• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.10
• /
• pp.6584-6594
• /
• 2015

This study is intended to come up with the Scale of the danger in the adolescents' school-dropout. The present dissertation developed the questions and collected them on the base of the potential variables, that consist of the school-dropout of adolescents, and the operational definition of each variable, through the verification of the precedent research and the review of the related literatures. In addition, the interviews for the teachers who have experienced the school-dropouts of adolescents are performed and are analyzed, and then the relevant questions were culled. The Scale developed in this study is composed of 48 questions and 10 factors. The questions which have the same factors and clustered are reflected, and then are discerned into 3 dimensions, that is, the outer attitude, the inner attitude, and the attitude of parents. The Scale of the danger in the adolescents' school-dropout which is contrived through this study is expected to prevent school-dropouts to teenagers and the teachers.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.1
• /
• pp.88-95
• /
• 2021

This study aims to provide implications for establishing support policies for students by empirically analyzing data on university students dropouts. To this end, data of students enrolled in D University after 2017 were sampled and collected. The collected data was analyzed using topic modeling(LDA: Latent Dirichlet Allocation) technique, which is a probabilistic model based on text mining. As a result of the study, it was found that topics that were characteristic of dropout students were found, and the classification performance between groups through topics was also excellent. Based on these results, a specific educational support system was proposed to prevent dropout of university students. This study is meaningful in that it shows the use of text mining techniques in the education field and suggests an education policy based on data analysis.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.01a
• /
• pp.169-171
• /
• 2013

본 연구는 초등학생을 대상으로 전자교육 학습자의 학습이력에 따른 중도탈락 원인들을 규명하고 재수강 의사 결정에 차이를 보이는지 분석을 통해 학습자의 재수강을 높일 수 있는 방안을 검토하고 효율적인 전자교육 프로그램을 운영할 수 있도록 시사점을 제공하기 위한 것이다. 구체적으로는 초등 전자교육에서 학습이력별 중도탈락 원인을 규명하고 재수강 의사 결정에 차이가 있는지 분석하였다. 연구결과 첫째, 초등전자교육에서 학습자의 학습이력 중 특히 학습자의 이수율이 중도탈락율과 관련 있으며, 유의한 원인은 시간부족, 교육내용 방법 평가로 나타났다. 둘째, 시간이 부족하거나 교육내용 방법 평가 방법이 적절하지 않아 중도탈락한 학습자들의 50% 이상이 재수강 의사를 밝혔으며, 중도탈락 원인 중 학업능력은 재수강을 결정하는데 유의한 원인으로 파악되었다. 셋째, 중도 탈락자의 재수강을 유도하는 방안으로서는 초등 전자교육 수강자는 온라인 플래너를 활용하여 매일 1시간씩 학습 시간을 관리하는 것이 필요하며, 선행학습은 한 학기 전까지 다루는 것이 좋은 것으로 나타났다.

• International Journal of Advanced Culture Technology
• /
• v.9 no.1
• /
• pp.89-92
• /
• 2021

In this study, we wanted to examine the effects of social stigma on the psychological emotions of out-of-school youths and the mediating effects of parental emotional support in the relationship between these variables. To that end the National Youth Policy Institute dropout Youth Panel Survey of the Experimental (2017) 318 with data. The study method used the AMOS 7.0 program to check the suitability of the structural model and the significance of the direct and indirect effects. Through this study, we will first look at the relationship between social stigma and psychological sentiment of out-of-school youths, social stigma and parental emotional support. Second, we would like to examine how social stigma among out-of-school teens affects psychological sentiment. Third, we would like to examine the mediated effect of parental emotional support in the influence of social stigma on psychological sentiment of out-of-school youths. Based on the results of this study, we would like to support the existing prior studies related to out-of-school youth and further propose practical intervention measures that can be used in counseling and education sites. We would also like to discuss suggestions for further research.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.4
• /
• pp.1053-1065
• /
• 2006

This paper proposes a method in one-way layouts for longitudinal data with informative drop-out. When dropouts are informative, that is, correlated with unobserved data and/or the previous observed data, the simple imputation methods such as 'last observation carried forward' (LOCF) methods would arise the bias of the testing models. The maximum likelihood procedure combined with a logit model for the drop-out process is proposed to test treatment effects for one factorial designs and compared with LOCF method in two examples.

• Proceedings of the Korea Contents Association Conference
• /
• 2012.05a
• /
• pp.389-390
• /
• 2012

대학생이 학업중단에 이르는 과정은 여러 가지 요인에 의해 영향을 받는다. 이에 관한 연구는 초기에 학업중단을 예방할 수 있게 해주며, 각 단계에서의 다양한 개입의 방향과 전략을 제시해 줄 수 있다. 따라서, 본 논문에서는 학업을 포기하는 전문대학생의 실태와 현황, 학업중단의 문제를 요인 분석하기 위하여, K대학의 중도탈락에 관한 실제 데이터를 대상으로 요인분석을 실시하고, 그 개선안을 제시하데 그 목적이 있다.

• The Journal of the Korea Contents Association
• /
• v.12 no.10
• /
• pp.216-226
• /
• 2012

The current study investigated delinquent school- dropout adolescents and general dropouts' differences in individual, social factors and experiences after school dropout. Data was collected through a nationwide survey(N=209) from dropout adolescents. Findings reveal that gender, age, disabilities, work experience parent cohabitation, and residential area were significant in the individual factor. Dropout time, social agency, school return experience, and GED exam pass were significant in the social factors. Groups showed differences in experiences after dropout, and self evaluation while the general group had needs for vocational education. Dropouts wanted to go back to school. Implications such as focusing on differences of each group and developing various education system and policies are needed. Limitations and implications of the study are discussed.

• The Bulletin of The Korean Astronomical Society
• /
• v.37 no.1
• /
• pp.90.2-90.2
• /
• 2012

Geosynchronous electron flux dropouts are most likely due to fast drift loss of the particles to the magnetopause (or equivalently, the "magnetopause shadowing effect"). A possible effect related to the drift loss is the radial diffusion of PSD due to gradient of PSD set by the drift loss effect at an outer L region. This possibly implies that the drift loss can affect the flux levels even inside the trapping boundary. We recently investigated the details of such diffusion process by solving the diffusion equation with a set of initial and boundary conditions set by the drift loss. Motivated by the simulation work, we have examined observationally the energy spectrum and pitch angle distribution near trapping boundary during the geosynchronous flux dropouts. For this work, we have first identified a list of geosynchronous flux dropout events for 2007-2010 from GOES satellite electron measurements and solar wind pressures observed by ACE satellite. We have then used the electron data from the Time History of Events and Macroscale Interactions during Substorms (THEMIS) spacecraft measurements to investigate the particle fluxes. The five THEMIS spacecraft sufficiently cover the inner magnetospheric regions near the equatorial plane and thus provide us with data of much higher spatial resolution. In this paper, we report the results of our investigations on the energy spectrum and pitch angle distribution near trapping boundary during the geosynchronous flux dropout events and discuss implications on the effects of the drift loss on the flux levels at inner L regions.

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

• The Bulletin of The Korean Astronomical Society
• /
• v.37 no.2
• /
• pp.122-122
• /
• 2012

Geosynchronous electron flux dropouts are most likely due to fast drift loss of the particles to the magnetopause (or equivalently, the "magnetopause shadowing effect"). A possible effect related to the drift loss is the radial diffusion of PSD due to gradient of PSD set by the drift loss effect at an outer L region. This possibly implies that the drift loss can affect the flux levels even inside the trapping boundary. We recently investigated the details of such diffusion process by solving the diffusion equation with a set of initial and boundary conditions set by the drift loss. Motivated by the simulation work, we have examined observationally the energy spectrum and pitch angle distribution near trapping boundary during the geosynchronous flux dropouts. For this work, we have first identified a list of geosynchronous flux dropout events for 2007-2010 from GOES satellite electron measurements and solar wind pressures observed by ACE satellite. We have then used the electron data from the Time History of Events and Macroscale Interactions during Substorms (THEMIS) spacecraft measurements to investigate the particle fluxes. The five THEMIS spacecraft sufficiently cover the inner magnetospheric regions near the equatorial plane and thus provide us with data of much higher spatial resolution. In this paper, we report some case studies showing energy dependence during magnetopause shadowing effect.