• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.149-153
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• 2011

이 연구는 전자교육에서 성인여성 학습자를 중도탈락에 이르게 하는 요인을 도출하고, 이 중에서 가장 큰 영향을 주는 요인을 찾음으로써, 궁극적으로는 수료율을 제고하는데 목적이 있다. 이를 위해, 선행연구 분석을 통해 도출된 9가지 요인 중 어떤 요인이 중도탈락에 영향을 미치고, 그 영향력은 얼마인지 알아보기 위해 16개의 설문문항을 구성하여 K 기관의 교육생을 대상으로 설문을 실시하였다. 연구결과, 전자교육에서 성인여성 학습자의 중도탈락에 영향을 주는 요인은 결혼 여부, 내적 동기, 교육기관의 지원, 가사와 육아, 학습가능 시간 등 5가지로, 내적 동기, 학습가능 시간, 결혼 여부, 교육기관의 지원, 가사와 육아 순으로 중도탈락에 대한 영향을 미쳤다. 즉, 학습진행 시 내적 동기의 만족도가 높을수록, 학습 시간의 부담이 적을수록, 미혼이며, 교육기관의 지원에 만족도가 높을수록, 또 가사와 육아에 부담이 적을수록 수료를 할 가능성이 더 큰 것으로 나타났다. 연구결과를 토대로 전자교육에서 성인여성 학습자의 수료율을 제고하기 위해서는 성인여성을 대상으로 한 전자교육 과정 운영 시 결혼 여부, 내적 동기, 교육기관의 지원, 가사와 육아, 학습가능 시간의 요인을 고려해야하며, 그 중 결혼 여부, 가사와 육아부담 등의 여성학습자의 일반적인 특성에 따른 중도탈락을 줄이기 위해서는 교육기관의 역할이 중요하다. 또한, 성인여성 학습자의 중도탈락에 가장 큰 영향을 미치는 내적 동기 향상을 위해 과정설계 시 여성학습자 위주의 맞춤형 교수설계전략을 세우는 것이 중요하다. 성인여성 대상 전자교육에서의 학습자 중도탈락 요인들의 인과관계 및 그에 따른 영향력을 분석하는 연구를 통해 도출된 결과를 바탕으로 성인여성 학습자의 중도탈락을 줄일 수 있는 실증적인 방법론에 대한 연구를 통해 중도탈락률을 줄이는 것은 물론, 학업성취도 및 만족도를 높이고 나아가서는 여성의 사회진출을 도울 수 있는 연구가 필요하다.

• Korean Journal of Social Welfare
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• v.60 no.3
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• pp.231-251
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• 2008

The purpose of this study was to determine the factors affecting the drop-out from the domestic violence offenders' treatment group programs in Korea, on the assumption that it would be an important challenge to prevent the domestic violence offenders from dropping out from their treatment group programs in order to protect the victim women and improve effectiveness of the programs. For this purpose, the researchers sampled a total of 280 domestic violence offenders who had participated in the domestic violence offenders' treatment programs operated by 65 domestic violence counselling organizations throughout the nation. As a result, it was found that 159(56.8%) out of the 280 offenders had completed the programs, while 121(43.2%) had dropped out from the programs. As a consequence of comparing the two groups, it was disclosed that they differed significantly in terms of cohabitation with spouse and attitude toward sex role. As a result of the logistic regression analysis for the factors affecting the drop outs from the treatment group program, it was found the significant factors were employment, path of being referred to the program and attitude toward sex role.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.105-115
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• 2020

Recently, due to a decrease in the school age population, it is expected that there will be great difficulties in recruiting students. The dropout rate for the last three years of four-year universities nationwide announced in www.academyinfo.go.kr has been continuously increasing at 4.1% (2016), 4.3% (2017), and 4.6% (2018). It has emerged as the biggest issue facing the university. In this study, through a large-scale empirical study at H University, an analysis of the dropout intention of college students and educational factors affecting their intentions were derived. First, as a result of analyzing the intention to drop out, the dropout intention of students in the engineering department was higher than in the humanities, and it was higher in the upper grades. Students from specialized high schools were higher than general high schools, and the students who raised the tuition fees were higher than those who were not. As a result of factor analysis on dropout intention, it was analyzed that class difficulty, major satisfaction, parent satisfaction, internationalization satisfaction, and college education performance satisfaction had a significant effect on dropout intention.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.453-463
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• 2016

This study examined the relationship among dropout, organizational trust, and intention to transfer in the department affiliated with Physical Education. Data were collected from 480 students in the department affiliated with Physical Education from 6 institutions of a 4-year university located in Seoul, Gyeonggi-do, Incheon, and ChungChong-do. For the research model analysis, a structural equation model and bootstrapping were conducted. Results indicated that the academic domain, the social domain, and the environmental domain of dropout had a positive effect on organizational trust. But the only the academic domain in the relationship between dropout and intention to transfer affected intention to transfer positively. The social domain and the environmental domain were not statistically significant on intention to transfer. Moreover, organizational trust had a positive effect on intention to transfer. Finally, organizational trust partially mediated the path between the academic domain and intention to transfer. It fully mediated the paths between the social domain and the environmental domain and intention to transfer.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.317-330
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• 2021

This study aims to derive the main factors for predicting student departure of university freshmen and provide the basis for establishing policies to prevent student departure at the institutional level. For this purpose, a random forest model is developed with the data observed for 2 years at a four-year private university in Seoul. In the prediction model, 6 variables of school adjustment factors and 12 variables of institution satisfaction factors are applied. The top 6 variables presenting the highest MDA turn out to be emotional stability, financial conditions, assurance in the choice of major, satisfaction with the choice of university, educational method(systematic teaching method), educational method(effectiveness of major education). Based on the results of this study, it is suggested the necessity of institutional design supporting freshmen to adapt to university life and stably continue their studies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.380-390
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• 2020

Cyber-university has a higher rate of dropout freshmen due to various educational factors, such as social background, economic factors, IT knowledge, and IT utilization ability than students in twenty offline-based university. These students require a different dropout prevention method and improvement method than offline-based universities. This study examined the main factors affecting dropout during the first semester of 2017 and 2018 A Cyber University. This included management and counseling factors by the 'Decision Tree Analysis Model'. The Management and counseling factors were presented as a decision-making method and weekly methods. As a result, a 'Dropout Improvement Model' was implemented and applied to cyber-university freshmen in the first semester of 2019. The dropout-rate in freshmen applying the 'Dropout Improvement Model' decreased by 4.2%, and the learning-persistence rate increased by 11.4%. This study applied a questionnaire survey, and the cyber-university students LMS (Learning Management System) learning results were analyzed objectively. On the other hand, the students' learning results were analyzed quantitatively, but qualitative analysis was not reflected. Nevertheless, further study is necessary. The 'Dropout Improvement Model' of this study will be applied to help improve the dropout rate and learning persistence rate of cyber-university.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.138-145
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• 2021

The purpose of this study was to investigate the mediating effects of academic procrastination behavior on the relationship between academic stress and dropout intention. The research questions are First, does the academic stress of college students influence the intention to drop out? Second, does academic procrastination behavior the relationship between academic stress and dropout intention? A survey was conducted on 218 college students about academic stress, dropout intention, and academic procrastination behavior. Correlation analysis was conducted to find out the relationship between academic stress, dropout, and academic procrastination behavior, and Multiple regression analysis was performed to determine the moderating effect of academic procrastination behavior. The mediating effect was verified using Baron and Kenny's procedure, and the significance was verified by Sobel verification. The results are as follows: First, academic stress, dropout intention, and academic delay behavior showed significant positive correlations.. Second, Academic stress showed 15% of explanatory power as an influential factor on dropout intention, and 5% of explanatory power was an influential factor on academic procrastination behavior. Third, the through mediation analysis, there was partial mediated effects of academic procrastination behavior between academic stress and dropout intention. Our findings suggest that to improve the dropout intention among college students, educators should carefully design and develop an education program

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.1-12
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• 2014

Since students' behaviors during e-learning are automatically stored in LMS(Learning Management System), the LMS log data convey the valuable information of students' engagement. The purpose of this study is to develop a prediction model of e-learning course dropout by utilizing LMS log data. Log data of 578 college students who registered e-learning courses in a traditional university were used for the logistic regression analysis. The results showed that attendance and study time were significant to predict dropout, and the model classified between dropouts and completers of e-learning courses with 96% accuracy. Furthermore, the feasibility of early detection of dropouts by utilizing the model were discussed.

• Korean Journal of Social Welfare
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• v.61 no.4
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• pp.191-215
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• 2009

The purposes of this study were to investigate the factors that influence the school drop-out of North Korean refugee youth and to generate recommendations for social work practice and the resettlement policies of the government to ameliorate the high school drop-out rate among North Korean refugee youth. This study examined the effects of the environmental factors such as the quality of parenting practice, peer attachment and the kind of school a youngster attends, and personal characteristics such as self-respect and acculturation stress level, and academic efficacy on the school drop-out intention. Gender, duration of stay in Korea, family economic status were established as control variables. The drop-out intention was used as a proxy for drop-out behavior. The study findings indicate that the personal characteristics such as gender, self-respect and acculturation stress, academic efficacy were the significant influencing factors, whereas environmental factors such as quality of parenting, peer attachment did not exert any statistically significant effect on the drop-out intention. At the conclusion, the implications of the study findings for research, social work practice and the government policies were discussed.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.117-127
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• 2021

The purpose of this study was to identify the relationship between social support, academic self-efficacy, and learning agility on intention of academic dropout among nursing students. Data collection was conducted online surveys from November 9 to 27, 2020. The 363 students were conveniently sampled from the school of nursing in K-do in Korea. The contents of the self-reported questionnaire included social support, academic self-efficacy, learning agility, intention of academic dropout. As a result, The score of each variables were like this: social support 4.32, academic self-efficacy 3.66, learning agility 3.40, intention of academic dropout 2.08. The factors that affecting intention of academic dropout among nursing students are academic self-efficacy, learning agility, satisfaction on major, perceived mental health status, grade in score and grade, which explained 30.4% of the variances. Therefore in order to lower the intention of dropping out of nursing students, it is considered that the development of programs considering individual characteristics and systematic support are necessary.