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Reseach Article

Using Artificial Intelligence Techniques for Evaluating Practical Art Products for the Students in Art Education

by A. E. E. Elalfi, M. F. Elatawy, Nadia M. Mahmoud
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 15
Year of Publication: 2018
Authors: A. E. E. Elalfi, M. F. Elatawy, Nadia M. Mahmoud
10.5120/ijca2018917831

A. E. E. Elalfi, M. F. Elatawy, Nadia M. Mahmoud . Using Artificial Intelligence Techniques for Evaluating Practical Art Products for the Students in Art Education. International Journal of Computer Applications. 182, 15 ( Sep 2018), 19-26. DOI=10.5120/ijca2018917831

@article{ 10.5120/ijca2018917831,
author = { A. E. E. Elalfi, M. F. Elatawy, Nadia M. Mahmoud },
title = { Using Artificial Intelligence Techniques for Evaluating Practical Art Products for the Students in Art Education },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2018 },
volume = { 182 },
number = { 15 },
month = { Sep },
year = { 2018 },
issn = { 0975-8887 },
pages = { 19-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number15/29939-2018917831/ },
doi = { 10.5120/ijca2018917831 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:11:30.097913+05:30
%A A. E. E. Elalfi
%A M. F. Elatawy
%A Nadia M. Mahmoud
%T Using Artificial Intelligence Techniques for Evaluating Practical Art Products for the Students in Art Education
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 15
%P 19-26
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper develops a new technique to evaluate students’ performance in both designing and drawing subjects automatically without human intervention. This new technique leads to an accurate and quick evaluation. It is based on image processing. It differs from hand assessment in saving big time and effort for the faculty members and achieving credibility between students. Besides improving student grade with identifying points of strengthens and weaknesses, results evince that image processing method is excellently dependable in assessing art images.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Artificial Intelligence Art Education GLCM Machine Learning.