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Big Data for Education in Students� Perspective

Published on February 2015 by G. Vaitheeswaran, L. Arockiam
journal_cover_thumbnail

Advanced Computing and Communication Techniques for High Performance Applications
Foundation of Computer Science USA
ICACCTHPA2014 - Number 4
February 2015
Authors: G. Vaitheeswaran, L. Arockiam
a0929dba-9c50-4331-ad7a-a2a0301a94d1

G. Vaitheeswaran, L. Arockiam . Big Data for Education in Students� Perspective. Advanced Computing and Communication Techniques for High Performance Applications. ICACCTHPA2014, 4 (February 2015), 11-17.

@article{
author = { G. Vaitheeswaran, L. Arockiam },
title = { Big Data for Education in Students� Perspective },
journal = { Advanced Computing and Communication Techniques for High Performance Applications },
issue_date = { February 2015 },
volume = { ICACCTHPA2014 },
number = { 4 },
month = { February },
year = { 2015 },
issn = 0975-8887,
pages = { 11-17 },
numpages = 7,
url = { /proceedings/icaccthpa2014/number4/19454-6041/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Advanced Computing and Communication Techniques for High Performance Applications
%A G. Vaitheeswaran
%A L. Arockiam
%T Big Data for Education in Students� Perspective
%J Advanced Computing and Communication Techniques for High Performance Applications
%@ 0975-8887
%V ICACCTHPA2014
%N 4
%P 11-17
%D 2015
%I International Journal of Computer Applications
Abstract

Big Data Analytics is the new technology for extracting hidden information from the large datasets or data deluge, due to its volume, variety, and velocity. This paper presents the overview of big data, its available technologies and tools and discusses the open issues of big data. Big data plays a significant role in education sector. Everything has become digitalized in the educational institutions, which leads to store and process enormous amount of data. Handling the huge amount of data is complex. The main focus of this paper is to propose a new approach to analyze the large streaming data that produced by web server logs of educational institution. The result represents the student's web usage behavior, which supports to make better decisions to improve the student's performance and suggest recommendations for their academic perspectives.

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Index Terms

Computer Science
Information Sciences

Keywords

Big Data Big Data Analytics Web Usage Mining.