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Educational Data Mining on Performance of Under Graduate Students of Dibrugarh University using R

by Sadiq Hussain, Jiten Hazarika, G.c. Hazarika, Pranjal Buragohain
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 11
Year of Publication: 2015
Authors: Sadiq Hussain, Jiten Hazarika, G.c. Hazarika, Pranjal Buragohain
10.5120/20021-2044

Sadiq Hussain, Jiten Hazarika, G.c. Hazarika, Pranjal Buragohain . Educational Data Mining on Performance of Under Graduate Students of Dibrugarh University using R. International Journal of Computer Applications. 114, 11 ( March 2015), 10-16. DOI=10.5120/20021-2044

@article{ 10.5120/20021-2044,
author = { Sadiq Hussain, Jiten Hazarika, G.c. Hazarika, Pranjal Buragohain },
title = { Educational Data Mining on Performance of Under Graduate Students of Dibrugarh University using R },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 11 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number11/20021-2044/ },
doi = { 10.5120/20021-2044 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:27.593272+05:30
%A Sadiq Hussain
%A Jiten Hazarika
%A G.c. Hazarika
%A Pranjal Buragohain
%T Educational Data Mining on Performance of Under Graduate Students of Dibrugarh University using R
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 11
%P 10-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Most of the Universities and Educational Institutions of repute adopt educational data mining for the improvement of quality in education in general and students' improvement in particular. The research was carried out with the data of the students enrolled in different affiliated colleges of Dibrugarh University. The study explores the effect of performance on the basis of gender and caste. Another analysis was carried out to examine the trends of performance with respect to time using ARIMA Model. The authors also investigated impact of some of the socio-demographic factors on the performance of the students.

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Index Terms

Computer Science
Information Sciences

Keywords

Educational Data Mining R Programming ARIMA Two-way ANOVA

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