Educational Data Mining Tools and Framework for Predicting Students Academic Performance

Abstract

Although the educational institutions have large amount of data but it is yet a difficult task to predict
achievement of students. We have described in this paper data collection, data cleaning, data mining
and predicting students’ performance on this data. Higher educational institutions are always keen to
know about the performance and success rate of their students. Using machine learning algorithms
students’ performance can be predicted. This paper we describe the concept of EDM and different
tools that are used for it. After collecting data, data cleaning and feature extraction are necessary for
extracting useful patterns from the enormous amount of data.