How to know when a student is about to drop out

Some student drop outs achieve incredible things. Bill Gates built Microsoft. Mark Zuckerberg built Facebook. But most commonly, dropping out of university is expensive for the student and harms their future prospects.

So how can lecturers predict if someone is likely to leave school? Analytics can help: simple processes can build an early-warning system by using data about student absences.

Equally, data can help students perform better by giving teachers and administrators a clear picture of student performance at an individual or group level. Lecturers can adjust their courses.

And it can reduce inefficiency, freeing up money to spend on priority areas. Budgeting is vital for a growing university. This report has detailed information on how technology can help a university grow. Complete your details to receive a copy.