Data-Driven Analysis of Students' Learning Behavior and Construction of Prediction Model

Think of this as a data-driven early‑warning system for student performance. It watches how students study and interact with learning systems (attendance, homework, online activity, quiz results), then uses a prediction model to estimate who is likely to struggle or succeed so teachers can intervene early.