How Machine Learning Helps Predict Student Success and Dropouts
Core idea Machine learning predicts student success and potential dropouts by learning patterns from historical data—grades, attendance, LMS activity, demographics, and engagement—to flag at‑risk learners early and recommend targeted interventions that improve retention and completion. What ML models use Algorithms that perform well Evidence and 2025 signals From prediction to action Guardrails: equity, privacy, trust … Read more