Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Higher Education | 2 |
| Models | 2 |
| Part Time Students | 2 |
| Undergraduate Students | 2 |
| Academic Achievement | 1 |
| Adult Students | 1 |
| Benchmarking | 1 |
| Budgets | 1 |
| College Admission | 1 |
| College Students | 1 |
| Comparative Analysis | 1 |
| More ▼ | |
Source
| Change: The Magazine of… | 1 |
Publication Type
| Reports - Descriptive | 2 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Adult Education | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Scaling Student Success with Predictive Analytics: Reflections after Four Years in the Data Trenches
Peer reviewed
Direct linkWagner, Ellen; Longanecker, David – Change: The Magazine of Higher Learning, 2016
The metrics used in the US to track students do not include adults and part-time students. This has led to the development of a massive data initiative--the Predictive Analytics Reporting (PAR) framework--that uses predictive analytics to trace the progress of all types of students in the system. This development has allowed actionable,…
Descriptors: Predictor Variables, Reflection, Academic Achievement, Models
Yost, Michael, Jr.; Chino, Laney – 1986
An admissions/enrollment model was developed using 5 years of data on undergraduate and graduate enrollment, admissions, budget and tuition revenues, and anticipated tuition costs. The model produced estimates of admissions and enrollment numbers required to meet projected increases in the institutional budget. Using a variation of the Markov…
Descriptors: Budgets, College Admission, College Students, Economic Factors
