UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1806721


Registration ID:
184134

Page Number

169-173

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Title

Machine Intelligence to Predict Student Performance in Higher Education Institutions

Authors

Abstract

Predicting students’ educational performance in teaching-learning institutions becomes tougher as a result of the large volume of knowledge in educational databases. Advancement in machine intelligence create it attainable to mine these educational databases and to seek out most relevant data that yield innovative ways that of supporting students, educators and better education institutions. The purpose of this paper is to use the options of machine intelligence in teaching establishments and to predict students’ educational performance. This paper conjointly aims to specialise in however the prediction rule are often wont to determine the factors that influence the performance of scholars. As a case study, this paper employs machine intelligence ideas within the subject of packages to work out the tutorial performance level of the students so as to supply them a correct problem level of in operation System issues to unravel. To perform the case study, dataset from the educational management system WWW.avvmspclms.com of A.V.V.M. Sri Pushpam College is taken associated analysis is finished using WEKA an Open supply Tool.

Key Words

Machine Intelligence, Leaning Management System, WEKA

Cite This Article

"Machine Intelligence to Predict Student Performance in Higher Education Institutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.169-173, June-2018, Available :http://www.jetir.org/papers/JETIR1806721.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Machine Intelligence to Predict Student Performance in Higher Education Institutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp169-173, June-2018, Available at : http://www.jetir.org/papers/JETIR1806721.pdf

Publication Details

Published Paper ID: JETIR1806721
Registration ID: 184134
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 169-173
Country: Poondi, Thanjavur, Tamil Nadu, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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