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127110

An Automated Essay Grading Framework Based on Neural Networks.

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Electrical Engineering

Abstract

This paper presents a proposed framework depending on Artificial Neural Networks (ANN) that enhances the process of assessing student's essays in order to save the line and cost of manual scoring of these essays. This framework consists of five phases and the UML model of that framework is defined. Also the activity diagrams of that system are explained. During the learning algorithm phase, the network trained on a set of pre-graded student responses by teachers and then a set of essays not used in the training are introduced to a 10 tie network to judge the essay. The proposed framework was tested on case study and presents good results compared 10 a previously published work using the same case study with another technique.
 

DOI

10.21608/bfemu.2020.127110

Keywords

Essay grading, Automatic grading, artificial neural network, model

Authors

First Name

A.

Last Name

Hassan

MiddleName

E.

Affiliation

Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

arwaalimed1@yahoo.com

City

Mansoura

Orcid

-

First Name

A.

Last Name

Riad

MiddleName

M.

Affiliation

Head of Information System Department., Faculty of Computer & Information Sciences., El-Mansoura University., Egypt.

Email

amriad2000@yahoo.com

City

Mansoura

Orcid

-

First Name

A.

Last Name

Shehab

MiddleName

-

Affiliation

Assistant Professor., Faculty of Computer & Information Sciences., El-Mansoura University., Mansoura., Egypt.

Email

shehab_083@yahoo.com

City

Mansoura

Orcid

-

Volume

33

Article Issue

2

Related Issue

18957

Issue Date

2008-06-01

Receive Date

2008-04-11

Publish Date

2020-12-02

Page Start

10

Page End

21

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 33_Issue 2_Pages 10-21.pdf

PDF . 476.9kB

Link

https://bfemu.journals.ekb.eg/article_127110.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=127110

Order

7

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023