Evaluating student levelling based on machine learning model’s performance

Evaluating student levelling based on machine learning model’s performance

Abstract In this paper, a novel application of machine learning algorithms is presented for student levelling. In multicultural countries such as UAE, there are various education curriculums where the sector of private schools and quality assurance is supervising various private schools for many nat...

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Bibliographic Details
Main Authors: Shatha Ghareeb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Wasiq Khan, Rawaa Al-Jumeily, Thar Baker, Ahmed Al Shammaa, Mohammed Khalaf
Format: Article
Language:English
Published: Springer 2022-05-01
Series:Discover Internet of Things
Subjects:
Machine learning
Student levelling datasets
Receiver operating characteristic (ROC)
Performance evaluations
Accuracy
The area under curve (AUC)
Online Access:https://doi.org/10.1007/s43926-022-00023-0

Internet

https://doi.org/10.1007/s43926-022-00023-0

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