Effective Feature Prediction Models for Student Performance

Effective Feature Prediction Models for Student Performance

The ability to accurately predict how students will perform has a significant impact on the teaching and learning process, as it can inform the instructor to devote extra attention to a particular student or group of students, which in turn prevents those students from failing a certain course. When...

Full description

Bibliographic Details
Main Authors: Bashayer Alsubhi, Basma Alharbi, Nahla Aljojo, Ameen Banjar, Araek Tashkandi, Abdullah Alghoson, Anas Al-Tirawi
Format: Article
Language:English
Published: D. G. Pylarinos 2023-10-01
Series:Engineering, Technology & Applied Science Research
Subjects:
student performance
Artificial Neural Networks
support vector machine
Naïve Bayes
K-nearest neighbors classifier
Online Access:http://www.etasr.com/index.php/ETASR/article/view/6345

Internet

http://www.etasr.com/index.php/ETASR/article/view/6345

Similar Items