• Education of Primary School Mathematics
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• v.23 no.4
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• pp.207-227
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• 2020

The demand for private education in Korea is steadily increasing every year, and the participation rate of private education is increasing as the grade goes down. In order to empirically verify the effectiveness of private education, it is necessary to analyze through longitudinal data that has been mainly investigated over a long period of time. This study investigated the longitudinal changes in mathematics academic achievement and participation time in mathematics private education using longitudinal data from 2013 (4th grade in elementary school) to 2017 (2nd grade in middle school) of the Seoul Education Longitudinal Study. The students were divided into groups in which mathematics academic achievement changed similarly as the grade went up, and the effect of mathematics academic achievement was examined according to the change of participation time in private mathematics education for each group. As a result of the study, it was found that the participation time of private math education of all students continuously increased from the 5th grade of elementary school to the 2nd grade of middle school, and the participation time of private math education by group was different. In addition, the effect of private tutoring by group was different according to the group.

• Asia Pacific Journal of Business Review
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• v.2 no.1
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• pp.1-20
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• 2017

The model of success in South Korea from a pariah state coming from the ruins of the Korean War into a member of the Organization for Economic Cooperation and Development (OECD) with a trillion dollar economy is encouraging. The Korean economic experience in terms of entrepreneurship and poverty reduction is an intriguing jig saw puzzle to researchers. This paper looks at Korean entrepreneurship history from the 1960s and how it shaped the contemporary sustainable economic development success of the Korean economy. Using a qualitative approach, the study used the Korean case study in comparison with Sub Saharan Africa to explore five powerful lessons on how the region can replicate the Korean entrepreneurship experience. The study shows that entrepreneurship was key to the radical transformation of its economy and government was instrumental in latent nurturing of Korean entrepreneurial spirit.

• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.85-112
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• 2013

This study aims to understand the developmental trajectories of life satisfaction among retirees and to examine what factors differentiate different trajectory classes. This study used three waves of longitudinal data from Korean Retirement and Income Study and data collected every two years(2005, 2007, and 2009). Subjects were respondents aged 50-69 who identified to be retired between wave 1 and wave 2. Finally, this study used 243 respondents for final data analysis. Life satisfaction was measured by seven items. The latent class growth model and multiple logistic regression model were used for data analysis. This study identified three distinct trajectory classes: high stable class(47.7%), high at the early stage but decreased class(42.8%), and low at the early stage and then decreased class(9.5%). This study founded that approximately 50% of the retirees experienced the decline of life satisfaction after retirement and about 10% of the sample was the most vulnerable group. This study analyzed what factors make different among the distinct trajectory groups. As a results, retirees who experienced the improvement in health change were more likely to be in 'high stable class' compared to 'hight at the early stage but decreased class'. In addition, retirees who were less educated, maintained the same health status rather than the improvement, worked as a temporary or a day laborer, and had less household income were more likely to belong to 'low at the early stage and then decreased class' relative to 'high stable class'. This study suggests that there are distinct three trajectories on life satisfaction among the retirees and finds out factors differentiating between trajectory groups. Based on these findings, the study discusses the implications for social work practice and further study.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.87-95
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• 2018

Recently, with the technological development of artificial intelligence, related market is expanding rapidly. In the artificial intelligence technology field, which is still in the early stage but still expanding, it is important to reduce uncertainty about research direction and investment field. Therefore, this study examined technology trends using text mining and topic modeling among big data analysis methods and suggested trends of core technology and future growth potential. We hope that the results of this study will provide researchers with an understanding of artificial intelligence technology trends and new implications for future research directions.

• Communications of Mathematical Education
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• v.35 no.1
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• pp.97-118
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• 2021

Since the characteristics of teachers that affect mathematics academic achievement are constantly changing and affecting mathematics achievement, longitudinal studies that can predict and analyze growth are needed. This study used data from middle and high school students from 2013(first year of middle school) to 2017(second year of high school) of the Seoul Education Longitudibal Study(SELS). By classifying the longitudinal changes in mathematics academic achievement into similar subgroups, the direct influence of teachers' characteristics(professionalism, expectations, academic feedback) perceived by students on the longitudinal changes in mathematics academic achievement was examined. As a result of the study, it was found that the characteristics of mathematics teachers(professional performance, expectation, and academic feedback) in group 1(343 students), which included the top 14.5% of students, did not directly affect longitudinal changes in mathematics academic achievement. Students in the middle 2nd group(745, 32.2%) had academic feedback from the mathematics teacher, and the 2nd group(1225 students) in the lower 53%, which included most of the students, showed that the expectations of the mathematics teacher were the longitudinal mathematics achievement. The change has been shown to have a direct effect. This suggests that support for teaching and learning should also reflect this, as the direct influence of teachers' professionalism, expectations, and academic feedback on longitudinal changes in mathematics academic achievement is different according to the characteristics and dispositions of students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.391-399
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• 2017

The purpose of this study is to verify the causal relationship between social withdrawal and peer alienation among Korean children. The survey study participants were 2,110 children in 2nd, 3rd, 4th, and 5th grades. The 5-year longitudinal data (Korean Child and Youth Panel Survey; KCYPS) of 1st grade elementary school student cohort was used. Latent Growth Modeling was applied to analyze the causality over time of social withdrawal and peer isolation. The results revealed that the trajectories of children's social withdrawal decreased over time. Children's social withdrawal showed significant individual differences in terms of initial value and rates of change. The initial value and slope of children's social withdrawal had an effect on the peer alienation in the 3rd grade; however, there was no significant effect on the peer alienation in the 5th grade.

• Korean Journal of Family Social Work
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• no.53
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• pp.199-234
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• 2016

This study deals with the psycho-social development of children raised by disabled parents. In particular, we are willing to examine the influence of parental factors such as social engagement and future forecast on the change of children's psycho-social development. Using the three waves of Korean Welfare Panel Study data, these predictors were examined through the Latent Growth Curve Modeling. The result shows that parent's disability has a negative influence on their children's psycho-social development. However, similar to the findings of the previous studies, the degree of this influence tends to be decreased as children grow up. Lastly, two parental factors have a direct influence on the psychological development of children. Furthermore, parent's social engagement has an indirect influence on the change of sociality of children through the psychological change of them. This result means that we should encourage disabled parents to participate actively in social activities and think positively about their future.

• Anxiety and mood
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• v.17 no.2
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• pp.49-58
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• 2021

Objective : The purpose of this study was to investigate the longitudinal trajectories of life satisfaction, loneliness, and depression and to identify the factors that influence these trajectories in North Korean Defectors (NKD). Methods : NKD (n=300) who registered in the multi-regional adaptation center (Hana Center), within three years of settling in South Korea, were recruited into this study. Life satisfaction, loneliness, and depression were assessed with self-report questionnaires over a period of 4 years (7 waves of data). Latent growth modeling was conducted to assess the changes in life satisfaction, loneliness, and depression. Results : Findings from both unconditional and conditional models (with gender, South Korea settlement age, household income, marital status, and PTSD at wave 1) indicated a linear increase in loneliness and depression, and a linear decrease in life satisfaction over the 4-year period. In the conditional model, gender predicted the intercept of life satisfaction and depression. In addition, PTSD predicted the intercept of life satisfaction, loneliness, and depression and slope of depression. Conclusion : Our finding suggests that the mental health of NKD tends to deteriorate over time after settling in South Korea. Therefore, continuous support is necessary for their successful adaptation to the South Korean Society.

• Convergence Security Journal
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• v.6 no.3
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• pp.117-126
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• 2006

Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, could avoid multiple integration using Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference for general order statistics models in software reliability with diffuse prior information and model selection method are studied. For model determination and selection, explored goodness of fit (the error sum of squares), trend tests. The methodology developed in this paper is exemplified with a software reliability random data set introduced by of Weibull distribution(shape 2 & scale 5) of Minitab (version 14) statistical package.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.339-349
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• 2019

The purpose of this study is to analyze the influential factors on the change in life satisfaction of elderly households. In this study, single and couple elderly households were defined as elderly households and the 2nd, 3rd, and 4th data of the Korean Longitudinal Survey of Ageing (KLoSA) provided by the Korea Employment Information Service (KEIS) were used. And 677 respondents aged 65 and over who had replied to all 3 sessions were included in the final subjects. multinomial logistic regression analysis was conducted to examine the influential factors on life satisfaction by the type of elderly households according to consumption pattern and the result showed that there were common influential factors such as house owning status and subjective health status and the factors that influence specific types such as expectancy of standard of living. In addition, in the longitudinal analysis of life satisfaction of elderly households, individual satisfaction level was confirmed to reduce with time and the factors that influence the longitudinal change in the level of life satisfaction of elderly households was analyzed through the conditional model of a latent growth model. The analysis results showed that household type, house owning status, and subjective health status influenced the initial value of life satisfaction of elderly households while household type and expectancy of living standard influenced the change rate of life satisfaction of elderly households. Based on the results of this study, the followings are suggested. There is a need to improve the life satisfaction of old age by increasing the opportunity for self-realization of elderly households and also policy approach should be made selectively taking various types into consideration.