• Title/Summary/Keyword: 휴학률

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Influence of tuition and scholarship on the stop-out rate: An empirical analysis using panel regression model (등록금 및 장학금이 대학생 휴학률에 미치는 영향: 패널회귀모형을 이용한 실증분석)

  • Yang, Hoseok;Choi, Jae-Seok;Han, Jun-Tae;Jeong, Jina
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.3
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    • pp.631-638
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    • 2015
  • In this paper, we configured the panel data of four years using the information of Higher Education In Korea (2010~2013) and studied the influence of tuition and scholarships on the stop-out rate of national university and private university separately through a panel analysis. Three models are implemented considering various variables suck as faculty-student ratios, employment rate, per pupil expenditure, average tuition, and per pupil scholarship. This study showed that the lower net tuition and the higher per pupil off-campus scholarship lowered the stop-out rate at national universities and the lower tuition and the higher per pupil scholarship lowered the stop-out rate at private universities.

A Regression Analysis of Factors Affecting Dropout of College Students (대학생의 중도탈락에 영향을 미치는 요인 다중회귀분석)

  • Hwang, Seung-Yeon;Shin, Dong-Jin;Oh, Jae-Kon;Lee, Yong-Soo;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.4
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    • pp.187-193
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    • 2020
  • In this study, we wanted to analyze the factors at the national university level that affect college students ' elimination. In addition, national universities, private universities, universities in Seoul and universities outside of Seoul were divided into more college-specific characteristics. Except for leave of absence and departure from school, it was defined as a middle school dropout among changes of students. The data were used for analysis by receiving raw data from "University Alerts," which are operated by the Ministry of Education and the Korean Council for Educational Universities. At the university notification, 222 universities out of the schools classified as "Universities" were utilized for final analysis, and jobs, credits, scholarships, tuition fees, students, independent students, and full-time teachers were secured through multiple education. Overall, the higher the average graduate level and employee-rate the lower the rate of elimination from the middle of college students, the analysis showed. Second, the higher the average tuition fees at private universities, the more negatively affects the rate of elimination of university students. Third, higher tuition fees at universities outside the Seoul metropolitan area have a negative impact on the rate of elimination of students.