the total working expenses($\Delta$5,017,000 Won), 12 agencies are increasing the total number of volunteer($\Delta$43.2 number), and 23 agencies are increasing a period of operation($\Delta$16 month).

• Journal of Korea Game Society
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• v.13 no.3
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• pp.55-68
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• 2013

This study examined the factors determining experience of flow in mobile social network games. Built upon the literature on flow experience in the Internet and online games, this study classified the determining factors into three categories. The first category is the content factor which includes graphic design, challenge, and incentive; the second is the device factor including ease of access and ease of control; the third is the social factor including social interaction and community activities. A correlation analysis was conducted to examine the association between each of the seven determining factors and flow experience. Additionally, a hierarchical regression analysis was performed to evaluate which of the selected factors would exert a relatively strong influence on experience of flow. Both analyses reached the same conclusions as follows: Graphic design, incentive, and community activities increase flow experience while challenge and ease of control exert little influence on flow experience. In addition, graphic design was the most influential element in determining flow experience, followed by community activities and incentive, respectively.