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205307

Improving the Quality of Education in Higher Schools by Developing the Students Capabilities using Data Mining Techniques

Article

Last updated: 28 Dec 2024

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Subjects

-

Tags

Engineering

Abstract

The main objective of this research work is to develop the performance of education in higher schools e-learning systems. This is accomplished with the aide of data mining (DM) techniques. The proposed model is applied on different students. Data is collected using online school tests, reports and quizzes. This paper applies SVM with accuracy 89%, Decision tree with accuracy 89%, M5-Rules with RMS error equal to 1.4621 and Linear Regression with RMS error equal to 2.0017, 3.0089 and 3.6057. Once getting both first and second grades, the presented results show a high predictive accuracy. Not only past student's evaluations affected in their academic achievement, but also other factors like father's and mother's jobs and absences. Briefly, student performance can be improved depending on predictive results and enhancing school systems.

DOI

10.21608/dusj.2018.205307

Keywords

Data mining, educational systems, classification, regression, Decision Trees

Authors

First Name

Ahmed

Last Name

Ashraf

MiddleName

-

Affiliation

Information Systems Dept., Faculty of Computer and Information Sciences, Mansoura University, Mansoura, EGYPT

Email

-

City

-

Orcid

-

First Name

Hazem

Last Name

El-Bakry

MiddleName

M.

Affiliation

Information Systems Dept., Faculty of Computer and Information Sciences, Mansoura University, Mansoura, EGYPT

Email

-

City

-

Orcid

-

First Name

Yehia

Last Name

Elmashad

MiddleName

Abdelazem

Affiliation

Delta University for Science and Technology, Gamasa, EGYPT

Email

ymashad@hotmail.com

City

-

Orcid

-

First Name

Samir

Last Name

Abd-Elrazik

MiddleName

-

Affiliation

Information Systems Dept., Faculty of Computer and Information Sciences, Mansoura University, Mansoura, EGYPT

Email

-

City

-

Orcid

-

First Name

Mohammed

Last Name

El-Desouky

MiddleName

-

Affiliation

Computer science Dept., Faculty of Computer and Information Sciences, Mansoura University, Mansoura, EGYPT

Email

-

City

-

Orcid

-

Volume

1

Article Issue

1

Related Issue

28895

Issue Date

2018-09-01

Receive Date

2021-11-17

Publish Date

2018-09-01

Page Start

35

Page End

43

Print ISSN

2636-3046

Online ISSN

2636-3054

Article File

DUSJ_Volume 1_Issue 1_Pages 35-43.pdf

PDF . 993.7kB

Link

https://dusj.journals.ekb.eg/article_205307.html

Detail API

https://dusj.journals.ekb.eg/service?article_code=205307

Order

4

Type

Review articles

Type Code

1,770

Publication Type

Journal

Publication Title

Delta University Scientific Journal

Publication Link

https://dusj.journals.ekb.eg/

MainTitle

Improving the Quality of Education in Higher Schools by Developing the Students Capabilities using Data Mining Techniques

Details

Type

Article

Created At

23 Jan 2023