• 수산해양교육연구
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• 제28권2호
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• pp.550-563
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• 2016

This study examined well-being as a mediator between self-discrepancy and dropout intention of junior college Student. 270 students in Busan answered the questionnaire about self-discrepancy, well-being, dropout intention. Structural equation modeling indicated that there were the complete mediating effect of well-being in the relationship between self-discrepancy and dropout intention. It indicated discrepancy between individuals' representation of their actual self(their actual self-state) and their representation of individual's hopes and aspirations(their ideal self-guide) affects junior college students' dropout intention, and well-being mediate process of self-discrepancy leading to dropout intention. This conclusion provide the significant implications that help preparing psychosocial intervention strategy for junior college students to decrease dropout intention and intervention strategy to enhance their well-being.

• 한국컴퓨터정보학회논문지
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• 제23권5호
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• pp.65-72
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• 2018

This study analyzes college dropout cases to reduce its rate. The analysis is preferentially carried out by figuring out our current situation of college dropout rate in pertinent cases and all around country's. Based on the current states, statistical analysis is accomplished as follows; analyzing the characteristic differences between the being in school's and the dropouts' by T-Test, determining the influence factor by logistic regression analysis and drawing the target group for special treatments through these statistical analysis. To reduce dropout rate, several measures could be adopted; focused counseling for each target group, special monitoring for students on leave of absence and opening major subjects for improving relationship between students and professors. The measures suggested by the analysis through this study are expected to lower the dropout rates effectively in college or specific fields including engineering science.

• 대한통합의학회지
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• 제12권2호
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• pp.155-166
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• 2024

Purpose : This study aims to identify key factors for predicting dropout risk at the university level and to provide a foundation for policy development aimed at dropout prevention. This study explores the optimal machine learning algorithm by comparing the performance of various algorithms using data on college students' dropout risks. Methods : We collected data on factors influencing dropout risk and propensity were collected from N University. The collected data were applied to several machine learning algorithms, including random forest, decision tree, artificial neural network, logistic regression, support vector machine (SVM), k-nearest neighbor (k-NN) classification, and Naive Bayes. The performance of these models was compared and evaluated, with a focus on predictive validity and the identification of significant dropout factors through the information gain index of machine learning. Results : The binary logistic regression analysis showed that the year of the program, department, grades, and year of entry had a statistically significant effect on the dropout risk. The performance of each machine learning algorithm showed that random forest performed the best. The results showed that the relative importance of the predictor variables was highest for department, age, grade, and residence, in the order of whether or not they matched the school location. Conclusion : Machine learning-based prediction of dropout risk focuses on the early identification of students at risk. The types and causes of dropout crises vary significantly among students. It is important to identify the types and causes of dropout crises so that appropriate actions and support can be taken to remove risk factors and increase protective factors. The relative importance of the factors affecting dropout risk found in this study will help guide educational prescriptions for preventing college student dropout.

• 대한한의학회지
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• 제37권3호
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• pp.62-73
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• 2016

Objectives: Dropout and weight regain are common problems in most obesity treatments. The purpose of this study was to review previously published study results of the predictive factors associated with dropout during weight loss treatment and weight loss maintenance after successful weight loss. Methods: Authors searched for the articles related to dropout and weight loss maintenance, published from 2007 to 2016 found on Pubmed, Scopus, RISS, and KISS. A total of 19 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to dropout and weight loss maintenance categories. Results: The unchangeable predictors of dropout were younger age, lower education level and female, whereas the changeable predictors of dropout were lower initial weight loss, symptoms of depression and body dissatisfaction. The strongest factor for predicting the dropout was initial weight loss. The unchangeable predictors of weight loss maintenance were old age, male and family history of obesity, whereas the changeable predictors of weight loss maintenance were regular exercise, dietary restraint, self-weighing and low depressive symptoms. Initial weight loss, depressive symptoms, body image, dietary restraint, physical activity, weight loss expectation and social support were considered to be dominant factors for weight loss treatments. Conclusions: Our review results suggest that unchangeable and changeable predictors of dropout and weight loss maintenance should be carefully examined during treatments of obesity.

• 융합정보논문지
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• 제11권2호
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• pp.138-145
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• 2021

본 연구는 전문대학생의 학업스트레스가 중도탈락의도에 영향을 미치는지를 살펴보고, 학업스트레스와 중도탈락의도의 관계에서 학업지연행동의 매개효과를 검증하는데 목적이 있다. 연구문제는 첫째, 전문대학생의 학업스트레스는 중도탈락의도에 영향을 미치는가 둘째, 전문대학생의 학업스트레스와 중도탈락의도 간의 관계에 학업지연행동이 매개효과가 있는가이다. 이를 위해 J대학교 218명을 대상으로 학업스트레스, 중도탈락의도, 학업지연행동 설문조사를 실시하였다. 학업스트레스, 중도탈락의도, 학업지연행동 관계를 알아보기 위해 상관분석을 실시하고, 학업지연행동의 매개효과를 분석하기 위해 위계적 다중회귀분석을 실시하였다. 매개효과의 검증은 Baron과 Kenny의 절차를 이용하여 검증하였고, 유의성 검증은 Sobel 검증을 실시하였다. 본 연구결과는 다음과 같다. 첫째, 학업스트레스와 중도탈락의도, 학업지연행동은 정적상관을 나타냈다. 둘째, 학업스트레스가 중도탈락의도에 영향력 있는 요인으로 15%의 설명력을 보였으며, 학업지연행동에 영향력 있는 요인으로 5%의 설명력을 보였다. 셋째, 학업스트레스가 중도탈락의도에 미치는 영향에서 학업지연행동의 부분매개효과가 있는 것으로 나타났다. 연구 결과를 바탕으로 본 연구의 시사점과 전문대학생의 중도탈락의도를 낮추기 위한 다양한 전략들에 대해 논의하였다.

• 한국엔터테인먼트산업학회논문지
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• 제14권3호
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• pp.105-115
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• 2020

최근 대학입학 학령인구의 감소에 따라 입학생 모집에 큰 어려움이 예상되고 있다. 대학알리미에 공시된 전국 4년제 대학의 최근 3년간(2016-2018)의 중도 탈락률은 4.1%(217개 대학 기준), 4.3%(214개 대학 기준), 4.6%(212개 대학 기준)으로 매년 지속적으로 증가하고 있어, 대학의 당면한 가장 큰 현안으로 대두되고 있다. 본 연구에서는 H대학에서의 대규모 실증 연구를 통해 대학생의 중도탈락의도에 대한 분석과 그 의도에 영향을 미치는 교육 요인을 도출하였다. 먼저 중도탈락의도에 대한 분석결과, 공과계열 학생의 중도탈락의도가 인문계열에 비해서 높고, 고학년 일수록 높게 나타났다. 특성화고 출신이 일반고에 비해서 높았으며, 본인이 등록금을 마련하는 학생들이 그렇지 않은 경우에 비해서 높게 나타났다. 중도탈락 의도에 대한 요인분석결과 수업곤란도, 전공 만족, 학부모 만족, 국제화 만족, 대학교육성과 만족 순으로 중도탈락의도에 큰 영향을 미치는 것으로 분석되었다.

• KDI Journal of Economic Policy
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• 제38권1호
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• pp.71-91
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• 2016

This paper examines the effect of the government college loan program in Korea on student academic performance, dropout decisions and loan defaults. While fairness in educational opportunities has been guaranteed to some degree through this program, which started in 2009, there has been a great deal of controversy over its effectiveness. Empirical findings suggest that recipients of general student loan (GSL) lower academic performance than those who received income contingent loan (ICL). Moreover, for students attending private universities, a higher number of loans received increased the probability of a dropout decision, and students from middle-income households had a higher probability of being overdue than students from low-income households. These findings indicate that expanding the ICL program within the allowance of the government budget is necessary. Furthermore, providing opportunities for students to find various jobs and introducing a rating system for defaulters are two necessary tasks.

• 한국컴퓨터정보학회논문지
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• 제20권6호
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• pp.21-28
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• 2015

본 연구는 지방대학교에서 학습몰입과 학업중단과의 관계에서 대학생활적응의 매개효과를 탐색하는 것이 목적이다. 이를 위해 충북소재 대학생 281명을 대상으로 확증적 요인분석, Baron and Kenny 의 3단계 위계적 회귀분석 및 Sobel 검정을 적용하여 학습몰입과 학업중단에 있어 대학생활적응의 매개적 효과를 검증하였다. 분석결과 학습몰입이 높을수록 학업중단이 낮게 나타나며, 대학생활적응의 하위요인들 중 학업적응, 사회적 적응은 학습몰입과 학업중단에 미치는 영향을 부분매개하며, 대학환경적응은 완전매개 하였으며, 개인-정서적응은 매개효과가 존재하지 않았다. 본 연구결과를 바탕으로 대학생의 학습몰입을 높이고 매개변인인 대학생활적응을 증가시켜 학업중단을 낮추기 위한 학교의 지원과 환경이 필요함을 시사한다.

• 한국의류산업학회지
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• 제25권2호
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• pp.241-247
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• 2023

This study sought to investigate the effect of academic satisfaction on the dropout intention of cosmetology undergraduates. Analyzing the effect of academic satisfaction on career dropouts showed that the sub-factors of academic satisfaction-evaluation satisfaction, class satisfaction had a statistically significant part effect. Analyzing the effect of academic satisfaction on psychological factors for dropping out showed that the sub-factors of academic satisfaction have a statistically significant effect. Furthermore, regarding the effect of academic satisfaction on environmental factors, the sub-factors of academic satisfaction have a statistically significant effect on wealth. High satisfaction was shown to have no statistically significant effect on dropout intention. The results of the study showed that the higher the degree of satisfaction with the evaluation and the degree of satisfaction with the course of beauty majors, the more negative (-) the impact on dropout. For cosmetology majors, academic satisfaction is a subjective emotion felt through study at university and major. Students with high academic satisfaction are more likely to love their school and their work, and positively influence their intention to stay in school and reduce student dropout rates. Intention to drop out indicates the intention to lose interest and purpose in cosmetology college students. This is directly linked to the dropout rate of school students and requires steady research. Through this research, we hope that active discussions will be held on academic satisfaction and intention to drop out of university students specializing in cosmetology.

• 공학교육연구
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• 제23권1호
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• pp.26-36
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• 2020

This study aims to investigate the effect of college choice factors on withdrawal intention of first-year undergraduates in STEM majors. The data for this study were collected from a national sample of 4-year institutions that participated in Collegiate Longitudinal Study funded by the National Research Foundation of Korea during 2013-2014. The data included 1,484 students in STEM majors from 30 institutions, and this study used bivariate and multivariate analytic methods to answer the research questions. This study found that while the internal dimensions of college choice showed a negative effect on the intention to dropout, external dimensions of college choice such as college environment, financial accessibility, admission possibility had a positive effect on the intention. The findings indicate that it is necessary to pay attention to college choice for enrollment management to prevent first-year undergraduates in STEM majors from dropping out.