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Duffey, Dick – Engineering Education, 1973
Presents five statistical tables relating to nuclear engineering education, namely, course offerings by U.S. and Canadian schools; degrees and enrollment; enrollment, courses, and staff by schools; degrees granted by schools; and research contributions to the American Nuclear Society meetings. (CC)
Descriptors: Courses, Educational Programs, Engineering Education, Enrollment Projections
Peer reviewed Peer reviewed
McNamara, James F. – Planning and Changing, 1972
Descriptors: Age, Educational Planning, Enrollment Projections, Enrollment Trends
NEA Res Rep, 1969
Public-school statistical data are given for 50 states and the District of Columbia for the years 1959-1969. Revised estimates by state and region for 1968-69 and preliminary estimates for 1969-70 are presented in tabular form. (DB)
Descriptors: Elementary Schools, Enrollment Projections, Expenditures, Income
Peer reviewed Peer reviewed
Charters, W. W., Jr. – Administrator's Notebook, 1971
Discusses enrollment projection in terms of the general logic of statistical prediction. (Author)
Descriptors: Cohort Analysis, Enrollment, Enrollment Projections, Enrollment Trends
Principal, 1982
Reproduces selected text, charts, and tables from the National Center for Education Statistics 1982 report, "The Condition of Education," by Nancy Dearman and Valena Plisko. In the 1980s the numbers of preprimary and elementary school children are projected to rise while the secondary school age group will shrink. (Author/JM)
Descriptors: Elementary Secondary Education, Enrollment Influences, Enrollment Projections, Enrollment Trends
Landis, Fred – Engineering Education, 1981
Cites data on engineering enrollment, graduation, and employment for years 1952 to 1979. States that attempts to predict future student numbers and employment from examination of this data provides little guidance in arriving at conclusions. (CS)
Descriptors: College Graduates, College Students, Employment Patterns, Engineering
Peer reviewed Peer reviewed
Gardner, Don E. – Research in Higher Education, 1981
The merits of double exponential smoothing are discussed relative to other types of pattern-based enrollment forecasting methods. The basic assumptions and formulas for its use are outlined. The difficulties associated with selecting an appropriate weight factor are discussed, and the potential effect on prediction results is illustrated.…
Descriptors: Colleges, Enrollment Projections, Exponents (Mathematics), Higher Education
Peer reviewed Peer reviewed
Davis, Russell G.; Lewis, Gary M. – NASSP Bulletin, 1977
Although school populations will increase again beginning in the 1980s, presently they are declining. The need for changes in curriculum, pedagogy, and the mode and site for delivery of services are traceable from demographic analysis; the form of the educational response is not. (Author/IRT)
Descriptors: Declining Enrollment, Economic Factors, Educational Trends, Elementary Secondary Education
Peer reviewed Peer reviewed
Hoverstad, Ronald; Sylvester, Ray; Voss, Kevin E. – Journal of Marketing for Higher Education, 2001
Introduces a model for estimating the amount of revenue a typical student will bring to an institution of higher education. The model uses event history analysis to analyze the length of time a typical student will remain enrolled, and then uses this estimate in combination with tuition numbers to arrive at revenue estimates. (EV)
Descriptors: College Attendance, College Students, Enrollment Projections, Higher Education
Weldon, Ward; And Others – School Business Affairs, 1989
To make effective long-term plans, school districts need enrollment projections obtained from objective census-style data and the more subjective information available through interviews with local decision-makers. (MLF)
Descriptors: Decision Making, Educational Planning, Elementary Secondary Education, Enrollment Projections
Peer reviewed Peer reviewed
Liner, Charles D. – School Law Bulletin, 1995
During the next decade statewide public school enrollment in North Carolina will continue the upward trend begun in 1990-91, but the rate of growth in enrollment will decline over the decade. Two tables and one figure illustrate the actual and projected enrollment data. (MLF)
Descriptors: Average Daily Membership, Educational Trends, Elementary Secondary Education, Enrollment Projections
Rist, Marilee C. – Executive Educator, 1993
Dade County (Florida) Public School Superintendent Octavio Visiedo demonstrated his four-star leadership capabilities in the wake of Hurricane Andrew's devastation. For weeks, Visiedo tirelessly directed military personnel and school workers in massive clean-up and repair efforts. When all but 10 of the district's 287 schools opened in…
Descriptors: Biographies, Crisis Management, Elementary Secondary Education, Enrollment Projections
Dekel, Gabriel P. – School Business Affairs, 1994
Proposes a method of accurately predicting neighborhood population through the idea of a neighborhood life cycle that draws a connection between the overall projected population and the specific demographic characteristics of individual neighborhoods. (MLF)
Descriptors: Elementary Secondary Education, Enrollment Projections, Methods, Neighborhoods
DeJong, William S.; Craig, Joyce – Educational Facility Planner, 2000
Discusses school capacity determination for K-12 public elementary and middle schools, and special education. Capacity determination is illustrated based on 25 students per class. (GR)
Descriptors: Class Size, Elementary Secondary Education, Enrollment Projections, Public Schools
Weissman, Julie; Stroupe, Jane – 1993
Personnel at the College of Lake County (CLC) developed a projections model for student enrollment that satisfies the need for information for budget projections and for planning purposes. CLC is a medium-sized suburban community college located north of Chicago. The Enrollment Management Team was asked to create a process to project enrollments…
Descriptors: Community Colleges, Educational Finance, Enrollment, Enrollment Projections
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