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18 July 2022
Predicting Students’ Final Performance Using Artificial Neural Networks
Tarik Ahajjam(
),
),
Keywords:
neural networks, Machine Learning (ML), prediction, Artificial Intelligence (AI), data analysis, data science, recommendation, high school
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
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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.
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Predicting Students’ Final Performance Using Artificial Neural Networks
Tarik Ahajjam(
),
),
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.
Keywords:
neural networks, Machine Learning (ML), prediction, Artificial Intelligence (AI), data analysis, data science, recommendation, high school
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Publication history
Received: 25 November 2021
Accepted: 28 December 2021
Published:
18 July 2022
Issue date: December 2022
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© The author(s) 2022.
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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/).
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