What if teachers and principals could then predict whether a student is likely to disengage, fail subjects and ultimately drop out?
Using data analytics they can now identify early indicators that contribute to students tendencies to fail or drop out. This helped one school increase graduation rates from 55% to 78%.
Analytics captures students progression in school in real time for example, academic performance participation, sports, attendance records, health records, reading standards, and class participation. This allows teachers and principals to arrange courses to suit to individual student needs – avoiding high exam fail rates and helping more to graduate.
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