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📄 Analysis and Prediction of At-Risk Students Using Machine Learning Algorithms
Gheisari and Salarian (2026) apply supervised machine learning classification to identify at-risk students before they withdraw from higher education programs. The study evaluates Logistic Regression,…
2026-06-23 · learning-analytics, higher-ed, student-modeling, rct, llm

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