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Brain Korea 21 Phase II: A New Evaluation Model [Mīkstie vāki]

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  • Formāts: Paperback / softback, 276 pages, height x width x depth: 232x154x14 mm, weight: 372 g, Illustrations
  • Izdošanas datums: 08-Apr-2008
  • Izdevniecība: RAND
  • ISBN-10: 0833043218
  • ISBN-13: 9780833043214
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Brain Korea 21 Phase II: A New Evaluation ModelPalielināt
  • Formāts: Paperback / softback, 276 pages, height x width x depth: 232x154x14 mm, weight: 372 g, Illustrations
  • Izdošanas datums: 08-Apr-2008
  • Izdevniecība: RAND
  • ISBN-10: 0833043218
  • ISBN-13: 9780833043214
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780833043214.html
Keywords:
The Brain Korea 21 Program (BK21), which seeks to make Korean research universities globally competitive and to produce more high-quality researchers in Korea, provides funding to graduate students and professors who belong to research groups at top universities. The authors develop quantitative and qualitative models to evaluate how well BK21 is fulfilling its goals and make suggestions for further stimulating Korean university research.
Preface iii
Figures xi
Tables xiii
Summary xv
Acknowledgments xxv
Abbreviations xxvii
CHAPTER ONE Introduction 1
Background
1
BK21 Program Structure
1
Phase I and Phase II Comparison
3
Significance of the Program
4
Objective of the Study
5
Approach
6
Outline of the Monograph
7
CHAPTER TWO Implications of Phase I Program Evaluations for Phase II Evaluations 9
Previous Performance Evaluations of BK21 Phase I
9
Annual and Interim Evaluations
9
Program-Level Evaluations
11
Findings from Previous Evaluations
14
Changes Resulting from BK21 Phase I
14
Suggestions for Improving the Evaluation System
16
Limitations of Previous Evaluations
17
Implications for Designing the Phase II Evaluation Model
19
CHAPTER THREE
A Logic Model for Evaluating BK21
21
Literature Review and Focus Group Interviews
21
Developing the Logic Model
23
Identifying the Goals and Missions
26
Goals
27
Missions
29
Performance Milestones
31
Goals and Missions Identified for the Logic Model
33
Program Inputs
34
BK21 Funding
34
Strategy
37
Unit of Support
40
Recipient Selection Criteria
41
Performance Evaluation Criteria
42
Other Operational Mechanisms
42
Summary
43
Incentives, Activities, Outputs, and Outcomes of the Program
44
Incentives
44
Activities
47
Outputs
48
Outcomes
54
Other Observations
55
Summary
56
CHAPTER FOUR Quantitative Model to Assess BK21 Program Outcomes 59
Introduction
59
Summary of Phase I Statistics
61
Potential Approaches
64
Unadjusted Comparisons of BK21 Winners and Losers
67
Ordinary Least Squares, Matching, and Propensity Score
69
Fixed-Effects and Difference-in-Differences Models
71
Regression Discontinuity
74
Other Strategies
76
Quantitative Model
77
Heterogeneous Funding
80
The Power to Identify Impacts
81
Data for Use in Validating the Model
81
ISI Data
81
Ministry of Education Data
83
Validation of the Model
83
Pre Treatment Trends
84
Another Possible Comparison Group: Nonapplicants
88
Validation
90
Variations on the Specification
96
Quality
97
Social Science and Humanities
100
Other Aspects of the Logic Model
100
Simultaneous Equations Methods
102
International Competitiveness
104
Simulation: Ability to Precisely Estimate Effects at Phase II Funding Levels
105
Simulation: Outside Funding
107
Implications for Data Collection
109
Summary
110
CHAPTER FIVE Metrics and Measurement for Program Evaluation 111
General Issues of Measurement
112
Reliability
113
Validity
114
Direct and Indirect Measures
114
Cost Versus Benefit
115
Strategy for Framing Evaluation Measures
116
Matching Measures to Goals
117
Selecting Among Candidate Measures
118
Adding to Korea's Research Manpower Pool
132
Highly Educated Workforce Employment
134
High-Quality Globally Competitive Research
135
Measuring Quality of Research Output
135
Consistent Measures of Quality Within Fields
138
Measures of Quality Across All Fields
144
Relative Research Quality Measures
146
Changes to University/Department Infrastructure
146
Fostering a Competitive Environment Within Korea
147
Other Measures of Prestigious and Competitive Graduate Research
150
Measuring Enhanced University-Industry Collaboration
154
Measuring Enhanced Regional University Standing and Industry Linkage
156
Industrial Research Quantity, Quality, and National Labor Productivity
159
CHAPTER SIX Database Design to Support BK21 Program Evaluation and Measurement 161
Priority Among Proposed Measures
161
Database Design and Content
166
Format of Database Design Entries
173
CHAPTER SEVEN Future Development of BK21 and University Research in Korea 178
A Good Model for an Allocation System
178
Applying the Model to Korea
179
Research Project Funding
179
Portable Student Fellowships
181
Facilities and Infrastructure Funding
182
Promotion of Specific Regions or Fields
183
BK21 Program Management
183
Requirements for University and Department Governance
183
Changing the Korean System
184
Appropriate Scale and Number of Research Universities
185
Analogy to the U.S. System
185
Applying the Proposed Measurement Tools
189
Summary
191
CHAPTER EIGHT Conclusions 195
Directions for a Phase II Evaluation System
195
Phase II Program Goals and Characteristics Identified by the Logic Model
196
Quantitative Model and Data Requirements
196
Metrics, Measures, and Database to Assess Program Effects and to Monitor Progress
197
Assessing the Quality of Program Outputs and Outcomes
199
Quality of Research
199
Quality of the Highly Educated Workforce
200
Concentration Strategy and Competition Rule
201
Suggestions for Long-Term Changes in the Korean Scientific Research and Education System
202
Balancing Competition and Stability in Funding
202
Portable Student Fellowships
203
Infrastructure Funding
203
Improving University and Department Governance
204
Preconditions for the Proposed Changes
204
Enhancing Program Evaluation and Management Capabilities
205
APPENDIX
A. Performance Evaluation Metrics Used in Previous Evaluations of Phase I
207
B. Interview Guides for Representatives of Participants, Policymakers, and Users Related to the University Research and Education System
209
C. Selection Criteria for Applied Science Research Groups: Phase II
217
D. Table with Lagged Outcomes
219
E. Research Data Series
221
F. Education Data Series
229
G. Industry Data Series
237
H. General Data Series
243
Bibliography 245