Abstract
Brain Korea 21 (BK21) is a plan launched by the Korea Ministry of Education to strengthen the competitiveness of research and education quality of universities in Korea. The main objective of this study is to evaluate BK21 initiative and provide feedback for more effective implementation. We used a structural equation models to find the relationship among various factors with the satisfaction of participating students. The results imply that some strategies for BK21 need to be modified in order to increase the number of qualified applicants and to level up the satisfaction level of the graduate students in Korea.
Original language | English |
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Pages (from-to) | 5087-5093 |
Number of pages | 7 |
Journal | Expert Systems with Applications |
Volume | 36 |
Issue number | 3 PART 1 |
DOIs | |
Publication status | Published - 2009 Apr |
Bibliographical note
Funding Information:Brain Korea 21 (BK21), which was launched by the Korea Ministry of Education in November 1999 in Korea, is a major higher education reform project that aims at cultivating creative and high quality human resources necessary for the forthcoming knowledge-based society. To accomplish this aim, the Korean government has decided to invest 1.4 trillion won (about $1.2 billion) in universities over seven years. Three-quarters of the budget will be invested in supporting the selected graduate schools in fields of the natural and applied sciences and engineering, humanities, and social sciences. While selected graduate schools and universities will be developed into leading world-class universities, the remaining institutions will become regional universities that will create the human resources required by local industries. The graduate students in the selected graduate schools are the direct beneficiaries of the project. Research funds do not go directly to professors in the form of grants and a large part of the budget is used to provide a supportive educational environment for graduate students in the form of stipends, financial support for overseas activities, and research infrastructure ( MEHRD, 2001 ).
All Science Journal Classification (ASJC) codes
- Engineering(all)
- Computer Science Applications
- Artificial Intelligence