Predicting the baccalaureate students admission: The influence of teacher and administration
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2022/03/itmconf_icaie2022_01013.pdf |
| _version_ | 1819002259051118592 |
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| author | Essayad Abdesslam Kassimi My Abdellah |
| author_facet | Essayad Abdesslam Kassimi My Abdellah |
| author_sort | Essayad Abdesslam |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T23:02:15Z |
| format | Article |
| id | doaj.art-69e2647669fc4823858d058761b4cc2b |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-20T23:02:15Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-69e2647669fc4823858d058761b4cc2b2022-12-21T19:23:57ZengEDP SciencesITM Web of Conferences2271-20972022-01-01430101310.1051/itmconf/20224301013itmconf_icaie2022_01013Predicting the baccalaureate students admission: The influence of teacher and administrationEssayad Abdesslam0Kassimi My Abdellah1Laboratory LIMA-UIZLaboratory LIMA-UIZIn 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.https://www.itm-conferences.org/articles/itmconf/pdf/2022/03/itmconf_icaie2022_01013.pdfpredictionlinear regressionmachine-learningkeras |
| spellingShingle | Essayad Abdesslam Kassimi My Abdellah Predicting the baccalaureate students admission: The influence of teacher and administration ITM Web of Conferences prediction linear regression machine-learning keras |
| title | Predicting the baccalaureate students admission: The influence of teacher and administration |
| title_full | Predicting the baccalaureate students admission: The influence of teacher and administration |
| title_fullStr | Predicting the baccalaureate students admission: The influence of teacher and administration |
| title_full_unstemmed | Predicting the baccalaureate students admission: The influence of teacher and administration |
| title_short | Predicting the baccalaureate students admission: The influence of teacher and administration |
| title_sort | predicting the baccalaureate students admission the influence of teacher and administration |
| topic | prediction linear regression machine-learning keras |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2022/03/itmconf_icaie2022_01013.pdf |
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