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Predicting Student Churn: Using Data Modeling to Identify and Prevent Dropout Risks
Every academic year, a quiet tragedy plays out across universities and online learning platforms worldwide. It starts with a student skipping a single online lecture. A week later, they miss an optional discussion forum post. By month two, an assignment is submitted late—or not at all. Soon after, they stop logging into the portal entirely. In the corporate world, this is called customer...
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