• 공학교육연구
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• 제15권5호
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• pp.98-107
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• 2012

As the dropout rate of university students is gradually increasing, the studies on exploring the status, characteristics, reasons, and countermeasures of dropout of university students are currently grabbing high attention. This paper analyzes the relationship between the admission types and dropout of university students, mainly focused on engineering students. The analysis shows that the dropout rate of engineering students admitted through the scheduled-time admission procedures is quite higher than that of students admitted through non-scheduled-time admission procedures, the dropout rate of engineering students admitted from the vocational high schools is higher than that of students from the academic high schools, and the dropout rate of engineering students admitted from the liberal art high school tracks is higher than that of students from the natural science high school tracks. From the results, we could find out that student-support programs need to be carefully provided for the engineering university students according to their admission types and underlying backgrounds.

• 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.

• 디지털산업정보학회논문지
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• 제19권4호
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• pp.137-146
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• 2023

The dropout of university freshmen is a very important issue in the financial problems of universities. Moreover, the dropout rate is one of the important indicators among the external evaluation items of universities. Therefore, universities need to predict dropout students in advance and apply various dropout prevention programs targeting them. This paper proposes a method to predict such dropout students in advance. This paper is about a method for predicting dropout students. It proposes a method to select dropouts by applying logistic regression using a shift sigmoid classification function using only quantitative data from the first semester of the first year, which most universities have. It is based on logistic regression and can select the number of prediction subjects and prediction accuracy by using the shift sigmoid function as an classification function. As a result of the experiment, when the proposed algorithm was applied, the number of predicted dropout subjects varied from 100% to 20% compared to the actual number of dropout subjects, and it was found to have a prediction accuracy of 75% to 98%.

• 한국빅데이터학회지
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• 제4권2호
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• pp.175-183
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• 2019

학습자 중도탈락은 사이버대학이 해결해야 할 과제 중 하나이다. 2019년도 기준으로 사이버대학의 전체 학생 수는 13만여 명에 달하고 있으나, 중도탈락 비율도 매우 높은 편이다. 중도탈락율을 낮추기 위해 사이버대학은 학습 분석에 많은 투자를 하고 있다. 특히 일부 사이버대학에서는 중도탈락 가능성을 정량적으로 분석하여 중도탈락이 우려되는 학생에 대한 지원을 강화하고 있다. 본 논문의 목적은 중도탈락 예측지수에 영향을 미치는 학습데이터를 규명하는데 있다. 분석 결과, 수강 차시(진도율), 이수학점, 평점, 휴학 횟수가 중도탈락에 유의미한 영향을 미치는 것으로 확인되었다. 사이버대학은 학생 중도탈락 예측지수에 관한 사후검증을 통해 예측 모델의 정확도를 높여나가야 할 것이다.

• 한국컴퓨터정보학회논문지
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• 제22권10호
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• pp.9-17
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• 2017

The student dropout prediction is an indispensable for many intelligent systems to measure the educational system and success rate of all university. Therefore, in this paper, we propose an intelligent dropout prediction system that minimizes the situation by adopting the proactive process through an effective model that predicts the students who are at risk of dropout. In this paper, the main data sets for students dropout predictions was used as questionnaires and university information. The questionnaire was constructed based on theoretical and empirical grounds about factor affecting student's performance and causes of dropout. University Information included student grade, interviews, attendance in university life. Through these data sets, the proposed dropout prediction model techniques was classified into the risk group and the normal group using statistical methods and Naive Bays algorithm. And the intelligence dropout prediction system was constructed by applying the proposed dropout prediction model. We expect the proposed study would be used effectively to reduce the students dropout in university.

• 한국산학기술학회논문지
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• 제21권7호
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• pp.380-390
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• 2020

사이버대학교는 20대 중심의 일반대학교 학생보다 사회적 배경, 경제적 요인, IT 지식 및 활용능력 등. 복잡한 교육환경의 변화 요인으로 신입생들의 중도탈락이 높은 실정이다. 따라서 사이버대학교 학생은 일반대학교와 다른 중도탈락 방지 대책과 개선 방법이 필요하다. 본 연구에서는 A 사이버대학의 2017년 및 2018년 1학기 중도탈락에 영향을 미치는 요인을 추출하고 '의사결정트리모델'을 통하여 중점관리 및 상담기준을 분류하여 주요 요인을 도출하였다. 각 주요 요인에 대하여 의사결정 적용기준과 주차별 추진방법을 제시하여 '중도탈락개선모형'으로 구현하였다. 그리고 2019년 1학기 신입생을 대상으로 실제로 운영되고 있는 사이버대학 강의운영에 적용하였다. 그 결과 '중도탈락개선모형'을 적용한 신입생의 중도탈락률은 4.2% 감소하였고 학업지속비율은 11.4% 증가하였다. 본 연구의 주요한 의미는 설문지 조사와 사이버대학 LMS(Learning Management System) 학습활동 결과를 동시에 적용하여 객관적인 분석을 하였다는 것이다. 그러나 학생 자료에 대한 정량적인 요인분석은 되었지만, 정성적인 요인분석이 반영되지 못하였고 연구의 구조적인 한계점이 있어 후속연구가 필요하다. 본 연구에서 구현된 개선모형은 사이버대학의 중도탈락률 및 학업지속비율 개선에 유효하게 적용될 것으로 기대한다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제13권4호
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• pp.263-271
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• 2013

A low dropout regulator (LDO) with fast transient responses is presented. The proposed LDO eliminates the trade-off between slew rate and unity gain bandwidth, which are the key parameters for fast transient responses. In the proposed buffer, by changing the slew current path, the slew rate and unity gain bandwidth can be controlled independently. Implemented in $0.18-{\mu}m$ high voltage CMOS, the proposed LDO shows up to 200 mA load current with 0.2 V dropout voltage for $1{\mu}F$ output capacitance. The measured maximum transient output voltage variation, minimum quiescent current at no load condition, and maximum unity gain frequency are 24 mV, $7.5{\mu}A$, and higher than 1 MHz, respectively.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제27권3호
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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.

• 중국학논총
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• 제67호
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• pp.157-177
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• 2020

The rapid change in the university environment due to the decrease in the school-age population calls for enhancing the competitiveness of China-related departments. In this paper, the university's competitiveness and dropout rate were studied in combination with various factors such as geographical location of Chinese-related departments set up at national universities, convergence with other departments, competition rate for entrance exams, scholarships, and employment rate that have a comprehensive impact on student satisfaction. In particular, the dropout rate presented research results that could help universities strengthen their competitiveness in China-related departments, such as by differentiating customized academic strategies according to the atmosphere of elimination through multiple regression analysis and quantile analysis. We hope this thesis will be the basis for policymaking and judgment in China-related departments.

• Nutrition Research and Practice
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• 제8권1호
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• pp.94-102
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• 2014

Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction.