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

Tarik Ahajjam | Zendy; Haidar Aissa | Zendy; Yousef Farhaoui | Zendy

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

Author(s) -

Tarik Ahajjam,

Haidar Aissa,

Yousef Farhaoui

Publication year - 2021

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2021.03.104

Subject(s) - computer science , variety (cybernetics) , artificial intelligence , covid-19 , machine learning , medicine , disease , pathology , infectious disease (medical specialty)

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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