The purpose of this study is to analyze the performance influence factors of higher educational competence and to establish the policy and the direction of the University Financial Support Program and its developmental strategies. we formulated four r...
The purpose of this study is to analyze the performance influence factors of higher educational competence and to establish the policy and the direction of the University Financial Support Program and its developmental strategies. we formulated four research goals to analyze the Lee Myumg-bak administration’s flagship program the Enhancement of University Education Capacity Program, which supports the strengthening of higher educational competence.
First, what effects does participation in the program have on the performance of educational competence? Second, how does a university’s structural features influence educational competence performance. Third, how does a university’s political features influence educational competence performance. Fourth, do the outcome factors of educational competence performance have mediated influence performance factors.
This study conducted an analysis of 149 universities which had submitted applications for the Enhancement of University Education Capacity Program from 2008 through 2011. Their decision to participate in the program, the structural features of the university (type, location, size, stature), political features of the university (investment in education, pledge to support, industry-academia cooperation, missions) were used as independent variables. The rate of full-time faculty securement, the rate of scholarship beneficiaries, and educational expenses per student were used as outcome factors, and the employment rate and the supplement rate of registered students were used as performance factors. A time series analysis and a variance analysis were used to analyze performance according to participation in the program, and multiple regression analyses were used to analyze the performance factors of educational competence. Also, path analysis was used to analyze the mediated effects.
Brief results of this study are as follows. First, the groups that continued to participate in the Enhancement of University Education Capacity Program showed a statistically-meaningful difference in five educational competence performance indicators (including employment rate, supplement rate of registered students, rate of full-time faculty securement, rate of scholarship beneficiaries, and educational expenses per student) in comparison with the groups which either intermittently participated or did not participate. Second, the number of enrolled students (more than ten thousand students) and a university’s high stature were structural factors which affected educational competence performance. Third, revitalization of education investment had a large impact on educational competence performance. Fourth, structural factors and policies had similar correlation with the employment rate and the securement rate of full-time faculty, and structural factors explain the rate of registered student supplements and the rate of scholarship beneficiaries better. On the other hand, political factors explain educational expenses per student better. Lastly, the relationships and their intensity of outcome factors were analyzed. There was a positive correlation between 'education expenses per student' and 'employment rate and supplement rate of registered students'. There was a negative correlation between 'rate of scholarship beneficiaries' and 'employment rate and supplement rate of registered students'.
Research findings suggest that: First, it is important that the application of a logical model is attempted, which is a development measure of the Enhancement of University Education Capacity Program. Second, a theoretical approach to and an analysis of universities' HRD functions were taken. Third, it analyzed the threshold of the current formula index and claimed the need to supplement. Fourth, given that educational expenses per student is the largest factor contributing to educational competence performance, it suggested an adjustment in the weights of the selection formula indicator. Fifth, it raised the need for a discussion on restructuring indicators which have no mediator effects. Sixth, it drew the revitalization of educational investment as an implication to improve educational competence performance. Seventh, given that the educational competence performances of large universities were poor, it requires efforts to discover the optimal scale of university.