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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
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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
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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