Research Article
Analysis and Prediction of Student’s Academic Performance in University Courses
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 160 - Issue 4 |
| Published: Feb 2017 |
| Authors: Garima Sharma, Santosh K. Vishwakarma |
10.5120/ijca2017913045
|
Garima Sharma, Santosh K. Vishwakarma . Analysis and Prediction of Student’s Academic Performance in University Courses. International Journal of Computer Applications. 160, 4 (Feb 2017), 40-44. DOI=10.5120/ijca2017913045
@article{ 10.5120/ijca2017913045,
author = { Garima Sharma,Santosh K. Vishwakarma },
title = { Analysis and Prediction of Student’s Academic Performance in University Courses },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 160 },
number = { 4 },
pages = { 40-44 },
doi = { 10.5120/ijca2017913045 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Garima Sharma
%A Santosh K. Vishwakarma
%T Analysis and Prediction of Student’s Academic Performance in University Courses%T
%J International Journal of Computer Applications
%V 160
%N 4
%P 40-44
%R 10.5120/ijca2017913045
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Management of huge amount of data has always been a matter of concern. With the increase in awareness towards education, the amount of data in educational institutes is also increasing. The increasing growth of educational databases, have given rise to a new field of data mining, known as Educational Data Mining (EDM). With the help of this one can predict the academic performance of a student that can help the students, their instructors and also their guardians to take necessary actions beforehand to improve the future performance of a student. This paper deals with the implementation of ID3 decision tree algorithm to build a predictive model based on the previous performances of a student. The dataset used in this paper is the semester data of the students of a private institute of India. Rapidminer, an open source software platform is used to obtain the results.
References
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- Rapidminer Studio Documentation http://docs.rapidminer.com/studio/
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