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Roblyer, M. D.; Davis, Lloyd; Mills, Steven C.; Marshall, Jon; Pape, Liz – American Journal of Distance Education, 2008
Two lines of research have emerged to study the causes and prevention of student failure in virtual (K-12) schools: studies of learner characteristics and studies of learning environment characteristics. To develop a useful model for predicting failure and promoting success in virtual school environments, a study was designed to measure the…
Descriptors: Educational Environment, Student Attitudes, Educational Technology, Models

King, Gerald N. – Educational Planning, 1976
Offers a brief description of the overall activities and methods employed in Project SWEP and provides some detail on the ways in which a futures-orientation and methods associated with futures studies were used in the project. (Author/IRT)
Descriptors: Educational Objectives, Educational Planning, Futures (of Society), Models
Chi, Keon S. – World Future Society Bulletin, 1984
More than 25 states have undertaken a futures project, a special program established to address long-term goals, emerging policy issues, and strategies for implementing these goals and issues for state government. Presented are models and methods for conducting state future projects, based on a survey of recent experiences. (Author/RM)
Descriptors: Futures (of Society), Long Range Planning, Models, Prediction
Mason, Thomas R. – 1968
Simulation is the process of synthetically manipulating the variables in a model of a system for the purpose of understanding, experimenting with, and predicting the behavior of that system. Many different models are now being developed by university administrators to aid them in making decisions. Simulation models have been developed for…
Descriptors: Administrative Problems, Decision Making, Higher Education, Instructional Programs

Paulsen, Michael B. – College and University, 1989
A simple and effective model for forecasting freshman enrollment during the application period is presented step by step. The model requires minimal and readily available information, uses a simple linear regression analysis on a personal computer, and provides updated monthly forecasts. (MSE)
Descriptors: College Applicants, College Freshmen, Computer Oriented Programs, Enrollment Projections