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

Ahajjam Tarik; Haidar Aissa; Farhaoui Yousef

doi:10.1016/j.procs.2021.03.104

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

Procedia Comput Sci. 2021:184:835-840. doi: 10.1016/j.procs.2021.03.104. Epub 2021 May 18.

Authors

Ahajjam Tarik¹, Haidar Aissa¹, Farhaoui Yousef¹

Affiliation

¹ L-STI,T-IDMS, University of Moulay Ismail, Faculty of Science and Technics, Errachidia, Morocco.

Abstract

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.

Keywords: COVID-19; Data Analysis; Data Science; Machine Learning; Recommendation; artificial intelligent; high school; prediction.