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While demographic and socio-economic forces continue to shape the distribution and profile of the UK’s population, an increasingly critical component of national and local policy and planning is the delivery of appropriate education services. That means understanding the current and future composition of the school-age population is required when it comes to developing a school forecast.
It is the national projections which inform national strategies for education provisions nationwide. However, it is the local authorities who are responsible for the development of their own intelligence. That data gathered supports the most effective delivery of education services. Despite the Department for Education’s guidelines on the development of school forecasts, the models used are not consistent. In fact, a variety of data analysis methods were used. Typically, they were based upon common data sources within the DfE recommended framework. However, these are modified to meet local differences and developed using different technology and local expertise.
edge-ucate For School Forecasting
edge-ucate provides a robust and transparent data analysis method model to support school forecasting in local communities. Using desk-top technology, edge-ucate combines data from the School Census and local GP registration statistics. These tools provide the data to carry out individual school forecast for each school within a local authority.
edge-ucate enables the assessment of alternative growth scenarios. When performing a school forecast, edge-ucate takes into account migration factors, new housing development, plus school openings and closures.
The Output is provided in a detailed summary and enables the analysis and planning for the appropriate cluster of schools or geographical area.
edge-ucate and POPGROUP provide demographic school forecasts and enable the evaluation longer-term planning horizons. This ensures the use of a consistent methodology for all aspects of service planning. Additionally, edge-ucate provides users with a technical support help-line so that the most effective use of the model is guaranteed. What’s more, such a system also facilitates the sharing of ideas and experiences between users.
edge-ucate SEND provides a desktop planning system for the assessment of the current and future profile of pupils with special educational needs and disabilities.
Edge Analytics has developed a detailed data analysis method for deriving pupil yield factors; a crucial requirement in an accurate school place planning.