A Recent Exploration on Student Performance Analysis using Educational Data Mining Methods

Author:

R Jayasree, ,N.A Dr. Sheela Selvakumari,

Abstract

Predicting students’ overall performance turns into greater difficult because of the massive quantity of records in academic databases. Currently in India, the shortage of current system to examine and display the student development and overall performance isn't always being addressed. Hence on this paper, supplied an in-depth literature assessment on predicting student overall performance through the use of data mining strategies is proposed to enhance students’ achievements. The main goal of this paper is to offer an outline at the data mining strategies which have been used to predict students’ overall performance. We may want to really enhance students’ achievement and success greater efficaciously in an efficient manner the use of academic records mining strategies. It could convey the benefits and affects to students, educators and educational institutions.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Reference44 articles.

1. Knowledge discovery from academic data using association rule mining;Ahmed;In 2014 17th international conference on computer and information technology (ICCIT) (pp,2014

2. Analyzing students' performance using multicriteria classification;Al-Obeidat;Cluster Computing,2017

3. Bayer, J., Bydzovsk'a, H., G'eryk, J., Obsivac, T., Popelinsky, L. (2012). Pre-dicting drop-out from social behaviour of students. In International confer-ence on educational data mining (EDM).

4. Identifying the comparative academic performance of secondary schools;Bendikson;Journal of Educational Admin-istration,2011

5. Introduction to the special section on educational data mining;Calders;Acm Sigkdd Explorations Newsletter,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3