Enhancing the performance of educational systems using efficient opinion mining techniques

Mohamed Hegazy Mohamed (), Sayed Abdelgaber () and Laila Abd-Ellatif ()

Journal of Education and e-Learning Research, 2023, vol. 10, issue 1, 19-28

Abstract: Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective of our article is to enhance educational systems through the analysis of student comments, teacher comments and course comments. Furthermore, the proposed model uses a bundling task to make groups of packs for students from its comments. The datasets were 10,000 instances, 80% of which were for training and 20% for testing. The results showed that K-Means Algorithm had the best accuracy time /Sec of 0.03. The correctly classified 8,000 instances were equal to 96%, and incorrectly classified 2,000 instances were equal to 4%, Accuracy of the model is 95%, Recall is 94.8% and F-Measure is 93.7% between others algorithms. clustering and Association Rule Mining phases Algorithms namely Chi-Square test is good quality than Others Algorithms.

Keywords: Course comments; Educational systems; K-means algorithm; Opinion minning; Student comments; Teacher comments. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.asianonlinejournals.com/index.php/JEELR/article/view/4335/2551 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aoj:jeelre:v:10:y:2023:i:1:p:19-28:id:4335

Access Statistics for this article

More articles in Journal of Education and e-Learning Research from Asian Online Journal Publishing Group
Bibliographic data for series maintained by Sara Lim ().