Simpson Associates are the UK partner of Jenzabar Education Solutions who provide an engagement solution that combines data access, student engagement and predicted outcomes, allowing tutors and support staff to communicate with each other, to agree on appropriate student interventions and then to monitor implementation and results. The solution is split into 3 core areas:

Gathering student sentiment

Universities are telling us that one of their first hurdles is in capturing current and relevant data on which to base their engagement approach. The Jenzabar Student Success Survey lets you collect the non-cognitive inputs from your students, giving you much more information to complete the picture for every individual.

Early Alerts

When teams work disparately it is essential that a solution works to support collaboration and communication at all levels of student engagement and intervention.

Jenzabar Retention provides a fully integrated Concern Management System (CMS) which lets your staff provide individualised and specific intervention strategies based on a particular type of issue, thus allowing tutors enough time to support, intervene, retain or improve students.

Predictive Analytics

Like many of you, our customers are seeking the magic, black box of retention, and many vendors claim to impact persistence, but in our experience, student success is not the simple story people want it to be. Student results and standardised scoring are just one strand of an intertwined set of data that tells the complex story of student outcomes.

Jenzabar Retention’s predictive modelling functionality reflects the unique characteristics of your student population. An analysis of your current data, as far back as three years if required, identifies trends and individual risk factors affecting your retention and graduation rates. Weighting selected risk factors creates your own unique risk assessment model which is then applied to your campus, allow a clear and consistent view of who is safe, who is at risk, or who is at high risk.