Working with our partner universities over the last three years we have been analysing years of data, both off-line and online data of those who completed their courses and withdrew through millions of data point, from this we have created an algorithmic predictor allowing us to provide the university a scoring of the students most at risk of leaving.
We have used an exhaustive holistic approach by using off-line and online data, such as sports services, housing, employment etc…and cross-referencing this with other segmentation such as faculty, department and other factors we see as variables that affect retention.
Then the magic happens – we use this analysis to create a predictor for the new cohorts. It is allowing us to identify who is at risk or not of leaving and to communicate this back the student services. As a dynamic model that changes on a daily basis. So not only can we create dashboards for the client, but a daily summary of who the analysis thinks could be at risk.
Inbuilt in the system is a grading of the interventions so that it continuously is learning and providing better and better interventions.
We are continuing to work with our partners and are looking to start engaging with two more Australian universities at this initial release of WRAP.
If you would like to discuss WRAP, please get in touch below: