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논문검색

데이터 마이닝을 활용한 사립대학 교육비 환원요인 분석 : 패널 고정효과모형과 비모수회귀추정을 중심으로

원문정보

Analysis of Factors for Private Universities Educational Restitution Rate using Data Mining : Focusing on the Panel Fixed Effect Model and Non-parametric Regression Estimation

채동우, 이문범, 정군오

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초록

영어

The Educational Restitution Rate is an important parameter that determines the quality of university education. This paper analyzed data from 148 private universities over the 10 years from 2009 to 2018 using data mining techniques in Korea. A significant causal relationship is detected in the fixed effect model as a result of the panel estimation. And the scale of faculty expansion and fund management, which are the university evaluation indicators, and the size of basic funds, respectively, have a positive effect on the ERR, which is within the confidence interval. In the analysis, the more private universities improve the tuition dependence rate, the more decisively positive affecting ERR. As a result of nonparametric regression estimation, when the faculty expansion ratio is reinforced, the effect of economies of scale is detected in some sections, the improvement of the tuition dependence rate, and the result value is generated through the improvement that results are derived at a certain point in time. We hope that the university based on this study can be a basic Indicators for the diagnosis of basic competencies and policy of student-centered education.

목차

Abstract
1. 서론
1.1 연구배경 및 목적
1.2 고등교육기관 지표분석의 선행연구동향
2. 교육비 환원 효과의 분석 방법론
2.1 연구대상의 정의
2.2 변수의 기술적 정의 및 연구모형
2.3 선별대학의 기본 주요 특성
3. 교육비 환원율 요인의 세부분석
3.1 교육비 환원율 요인의 패널적 추정
3.2 교육비환원율의 인과효과 세부분석
4. 요약 및 시사점
4.1 소론 및 본 연구의 의의
4.2 학생 중심의 교육비 환원에 대한 정책제언
4.3 연구의 한계 및 추후 연구 방향
References

저자정보

  • 채동우 Dong Woo Chae. Manager, Department of Finance, Graduate School of Hoseo University
  • 이문범 Mun-Bum Lee. PH.D. Course, Graduate School of Management Of Technology(MOT) of Hoseo University
  • 정군오 Kun-Oh Jung. Department of Global Commerce, Hoseo University

참고문헌

자료제공 : 네이버학술정보

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