소규모학교의 통ㆍ폐합 관련요인 분석 = An Analysis of the Related Factors in the Consolidation of Small School

다국어 초록 (Multilingual Abstract)

The purpose or this study was threefold: 1)) to produce the optimum scale of small schools according to the economies of scale, 2) to grasp the consolidation and the related factors of small schools, and 3) to discover the economical approach utilized in the consolidation of small schools.
Review of literature and empirical analysis were the major reseach method used for this study. Literature review was used to gain an understanding of the economies of scale as well as the optimum scale of small schools. Empirical analysis was utilized 「or analyzing consolidation and related factors of small schools. Additionally, statistical techniques such
as ANOVA analysis, correlation analysis, and regression analysis were employed according to the characteristics of the variables.
The summary of findings are as follows:
First, number of classes were inverse proportion to the educational cost per student. The average operational cost per student was low in schools with more classes. whereas the cost was high in schools with fewer classes.
Therefore, the standard for the distribution of educational cost should be based on a cost per student basis.
Second, the size of the teaching staffs were significantly related to the average operational cost per student. The average operational cost per student was low in schools with larger teaching staffs, while the cost was high in schools with smaller staffs. This fact should be considered carefully when allocating teaching staffs.
Third, the relationship between the number of students versus the average operational cost was studied for 5 styles of school groups. It was discovered that schools with 1-10 students had the highest average operational cost while schools wi.th over 101 students had the lowest.
Therfore, the consolidation of these smaller schools should be considered to decrease the operational costs of these schools.
Fourth. the number of classrooms was inverse proportion to educational costs. This could contribute to the distribution of operational cost which was not based on classroom number.
Fifth. it was found that buildings of 60 years or older shared the highest operational cost. On the other hand. newer buildings had the lowest operational cost. The operational cost in older school buildings was because these schools also had smaller student populations.
Sixth operational cost differed according to school location Schools
located on islands had the highest operational cost while urban schools had
the lowest.
Seventh, operational cost was affected by distance. Schools located within 1Krn shared the least operational cost while schools outside 4km shared the largest cost. Therefore schools located in longer distance should be consolidated to reduce operational cost.
In order to determine the optimum scale of small schools, multiple regression analysis was utilized using crucial independent variables. It was detern1ined that the optimum size of small elementary schools is 12~i
students. The optimum size for small secondary schools was found to be 175 students.
The related factors in the consolidation of small schools were separated from environmental factors such as geography and the community.
Numerous variables were determined from the related factors. The relationship between the related factors and average operational cost was analyzed through regression analysis to determine that the variable relating to student population size had the greatest effect. Other significant variables to the number of classes, teaching staff size. school location, and the public opinion of residents. Therefore. the decision to consolidate small schools should be based on the variables discovered through related factors analysis.

목차 (Table of Contents)

• I. 서론
• II. 소규모 학교 통ㆍ폐합의 이론적 기초
• III. 소규모 학교 통ㆍ폐합과 규모의 경제 분석
• IV. 소규모 학교 통ㆍ폐합의 관련요인 분석
• V. 결론