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Dataset of student level prediction in UAE

A primary dataset is presented comprising student grading records and educational diversity information. The dataset is collected from two international schools, a British curriculum, and an American Curriculum schools based in Abu Dhabi, United Arab Emirates. Following the ethical approval from Liv...

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Detalles Bibliográficos
Autores principales: Ghareeb, Shatha, Hussain, Abir, Khan, Wasiq, Al-Jumeily, Dhiya, Baker, Thar, Al-Jumeily, Rawaa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937958/
https://www.ncbi.nlm.nih.gov/pubmed/33732825
http://dx.doi.org/10.1016/j.dib.2021.106908
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author Ghareeb, Shatha
Hussain, Abir
Khan, Wasiq
Al-Jumeily, Dhiya
Baker, Thar
Al-Jumeily, Rawaa
author_facet Ghareeb, Shatha
Hussain, Abir
Khan, Wasiq
Al-Jumeily, Dhiya
Baker, Thar
Al-Jumeily, Rawaa
author_sort Ghareeb, Shatha
collection PubMed
description A primary dataset is presented comprising student grading records and educational diversity information. The dataset is collected from two international schools, a British curriculum, and an American Curriculum schools based in Abu Dhabi, United Arab Emirates. Following the ethical approval from Liverpool John Moores University (19/CMS/001), the data is collected through gatekeepers. A permission letter was granted from the Ministry of Education and Knowledge in Abu Dhabi, UAE to provide access to the schools. The dataset is anonymised by eliminating sensitive and identifiable students’ information and prepared to be used for pattern analysis and prediction of student grading based on diverse educational backgrounds that might be useful for automated student levelling, i.e., at which level the student needs to be entered when moved from a different school with different international curriculum.
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spelling pubmed-79379582021-03-16 Dataset of student level prediction in UAE Ghareeb, Shatha Hussain, Abir Khan, Wasiq Al-Jumeily, Dhiya Baker, Thar Al-Jumeily, Rawaa Data Brief Data Article A primary dataset is presented comprising student grading records and educational diversity information. The dataset is collected from two international schools, a British curriculum, and an American Curriculum schools based in Abu Dhabi, United Arab Emirates. Following the ethical approval from Liverpool John Moores University (19/CMS/001), the data is collected through gatekeepers. A permission letter was granted from the Ministry of Education and Knowledge in Abu Dhabi, UAE to provide access to the schools. The dataset is anonymised by eliminating sensitive and identifiable students’ information and prepared to be used for pattern analysis and prediction of student grading based on diverse educational backgrounds that might be useful for automated student levelling, i.e., at which level the student needs to be entered when moved from a different school with different international curriculum. Elsevier 2021-02-24 /pmc/articles/PMC7937958/ /pubmed/33732825 http://dx.doi.org/10.1016/j.dib.2021.106908 Text en © 2021 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Ghareeb, Shatha
Hussain, Abir
Khan, Wasiq
Al-Jumeily, Dhiya
Baker, Thar
Al-Jumeily, Rawaa
Dataset of student level prediction in UAE
title Dataset of student level prediction in UAE
title_full Dataset of student level prediction in UAE
title_fullStr Dataset of student level prediction in UAE
title_full_unstemmed Dataset of student level prediction in UAE
title_short Dataset of student level prediction in UAE
title_sort dataset of student level prediction in uae
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937958/
https://www.ncbi.nlm.nih.gov/pubmed/33732825
http://dx.doi.org/10.1016/j.dib.2021.106908
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