NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Michael Moore; David Clingenpeel – College and University, 2024
Wake Forest University (WFU) is in the midst of a 28-month student information system (SIS) transition. The authors' offices are deeply involved in this process on a daily basis. As the university collects and analyzes data, discusses operational needs with campus colleagues, builds and configures tenants, tests and validates, and implements a new…
Descriptors: Registrars (School), Universities, Information Systems, Online Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Sandlin, Michele – College and University, 2019
This feature focuses on the five areas an institution needs to know before implementing holistic measures. These include: what does a holistic review entail, how to be legally complaint, Sedlacek's noncognitive variables, applying student success measures, and the vital importance of training.
Descriptors: Predictor Variables, Success, Holistic Approach, Compliance (Legal)
Peer reviewed Peer reviewed
Direct linkDirect link
Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Beaver, William – College and University, 2014
Non-selective Division III institutions often face challenges in meeting their enrollment goals. To ensure their continued viability, these schools recruit large numbers of student athletes. As a result, when compared to FBS (Football Bowl Division) institutions these schools have a much higher percentage of student athletes on campus and a…
Descriptors: Enrollment Trends, Enrollment Rate, Enrollment Management, College Athletics
Peer reviewed Peer reviewed
College and University, 1977
Covered in the proceedings of AACRAO's 63rd annual meeting are: basics in systems management; why, when, and how of reporting data; data base management systems; and budgeting. (LBH)
Descriptors: Budgeting, College Planning, Conference Reports, Data Analysis
Peer reviewed Peer reviewed
Firnberg, James W.; Christal, Melodie E. – College and University, 1984
A survey of institutions concerning their reporting of data on the Higher Education General Information Survey and specifically examining the differences in definitions and calculations among reporting institutions, confirmed suspected problems of comparability of information. The impact of these differences on data interpretation is discussed.…
Descriptors: Computation, Data Analysis, Definitions, Federal Government
Peer reviewed Peer reviewed
Sawyer, James A.; Nickens, John M. – College and University, 1980
The validity of a number of criticisms of community colleges' success in extending educational opportunity to students of low socioeconomic status was studied in 15 Florida community colleges. The results of data analysis of former community college students are discussed. (MLW)
Descriptors: College Role, College Transfer Students, Community Colleges, Data Analysis
Peer reviewed Peer reviewed
Gelso, Charles J.; And Others – College and University, 1971
Study to determine environmental changes at South Georgia College, how it occurs and how measurable. (IR)
Descriptors: Attitude Change, Change Agents, Data Analysis, Educational Environment
Peer reviewed Peer reviewed
Kieft, Raymond N. – College and University, 1977
A methodology for forecasting enrollments at the individual unit level is presented. It can be used to produce detailed enrollment projections (e.g., by class level by semester by year) or more aggregate information (e.g., academic or fiscal year total enrollment), and it does not require the typical institution to obtain new data. (LBH)
Descriptors: Computer Science, Credit Courses, Data Analysis, Educational Planning
Peer reviewed Peer reviewed
Bruker, Robert M.; Taliana, Lawrence E. – College and University, 1985
A series of surveys was used to assess the image of Southern Illinois University and to help identify institutional strengths and weaknesses. The surveys collected student and employee views on academic programs, policies, student services, facilities, and general functions. (MLW)
Descriptors: College Students, Data Analysis, Employees, Higher Education