Implementing quality assurance practices in teaching machine learning in higher education

2023;
: pp. 660–667
https://doi.org/10.23939/mmc2023.03.660
Received: February 16, 2023
Revised: July 08, 2023
Accepted: July 09, 2023

Mathematical Modeling and Computing, Vol. 10, No. 3, pp. 660–667 (2023)

1
University Hassan II, Faculty of Science, Ben M’Sik, Laboratory LTIM, Casablanca, Morocco
2
University Hassan II, Faculty of Science, Ben M’Sik, Laboratory LTIM, Casablanca, Morocco

The development of machine learning and deep learning (ML/DL) change the skills expected by society and the form of ML/DL teaching in higher education.  This article proposes a formal system to improve ML/DL teaching and, subsequently, the graduates' skills.  Our proposed system is based on the quality assurance (QA) system adapted to teaching and learning ML/DL and implemented on the model suggested by Deming to continuously improve the QA processes.

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