Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Case Studies | 4 |
Enrollment Trends | 4 |
Evaluation Methods | 4 |
Data Analysis | 2 |
Data Collection | 2 |
Foreign Countries | 2 |
Prediction | 2 |
State Universities | 2 |
Academic Achievement | 1 |
Academic Failure | 1 |
Budgeting | 1 |
More ▼ |
Author
Chang, Lin | 1 |
Chiluiza, Katherine | 1 |
Méndez, Gonzalo | 1 |
Ochoa, Xavier | 1 |
Prabodanie, R. A. Ranga | 1 |
Salley, Charles D. | 1 |
Wijesundara, W. M. T. H. | 1 |
de Wever, Bram | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wijesundara, W. M. T. H.; Prabodanie, R. A. Ranga – International Journal of Educational Management, 2022
Purpose: This study aimed to evaluate the relative efficiencies of the state universities in Sri Lanka from 2017 to 2019 and their capacity to enroll more students. Design/methodology/approach: Data envelopment analysis (DEA) method was used to measure the relative efficiencies. Annual data on expenditure, academic staff, non-academic staff,…
Descriptors: State Universities, Efficiency, Enrollment Trends, Expenditures
Méndez, Gonzalo; Ochoa, Xavier; Chiluiza, Katherine; de Wever, Bram – Journal of Learning Analytics, 2014
Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…
Descriptors: Data Analysis, Data Collection, Educational Research, Curriculum Design
Chang, Lin – New Directions for Institutional Research, 2006
Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)
Descriptors: College Admission, Data Collection, Data Analysis, Models
Salley, Charles D. – 1978
Accurate enrollment forecasts are a prerequisite for reliable budget projections. This is because tuition payments make up a significant portion of a university's revenue, and anticipated revenue is the immediate constraint on current operating expenditures. Accurate forecasts are even more critical to revenue projections when a university's…
Descriptors: Budgeting, Case Studies, College Administration, College Planning