Abstract
School dropout susceptibility mapping with fuzzy logic – a study in the District of Purulia, India
Highlights
The execution of fuzzy logic generates the output as the 'Index of Susceptibility of Dropout' (ISDO), which is further disaggregated into four classes, namely 'Highly susceptible', 'Moderately susceptible', 'Marginally susceptible' and 'Rarely susceptible' for educational attainment (Table 7)
The spatial mapping of the different levels of dropout susceptibility was the prime objective of the present work
The output of the fuzzy model resulted in the pointwise values of Index of Susceptibility of School Drop Out (ISDO), which was standardised with reference to the Mean and Standard Deviation of the distribution
Summary
Drawing the 'contours' of dropout through a careful integration of all these factors will be helpful to: (i) understand the spatial variations of the level of an education-friendly socio-economic environment; (ii) assess the spatial differences of the response of the contributing or constraining factors on the choice of an individual towards the 'acceptance' or 'refusal' of undergoing an educational level, and (iii) obtain the basic knowledge on the educational disparities to address the issue through future planning and policy formulation. This was made by collecting the samples randomly from each C.D. Block, provided that the sample is distributed at least one census village in each of 170 GPs and one municipal ward of each of three urban municipalities of the districts ensuring the representation of the entire study area. The coordinates of all the surveyed villages (will be mentioned as ‘sites’ in the following part of the paper) were recorded with the help of a GPS handset for the purpose of plotting the data with GIS Software platform (Figure 2)
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