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What is Predictive Academic Analytics?
Predictive Academic Analytics is a method that uses historical student data to forecast future academic outcomes. By analyzing patterns in attendance, assignment grades, and digital engagement, these systems identify students who may be at risk of failing a course or dropping out. The software processes this information to provide teachers and administrators with early warnings. This allows staff to offer personalized support or extra resources to students before they fall behind, shifting the focus from reactive grading to proactive student success.
Why this matters to you
It helps educational institutions move from reactive crisis management to proactive support. By identifying at-risk students early, schools can provide targeted interventions that improve retention rates and ensure students receive the help they need to succeed in their studies.
How you might hear this
The college uses predictive academic analytics to identify which students need extra advising sessions before the midterm exams.
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