A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models

A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models

Advancements in modern technology have significantly increased the availability of educational data, presenting researchers with new challenges in extracting meaningful insights. Educational Data Mining offers analytical methods to support the prediction of student outcomes, development of intellige...

Full description

Saved in:
Bibliographic Details
Main Authors: Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
deep learning (DL)
machine learning (ML)
feature selection (FS)
educational data mining (EDM)
artificial neuronal networks (ANNs)
AutoML
Online Access:https://www.mdpi.com/2076-3417/15/9/4818
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/15/9/4818

Similar Items