Result Prediction Using K-Nearest Neighbor Algorithm For Student Performance Improvement

International Research Journal of Electronics and Computer Engineering

View Publication Info
 
 
Field Value
 
Title Result Prediction Using K-Nearest Neighbor Algorithm For Student Performance Improvement
 
Creator Muralidharan, Vijay
M., Pravien
Balaji, Janani
 
Description Abstract—The examination results have become an integral part of every student’s life. The educational institution’s ranking is greatly influenced by the university results. This paper mainly focuses on the prediction of a student’s university result by making use of different attributes. These attributes might be of quantitative and qualitative type. The quantitative attributes used are Internal Assessments, Attendance percentage, Number of On-Duties taken and Overall Assignments completed. The qualitative attributes include Subject feedback, Faculty feedback, and whether the student is a Day Scholar/Hosteller. Here, we make use of k-Nearest Neighbor algorithm (or k-NN for short) against the historical data of students for more accurate prediction of results. In this method all the attributes considered are converted to the same scale. This algorithm makes use of the Euclidean distance formula which is used to find the nearest record. This algorithm predicts better results which help students maximize their academic output.
 
Publisher Research Plus Journals
 
Date 2017-03-29
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
application/pdf
 
Identifier http://researchplusjournals.com/index.php/IRJECE/article/view/251
10.24178/irjece.2017.3.1.07
 
Source International Research Journal of Electronics and Computer Engineering; Vol 3 No 1 (2017): International Research Journal of Electronics and Computer Engineering; 7-10
2412-4370
 
Language eng
 
Relation http://researchplusjournals.com/index.php/IRJECE/article/view/251/469
http://researchplusjournals.com/index.php/IRJECE/article/view/251/470
 
Rights Copyright (c) 2017 International Research Journal of Electronics & Computer Engineering (ISSN Online: 2412-4370)
http://creativecommons.org/licenses/by-sa/4.0
 

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