Comparative Analysis for Boosting Classifiers in the Context of Higher Education

Comparative Analysis for Boosting Classifiers in the Context of Higher Education

Machine learning techniques are applied on higher education data for analyzing the interac-tion between the students and electronic learning systems. This type of analysis serves in predicting students’ scores, in alerting students-at-risk, and in managing the degree of stu-dent engagement to educat...

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Bibliographic Details
Main Authors: Eslam Abou Gamie, Samir Abou El-Seoud, Mostafa A. Salama
Format: Article
Language:English
Published: Kassel University Press 2020-06-01
Series:International Journal of Emerging Technologies in Learning (iJET)
Subjects:
learning analytics, education data mining, adaboost, xgboost, random for-est, support vector machine, oulad, virtual learning environment, learning management system.
Online Access:https://online-journals.org/index.php/i-jet/article/view/13663

Internet

https://online-journals.org/index.php/i-jet/article/view/13663

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