Opportunities and Challenges for Educational Data Mining

Abstract

Education provides the skills that will help to be meaningful and productive life to the learners. The pros we gain are one and the same to the standard of education that is accepted by the students. India is a growing country and is facing various number of challenges. Only a few resources under bad governance and non-consistent policies are more impaired than other issues.

Gender discrimination along with social and economic segmentation in society are also harming the present week education system. The cure against these curses demands full make use of the available resources and potentials under a structured advanced control and monitoring system for education. This review paper is researched how many types of educational data mining then compare all of them. Once genuine data collection is made possible, deducing meaningful knowledge for policies evolution is in circulation with the help of a proven evolved manner in the field of educational Data Mining. Grouping and Corporation, clustering, and reverting along with decision tree are the most suited methods to serve the motive. Understanding the significance of educational data mining techniques, along with how India’s Educational system can be profit from the execution of these methods, is of significant importance for providing Quality Education. The future scope of these researches in the terms which are presented in the future recommendation, simultaneously with the recommended area of algorithms and software for data mining with is needed in mine useful data as well.[1]