• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.63-71
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• 2016

The purpose of this study is to investigate factors affecting dropout intention based on education satisfaction survey analysis of local J university. Total 7,248 survey data which has high trustability were analyzed. Analysis of variance was performed to verify differences between each grade and credits level. There are significant differences between the year grade and credit level. Especially the result show that the satisfaction of freshman is higher than the other grade students. To verify relation between intention to dropout and satisfaction of university education logistic regression analysis method has been applied and satisfaction of academic guidance, vocational guidance, environment of education and self-satisfaction of university life are significantly related to the dropout intention. The most important variable is self-satisfaction of university life which determine dropout intention through decision tree analysis.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.27 no.3
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• pp.173-180
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• 2016

Objectives: The purpose of this study was to explore the influence of high school students' mental health on their academic achievement and school dropout rate by using longitudinal data. Methods: For this study, 153 high schools were randomly sampled on a nationwide scale. The descriptive data was collected from a school information internet site which is organized by the Korean Ministry of Education. We used the schools' mean scores on the Adolescent Mental Health Problem-Behavior Questionnaire-II (AMPQ-II) scale which was used for estimating students' mental health in the 2013 school-based mental health screening test. The data analysis was conducted by using hierarchical regression analysis. Results: The results of this study showed that the AMPQ-II scale's mean scores have significant effects on the following year's academic achievement and annual dropout rates. Especially, the AMPQ-II scale's mean scores tend to increase the school dropout rate in vocational schools. Conclusion: The finding of this study is that Korean high school students' mental health states significantly influence their academic achievement and school dropout rate.

• Journal of Korean Academy of Dental Administration
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• v.10 no.1
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• pp.9-21
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• 2022

This study was carried out to understand the influence of dental technicians' image and major satisfaction on dental technology students' dropout intention. A questionnaire survey was administered to 273 students in the Department of Dental Technology. Frequency analysis, independent sample t-test, one-way ANOVA, and multiple regression analysis were performed. The results are as follows: The image of dental technicians differed significantly depending on factors such as school year, personality, whether a family member is a dental technician or not, reason for choosing a department, difficulty in one's own academic life, and disciplinary life adaptation (p<0.05). The image of dental technicians was seen to be positively perceived when the respondent had an affirmative personality, or had a dental technician among family members or chose the department for its uniqueness, or found no difficulty in academic life, and adapted well to a situational or environmental change. Major satisfaction of dental technicians was seen a meaningful difference in items such as school year, personality, awareness of dental technicians, reason for choosing a department, the difficulty in own academic life, and the disciplinary life adaptation (p<0.05). Individuals with high major satisfaction and low dropout intention included those with a positive personality, who think affirmatively about dental technicians, who chose a department owing to suiting the aptitude and interest or to the uniqueness of the major. The influential factors on dropout intention included general satisfaction out of major satisfaction, perspective and self-confident image among dental technicians, and an awareness of dental technicians. The establishment of a desirable image of dental technicians and the improvement in major satisfaction are considered likely to contribute to reducing the dropout intention of dental technology students.

• Journal of the Korean Society of Child Welfare
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• no.59
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• pp.209-234
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• 2017

This study viewed schools as a cause of students dropping out and posited that dropping out of high school would vary depending on the characteristics and influencing factors of the school from which students were dropping out. Therefore, focusing on schools, we longitudinally investigated the change patterns of school dropout across high schools in the country, and the types of changes in dropping out of high school. In addition, we predicted the general characteristics of schools according to the type of school students were dropping out from, looked at the changes in the major factors (i.e., school violence and school counseling) affecting school dropout, and reviewed schools' long-term efforts and outcomes in relation to school dropout. For this purpose, KERIS EDSS's "Secondary School Information Disclosure Data" were used. The final model included data collected five years20122016) from high schools across the country. The results were as follows. First, in order to examine the longitudinal change patterns of dropping out of high schools, a latent growth models analysis was conducted, and it revealed that, as time passed, the dropout rate decreased. Second, growth mixture modeling was used to explore types according to the change patterns of the school students were dropping out from. The results showed three types: the "remaining in school" type, the "gradually decreasing school dropout" type, and the "increasing school dropping out". Third, the multinomial logistic regression was conducted to predict the general characteristics of schools by type. The results showed that public schools, vocational schools, and schools with a large number of students who have below the basic levels in Korean, English and mathematics were more likely to belong to the "increasing school dropout" type. Further, the larger the total number of students, the higher the probability of belonging to the "remaining in school" type or the "gradually decreasing school dropout" type. Lastly, growth mixture modeling was used to analyze the trend of school violence and school counseling according to the three types. The focus was on the "gradually decreasing school dropout" type. In the case of the "gradually decreasing school dropout" type, it was found that as time passed, the number of school violence cases and the number of offenders gradually decreased. In addition, in terms of change in school counseling the results revealed that the number of placement of professional counselors in schools increased every year and peer counseling was continuously promoted, which may account for the "gradually decreasing school dropout" type.

• Journal of the Korea Society for Simulation
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• v.32 no.4
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• pp.19-26
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• 2023

The increase in the dropout rate of college students nationwide has a serious negative impact on universities and society as well as individual students. In order to proactive identify students at risk of dropout, this study built a decision tree, random forest, logistic regression, and deep learning-based dropout prediction model using academic data that can be easily obtained from each university's academic management system. Their performances were subsequently analyzed and compared. The analysis revealed that while the logistic regression-based prediction model exhibited the highest recall rate, its f-1 value and ROC-AUC (Receiver Operating Characteristic - Area Under the Curve) value were comparatively lower. On the other hand, the random forest-based prediction model demonstrated superior performance across all other metrics except recall value. In addition, in order to assess model performance over distinct prediction periods, we divided these periods into short-term (within one semester), medium-term (within two semesters), and long-term (within three semesters). The results underscored that the long-term prediction yielded the highest predictive efficacy. Through this study, each university is expected to be able to identify students who are expected to be dropped out early, reduce the dropout rate through intensive management, and further contribute to the stabilization of university finances.

• Journal of muscle and joint health
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• v.6 no.2
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• pp.185-196
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• 1999

The purpose of this study was to identify influencing factors adherence and dropout of aquatic exercise in patients who had been diagnosed chronic arthritis. Subjects were 54 patients with rheumatoid arthritis and osteoarthritis who had participated in the 6-week aquatic exercise program in Taejon metropolitan city. Data was collected from march 25 to April 25, 1999 through face to face and telephone interview. Result are as follows. Fourteen subjects(26.0%) were adherer who was keeping aquatic exercise. The reasons of aquatic exercise adherence were improvements of physical and affectional factors. And the major reasons of dropout was an environment factors(65.8%) and second reasons was physical factors(34.2%). Participants of friends(r=.34, p=.014) was significantly associated with the total duration of an aquatic exercise adherence. For these results, the nurse who care to patients with arthritis have to encourage to maintain aquatic exercise within six month after they begin aquatic exercise.

• Transactions on Electrical and Electronic Materials
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• v.18 no.5
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• pp.257-260
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• 2017

In this paper, we present the design of a 4.5 V low dropout (LDO) voltage regulator implemented in the 130 nm CMOS process. The design uses a two-stage cascaded operational transconductance amplifier (OTA) as an error amplifier, with a body bias technique for reducing dropout voltages. PMOS is used as a pass transistor to ensure stable output voltages. The results show that the proposed LDO regulator has a dropout voltage of 32.06 mV when implemented in the130 nm CMOS process. The power dissipation is only 1.3593 mW and the proposed circuit operates under an input voltage of 5V with an active area of $703{\mu}m^2$, ensuring that the proposed circuit is suitable for low-power applications.

• Journal of Information Technology Applications and Management
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• v.28 no.4
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• pp.21-32
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• 2021

In this study, factors affecting undergraduate students' dropout intentions consisted of aptitude and career fit of student's major, employement prospects of student's major, and graduation attitude were presented in the structural equation model and the moderating effect of academic year on the path coefficeint presented in the research model was verified. Undergraduate students are grouped into senior year (3rd and 4th grades) and junior year(1st and 2nd year) by the year in the university, As a result of analyzing 454 undergraduate students (105 in the junior group and 349 in the senior group), it was found that graduation attitude had a negative (-) effect on the dropout intention in both junior and senior group. The effect of employment prospects, and major aptitude and career firt on graduation attitude was not found in the junior group. However, in senior group, the effect of employment prospects, and major aptitude and career firt on graduation attitude was found to have a positive (+) effect, indicating that moderating effect of academic year does exist.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.386-398
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• 2017

The purpose of this study was to examine what kind of changes adolescents experienced in the process of returning from the school dropout. For this purpose, 'Qualitative Meta-Analysis' was conducted for seven papers of this area, which was published in Korean journals as a method. 'Qualitative Meta-Analysis' is a method of presenting new interpretations by synthesizing qualitative studies on the same topic. In this study, the qualitative research on the process of returning from the school dropout was selected. The final articles selected for the analysis were seven articles published in domestic journals. The results obtained by comparing and analyzing the selected individual papers were as follows. For adolescents, a series of the process of returning from school dropout was 'self-growth through introspection and support.' In this process, there were five stages of change: abandonment, drifting, self-awareness, decisive action, and struggles. Relevant factors that led to this change were self-perception, the awareness of a reality, resources and support. Based on these results, the characteristics of each step were explained and discussed. Finally, the implications and limitations of the study were clarified and the follow-up study was proposed for more detailed examination.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2504-2513
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• 2012

The purpose of this study is to examine what is the path that family and socio-environmental factors of adolescents lead to school dropout called educational crisis behavior. To investigate these research problems, the path was analyzed on the basis of the related data and variations after interview with 120 crisis adolescents in 'J Youth Counseling Center' in Jeon-ju City. By the results of this analysis, the family ties as a familial factor and the deviation friends as a socio-environmental factor had an effect on adolescents' school dropout behavior. These results indicate the need to reform the interpersonal relationship in family and school friends for preventing and solving the adolescents' crisis behavior such as school dropout behavior.