A Dynamic Enrollment Simulation Model for Planning and Decision Making in a University

A Dynamic Enrollment Simulation Model for Planning and Decision Making in a University
Author :
Publisher :
Total Pages : 191
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ISBN-10 : OCLC:897814127
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Rating : 4/5 (27 Downloads)

Book Synopsis A Dynamic Enrollment Simulation Model for Planning and Decision Making in a University by : Luis F. Robledo

Download or read book A Dynamic Enrollment Simulation Model for Planning and Decision Making in a University written by Luis F. Robledo and published by . This book was released on 2013 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision support systems for university management have had limited improvement in the incorporation of new cutting-edge techniques. Most decision-makers use traditional forecasting methods to base their decisions in order to maintain financially affordable programs and keep universities competitive for the last few decades. Strategic planning for universities has always been related to enrollment revenues, and operational expenses. Enrollment models in use today are able to represent forecasting based on historical data, considering usual variables like student headcount, student credit, among others. No consideration is given to students' preferences. Retention models, associated to enrollment, deal with average retention times leaving off preferences as well. Preferences play a major role at institutions where students are not required to declare their intentions (major) immediately. Even if they do, they may change it if they find another, more attractive major, or they may even decide to leave college for external reasons. Enrollment models have been identified to deal with three main purposes: prediction of income from tuition (in-state, out-of-state), planning of future courses and curriculum, and allocation of resources to academic departments, This general perspective does not provide useful information to faculty and Departments for detailed planning and allocation of resources for the next term or year.


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