Computer Science
4 years ago

AI Predicts Student Struggles, Enabling Proactive Support for Academic Success

International Journal of Computing and Digital Systems
Machine Learning Approaches to Digital Learning Performance Analysis
Maksud Ahamad, Nesar Ahmad

Paper Summary

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The goal of the study was to predict students' academic performance using machine learning. Different algorithms were compared, and Support Vector Machine was found to be the most accurate at 94.82%. This can help identify students who may need extra help early on to improve their learning outcomes.