Uncovering Key Factors of Student Performance in Math: An Explainable Deep Learning Approach Using TIMSS 2019 Data

Uncovering Key Factors of Student Performance in Math: An Explainable Deep Learning Approach Using TIMSS 2019 Data

In 2019, the TIMSS study offered a closer look at how Moroccan eighth-grade students were doing in mathematics. The data came from a sample of 8390 students; 37% performed well, while the remaining 63% struggled. The goal was to better understand which contextual factors truly influence academic suc...

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Bibliographic Details
Main Authors: Abdelamine Elouafi, Ilyas Tammouch, Souad Eddarouich, Raja Touahni
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Information
Subjects:
artificial intelligence
XGBoost
SVM
Random Forest
autoencoder
interpretable machine learning
Online Access:https://www.mdpi.com/2078-2489/16/6/480
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