Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19

Artificial intelligence is based on algorithms that enable machines to make decisions instead of humans. This technology improves user experiences in a variety of areas. In this paper we discuss an intelligent solution to predict the performance of Moroccan students in the region of Guelmim Oued Nou...

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Detalles Bibliográficos
Autores principales: Tarik, Ahajjam, Aissa, Haidar, Yousef, Farhaoui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128667/
https://www.ncbi.nlm.nih.gov/pubmed/34025824
http://dx.doi.org/10.1016/j.procs.2021.03.104
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author Tarik, Ahajjam
Aissa, Haidar
Yousef, Farhaoui
author_facet Tarik, Ahajjam
Aissa, Haidar
Yousef, Farhaoui
author_sort Tarik, Ahajjam
collection PubMed
description Artificial intelligence is based on algorithms that enable machines to make decisions instead of humans. This technology improves user experiences in a variety of areas. In this paper we discuss an intelligent solution to predict the performance of Moroccan students in the region of Guelmim Oued Noun through a recommendation system using artificial intelligence techniques during the COVID-19.
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spelling pubmed-81286672021-05-18 Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19 Tarik, Ahajjam Aissa, Haidar Yousef, Farhaoui Procedia Comput Sci Article Artificial intelligence is based on algorithms that enable machines to make decisions instead of humans. This technology improves user experiences in a variety of areas. In this paper we discuss an intelligent solution to predict the performance of Moroccan students in the region of Guelmim Oued Noun through a recommendation system using artificial intelligence techniques during the COVID-19. The Author(s). Published by Elsevier B.V. 2021 2021-05-18 /pmc/articles/PMC8128667/ /pubmed/34025824 http://dx.doi.org/10.1016/j.procs.2021.03.104 Text en © 2021 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Tarik, Ahajjam
Aissa, Haidar
Yousef, Farhaoui
Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19
title Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19
title_full Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19
title_fullStr Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19
title_full_unstemmed Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19
title_short Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19
title_sort artificial intelligence and machine learning to predict student performance during the covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128667/
https://www.ncbi.nlm.nih.gov/pubmed/34025824
http://dx.doi.org/10.1016/j.procs.2021.03.104
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