Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Models | 4 |
| Simulation | 4 |
| Higher Education | 3 |
| Academic Support Services | 1 |
| Behavioral Sciences | 1 |
| Cohort Analysis | 1 |
| College Faculty | 1 |
| College Freshmen | 1 |
| College Planning | 1 |
| College Students | 1 |
| Computers | 1 |
| More ▼ | |
Source
| Research in Higher Education | 4 |
Author
| Bruss, Edward A. | 1 |
| Cutina, Kenneth L. | 1 |
| Kot, Felly Chiteng | 1 |
| Masland, Andrew T. | 1 |
| Weiler, William C. | 1 |
| Wilson, F. Scott | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kot, Felly Chiteng – Research in Higher Education, 2014
To enhance student success, many colleges and universities have expanded academic support services and programmatic interventions. One popular measure that has been recognized as critical to student success is academic advising. Many institutions have expanded advising by creating centralized units staffed with professional advisors who serve…
Descriptors: College Freshmen, Enrollment, Intervention, Academic Support Services
Peer reviewedMasland, Andrew T. – Research in Higher Education, 1983
Evaluations of widely used computer simulators identify a number of technical and organizational factors that are related to the simulator's success. Two aspects of organizational behavior that previous investigations have ignored--myth and ritual--are identified, and cost simulation models and a discussion of their evaluation are provided.…
Descriptors: Behavioral Sciences, College Planning, Computers, Costs
Peer reviewedWeiler, William C.; Wilson, F. Scott – Research in Higher Education, 1984
An important part of the analysis of the expected effects of institutional closure is estimation of redistribution of students attending the closed school. How coefficient estimates from models of enrollment demand can be used to predict the alternative attendance choices of students enrolled at the closed school is discussed. (Author/MLW)
Descriptors: College Students, Declining Enrollment, Enrollment Influences, Enrollment Projections
Peer reviewedBruss, Edward A.; Cutina, Kenneth L. – Research in Higher Education, 1981
Facing a future of static or declining funding available for faculty salaries, higher education must evolve strategies to enable its institutions to avoid stagnation of their faculty. Guidelines for health-science school administrators in formulating policies to maintain faculty vitality are proposed. (Author/MLW)
Descriptors: College Faculty, Contracts, Faculty Mobility, Faculty Promotion

Direct link
