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An Efficient Way of Applying Big Data Analytics in Higher Education Sector for Performance Evaluation

by Minimol Anil Job
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 23
Year of Publication: 2018
Authors: Minimol Anil Job
10.5120/ijca2018916434

Minimol Anil Job . An Efficient Way of Applying Big Data Analytics in Higher Education Sector for Performance Evaluation. International Journal of Computer Applications. 180, 23 ( Feb 2018), 25-32. DOI=10.5120/ijca2018916434

@article{ 10.5120/ijca2018916434,
author = { Minimol Anil Job },
title = { An Efficient Way of Applying Big Data Analytics in Higher Education Sector for Performance Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 180 },
number = { 23 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number23/29073-2018916434/ },
doi = { 10.5120/ijca2018916434 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:04:27.449105+05:30
%A Minimol Anil Job
%T An Efficient Way of Applying Big Data Analytics in Higher Education Sector for Performance Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 23
%P 25-32
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper evaluate how big data analytics can be used an efficient way for performance evaluation in education sector. The researcher is presenting a suggesting a framework for the big data analytics and highlights the comparison of the institutional data characteristics with big data characteristics. Due to the advancement of technology modern conventional approaches are adopted by educational institutions in teaching and learning. The number of students enrolling for advanced studies are registering for various courses is increasing day by day globally. The higher education sectors are increasingly getting technology centric and institutions under this sectors need to look for tools and technology for data acquisition and storage for further analysis as well as decision making. The huge amount of students’ data in these institutions can be considered as big data. Big Data refers to the large volume of the data as well as the technology and tools used to processes and analyze data into usable information. Academic institutions should make use of advanced technologies to yield the benefits from this huge amount of data. Also there is a need to understand how this big data analytics tools and technologies can be utilized in a way to take decisions and drive the institution towards benefitting from the big data.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Analysis Big Data Data Analytics performance evaluation Higher Education

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