International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 160 - Issue 4 |
Published: Feb 2017 |
Authors: Garima Sharma, Santosh K. Vishwakarma |
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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
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.