An e-Enrollment Model for Public Schools in Developing Countries Using gis
Volkan YILDIRIM and Arif Cagdas AYDINOGLU, Turkey
TS 4H – SIM Applications
Volkan Yildirim and Mr. Arif Cagdas Aydinoglu
An e-Enrollment Model for Public Schools in Developing Countries Using
Strategic Integration of Surveying Services
FIG Working Week 2007
Hong Kong SAR, China, 13-17 May 2007
SUMMARY
Today, GIS is an efficient tool to tackle with many issues. The matters based on geographical information like determination of school catchments areas, the routes for school service buses, and Automatic Student Registration (ASR) are not a problem anymore with GIS in education sector. But deficiencies in residential address infrastructure, graphic and non-graphic data problems, and school capacity issues are the most important difficulties for ASR especially in developing countries. Geographical Information Systems (GIS) mapping procedures are used widely in ASR process. Furthermore, this is very important tool for determination of school catchments areas and route of school service buses.
The researches have shown that deficiency of GIS mapping procedures in developing countries is an important issue in school site management. In these countries, school catchments areas are mostly not determined, because address information have not enough accuracy with up-to-date, and routes for school buses are not so efficient. In this study, firstly, student registration processes are examined and system requirements are defined. In accordance, a prototype model was developed for Turkey where there are 36.712 public primary and secondary schools. Using this model, applications were carried out with actual data. This model include several graphic data layers as roads, buildings, school locations, administrative boundaries, and non-graphic layers as street numbers, residential addresses and school capacities. As a result, students had an opportunity to enroll the nearest school via internet using address information while school buses have been managed efficiently by minimizing costs with GIS functions.
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