Student Insight - Learning Analytics platform to optimise student performance and outcomes

Identify students at risk and intervene earlier using advanced predictive analytics which can be tailored to meet the unique characteristics of your institution and its students.

With the number of students dropping out of UK Universities approaching 10%, the retention and satisfaction of students is a key focus for higher education.

Use student, academic and activity data from your SIS, VLE, Library and other data sources to predict which students may benefit from intervention

Staff can identify students who may be at risk earlier

Monitor student non-continuation, academic performance risk and outcomes at all levels across the institution

Gain a greater understanding of student needs by identifying risk factors and understanding how they affect outcomes

Target more strategic interventions at the right students with dynamic integration with SID

Assess intervention effectiveness and take into account student feedback

APAC HE Annual Customer Conference 2016

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