A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space

A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space

The prediction and analysis of students’ academic performance are essential tools for educators and learners to improve teaching and learning methods. Effective predictive methods assist learners in targeted studying based on forecast results, while effective analytical methods help educators design...

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Bibliographic Details
Main Authors: Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
student performance prediction
data fusion
feature importance analysis
machine learning
Online Access:https://www.mdpi.com/2227-7390/12/22/3597
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