Re-engineering the enrollment management system at the Monterey Peninsula Unified School District (MPUSD)
This thesis establishes a Forecasting Enrollment Management (FEM) system within the Monterey Peninsula Unified School District (MPUSD). In particular, it examines the effect the forecasting of student enrollment since the untimely departure of the Deputy Superintendent (DepSup) who had performed the...
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Monterey, California. Naval Postgraduate School
2012
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Online Access: | http://hdl.handle.net/10945/2529 |
Summary: | This thesis establishes a Forecasting Enrollment Management (FEM) system within the Monterey Peninsula Unified School District (MPUSD). In particular, it examines the effect the forecasting of student enrollment since the untimely departure of the Deputy Superintendent (DepSup) who had performed the function as Chief Enrollment Official for over two decades. The closure of the Fort Ord Army Facility had a significant impact on the accuracy of enrollment projections and inadvertently affected the funding for special program allocations and staffing. The MPUSD has within its control twenty- three schools that service over 12,000 students each year using public funds. Four schools are located within military housing communities and typically service the school-age military dependents residing nearby. Each yearâ s funding is determined by an estimate projected from the previous yearâ s enrollment. The District is required to provide a budget request by April 15 th of each school operating year. The school district currently has no computational model adequate for projecting student enrollment; MPUSD uses a working group process to achieve its objective. A model that can more precisely project the number of students in each future year is developed; it can provide a more efficient enrollment management process and provide the necessary checks and balances for the current method. The thesis considers independent community related variables and historical data, and shows that prior-year enrollment figures can forecast future -year enrollment projections with smaller variance than the current working group method. === US Navy (USN) author |
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