Students facing academic, financial, or personal hurdles may encounter college completion risk—the statistical likelihood of dropping out before earning a degree. Institutions use predictive analytics to identify at-risk learners early, enabling targeted interventions like tutoring or emergency aid. Ultimately, advisors, administrators, and policymakers benefit by improving graduation rates, while students gain crucial support to stay on track.
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