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What is Predicting Student Dropout with AI about?

This study proposes an Educational Data Mining (EDM) system that integrates explainable AI (XAI) techniques to predict student academic performance and provide a support system. Utilizing machine learning models like XGBoost, the system achieved an accuracy of 83% and identifies key factors influencing academic success. The research aims to enhance educational outcomes by offering personalized recommendations based on real-time data analysis.

Author

Aldi Kurniawan

Language

EN