Decision Support System for Education Development and Analysis of Education Facilities Using GIS

EasyChair Preprint no. 2212

Abstract

Myanmar’s Government is leading the process of national education reform. It is estimated that over one million children are still out of school in Myanmar due to poverty, geographical remoteness, disability, language conflict and other barriers. The purpose of this study is to determine education development in 4 townships of Meiktila District and to illustrate how GIS can be used in addressing the educational planning problems through a case study of educational facilities. In this article, 31 criteria are described to determine the ranking of educational development level of four townships; Meiktila, Mahlaing, Thazi and Wundwin in Mandalay Division, Myanmar. The ranking results are compared by using two methods of AHP and SAW. Ranking results and the most important criteria are generated in GIS environment to show how GIS platform can analyze educational development problems. GIS is well known to the planners, decision makers and other actors of planning as a Decision Support System (DSS) tool. As the future work, the analysis of the regional distribution of educational facilities, evaluation of spatial accessibility to the facilities and demographic data will be used in demand analysis for various educational services within the country.

Keyphrases: AHP, DSS, GIS, Location-allocation, MCDM, SAW

@Booklet{EasyChair:2212,
  author = {Kyi Kyi Myint and Nilar Thein},
  title = {Decision Support System for Education Development and Analysis of Education Facilities Using GIS},
  howpublished = {EasyChair Preprint no. 2212},

  year = {EasyChair, 2019}}