On this page
Research Article | Open Access
Volume 13 2021 | None
Systematic Composite Macro Analysis and Prediction of Rural School Students Performance using Efficient Data Mining Techniques
Suresh Solomon.G, Nancy Jasmine Goldena
Pages: 2577-2591
Abstract
Education in rural areas is of great concern when an entire society of this country is to attain its fulfilment in all of its domain development goals. The slow growth of educational standards implementation affects the learning environment development and the students in these rural areas. In India there exists a lot of Rural areas in which the educational performance of the rural school students are inferior when compared it to the performance of the urban areas due to the lack of facilities, environment, income, employment opportunities, and exposure. This paper presents the systematic composite analysis and prediction of rural school student’s performance using efficient data mining techniques. The educational performance data are further processed for improving the student education environment. The final approach of this paper focuses on the proper selection of data mining tool to handle analysis the rural educational data collections for the improvements in various aspects of education environment. In near future this paper will be extended for the development of a real time model to access the rural educational environment using data mining approaches.
Keywords
Data Mining, Rural, Classification, Education, Performance
PDF
79
Views
15
Downloads