A Survey on Forecasting Students Performance using EDM

Author(s):

C.R.Durga Devi , NGM College,pollachi

Keywords:

Association Analysis, Classification, Clustering, Education Data Mining, Prediction

Abstract:

Education is the process by which society deliberately transmits its gathered knowledge, values, and skills from one generation to another through institutions. Educational data mining concerns with developing techniques for analyzing data and acquire knowledge from the data that comes from educational domain. Education Data Mining (EDM) is a promising discipline which has an imperative impact on predicting student’s academic performance. Student’s academic performance in educational environment is based upon numerous factors. The main goal of educational data mining is to advance the student performance in academics. This paper studies various data mining techniques like prediction, classification, clustering, association analysis that has been applied and examined to evaluate the student’s performance.

Other Details:

Manuscript Id	:	IJSTEV2I1048
Published in	:	Volume : 2, Issue : 1
Publication Date	:	01/08/2015
Page(s)	:	73-76

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