| Issue |
ITM Web Conf.
Volume 43, 2022
The International Conference on Artificial Intelligence and Engineering 2022 (ICAIE’2022)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/itmconf/20224301013 | |
| Published online | 14 March 2022 | |
Predicting the baccalaureate students admission: The influence of teacher and administration
Laboratory LIMA-UIZ, ENSA Agadir, Morocco
* Corresponding author. Email:hajebmen@gmail.com
In recent years, many data has been created about the field of education in Morocco after the introduction of the Education Information System since 2013, which can be used to study the results of the baccalaureate. According to the statistics given by the Moroccan Ministry of Education, the results of the baccalaureate were not more than 60% before 2017, and starting from 2018 the results began to rise due to several changes in the Morocco educational system. However, the number of students who dropped out of the qualifying secondary school was 67,000, with a percentage of 7.4% in 2019-2020. In this paper, the challenge is to create a model using several techniques from machine learning that will enable us to predict the results of the current school year after studying the results of previous years. This will helps decision-makers to improve students’ performance and explore the important factors that influence the prediction of the school-year end outcomes.
Key words: Prediction / Linear regression / Machine-learning / Keras
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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