Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

Understanding, modeling, and predicting student performance in higher education poses significant challenges concerning the design of accurate and robust diagnostic models. While numerous studies attempted to develop intelligent classifiers for anticipating student achievement, they overlooked the i...

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Bibliographic Details
Main Authors: Abdullah Alshanqiti, Abdallah Namoun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Student performance
influential factors
hybrid approach
collaborative filtering
matrix factorization
fuzzy set theory
Online Access:https://ieeexplore.ieee.org/document/9250366/

Internet

https://ieeexplore.ieee.org/document/9250366/

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