AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Predicting Students’ Final Performance Using Artificial Neural Networks

Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia 52000, Morocco
IMAGE Laboratory, Moulay Ismail University, Meknes 50000, Morocco
Show Author Information

Abstract

Artificial Intelligence (AI) is based on algorithms that allow machines to make decisions for humans. This technology enhances the users’ experience in various ways. Several studies have been conducted in the field of education to solve the problem of student orientation and performance using various Machine Learning (ML) algorithms. The main goal of this article is to predict Moroccan students’ performance in the region of Guelmim Oued Noun using an intelligent system based on neural networks, one of the best data mining techniques that provided us with the best results.

References

【1】
【1】
 
 
Big Data Mining and Analytics
Pages 294-301

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Ahajjam T, Moutaib M, Aissa H, et al. Predicting Students’ Final Performance Using Artificial Neural Networks. Big Data Mining and Analytics, 2022, 5(4): 294-301. https://doi.org/10.26599/BDMA.2021.9020030

2923

Views

304

Downloads

27

Crossref

8

Web of Science

33

Scopus

0

CSCD

Received: 25 November 2021
Accepted: 28 December 2021
Published: 18 July 2022
© The author(s) 2022.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).