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Education data mining in higher education – a primary prediction model and its affecting parameters

Author: 
Jaimin N. Undavia, Prashant M. Dolia and Nikhil P. Shah
Subject Area: 
Physical Sciences and Engineering
Abstract: 

The major aspect of Data Mining is in education for various purposes. Prediction is the most widely used technique in Data Mining. In recent research, Data Mining in education is at its peak. Higher education institutes are preparing professional with expertise in discipline, high moral values and with extensive knowledge. To achieve this, they required candidates who are meant for the concern subject or institutes. So, Student Performance Prediction (SPS) become very much important for the higher education institutes. We may achieve the highest level of quality in higher education is by discovering knowledge of prediction regarding the academic history of particular student. So it is always better to have some prediction of student performance before admitted for particular course. Currently, EDM tends to focus on pattern discovery and that discovered pattern will be used in some learning analytics. The academic performance of the student may be influenced by many factors, so it becomes necessary to develop predictive data mining model for students. In this paper we have analyzed students of MCA/MBA 2012 batch of Charutar University of Science & Technology. At the end we will conclude the result against our parameters.

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