syddansk erhvervsskole (SDE) uses data
to prevent drop-out
With the goal of increasing the completion rate in its students, SDE College has created a data-driven culture using the large quantities of data the college collects every day to say something about how many students are likely to drop out, and for whom the risk is the greatest. They additionally gain insight into what they have to do in order to prevent drop-out, e.g. what measures to target at individuals, what action is to be undertaken overall and when.
As part of this work, SDE College uses machine learning and so-called churn analyses, which indicate which students are in imminent danger of dropping out, why they are in the danger zone and what SDE College can do to prevent drop-out.