Mentioned in 2 AI use cases across 1 industries
This is like having a smart early-warning system for students: it quietly watches patterns in their grades, attendance, and engagement, and then flags which students are most at risk of failing or dropping out so staff can step in sooner.
This is like a smart early‑warning system for universities: it looks at patterns in student data (grades, attendance, demographics, behavior on learning platforms) and predicts which students are likely to struggle or drop out so staff can intervene earlier.