Data-crunching is helping colleges get more students to a degree, reports Joseph B. Treaster in the New York Times.
At Georgia State’s nursing school, the faculty used to believe that doing well in an introductory nursing class predicted who’d graduate. “Predictive analytics” showed that students could recover from a C in nursing — but not in math.
. . . fewer than 10 percent of nursing students with a C in math graduated, compared with about 80 percent of students with at least a B+. Algebra and statistics, it seems, were providing an essential foundation for later classes in biology,…
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