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Open access Aug 2026

Comparative Statistical Validation of Ensemble and Deep Learning Models for Enhanced Student Performance Prediction in Computer-Aided Learning Environments

Empirical findings conclusively demonstrate that ensemble and deep learning methods significantly surpass traditional statistical approaches in predictive accuracy and robustness in Computer-Aided Learning systems, and provide strong empirical support for integrating advanced ML models into CAL environments.

Manoj · 0 citations

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