SNHU draws data from a number of different systems: a student information system (SIS), a customer relationship management system (CRM), financial systems and the Brightspace learning management system (LMS), to name a few.
With so many points of data to provide a holistic view of each student, advisors are supplied with the information they need to make impactful decisions and act with speed and confidence. At a high level, datasets can reveal a simple risk assessment: low, medium, and high. Reports reveal the login time with their courses, but also with 3rd-party vendor learning resources to gauge each student’s level of engagement. Data can verify if a student receiving financial aid is meeting the obligations for student participation. This is critical in the first week of a course and early intervention can ensure a student maintains their funding.
From a high level, advisors and administration can examine the completion rate of each student. Engagement with advisors can be quantified by looking at CRM data to determine when the last contact was made. GPA data from a prior term, or cumulative GPA can be weighed against a current academic issue. This data allows advisors to consider whether a drop in grade is an ongoing trend, or perhaps simply an anomaly due to a personal event in the student’s life. By examining the final grade range (for example, it drops below a certain threshold) advisors can look for opportunities to raise them up as the term continues.
They can pinpoint the moment in a course where something began to falter in the student’s learning path and reach out to that student to make a personal enquiry. If a student is struggling within their own course, advisors can quickly look at other students in that course to determine if the issue is with the assignment itself, which can lead to a review of the assignment’s parameters, its instructions, its scope, etc.