A Study of Different Techniques in Educational Data Mining

Abstract

Educational Data Mining (EDM) is a dawning interdisciplinary research field that concerns with the development of tools/methods to analyze enormous amount of data generated by or related to an educational framework or system. Computational approaches may be employed to explore the educational data and study the educational queries. This paper surveys the important studies/debates carried out in EDM. It talks about the various components that form a part of the EDM system, and lists the goals of EDM. Firstly, it identifies the different tasks that can be applied in educational environment. It then provides the most common tasks/problems in the educational system that have been solved through data mining (DM) techniques. It also compares the different techniques employed in terms of the merits and demerits.