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Deep Dive: Predicting Student GPA

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Virtual

To achieve a deeper look into student success, many Rapid Insight users employ first-semester GPA modeling. This practice predicts a student’s GPA instead of a binary outcome like persistence. GPA modeling creates opportunities for a more nuanced understanding of a student’s likelihood of success and enables early intervention.

Session Details

In this session, attendees will receive step-by-step guidance in Rapid Insight Predict on how to build a predictive model for GPAs which can apply to students at any point in their academic careers whether it is their first or fourth year. We will also discuss interventions and unexpected discoveries that may surface while using these models.

This session is best suited for Rapid Insight users of Predict, student success professionals, individuals that support student success via predictive modeling or data analysis, and individuals interested in learning how to use Predict to support their student success work.

  • Wednesday, May 3, 2023 | 1:00 p.m. – 2:00 p.m. Eastern Time

Experts associated with this event

EAB Experts

Lily Brennan

Lily Brennan

Strategic Leader, Data and Analytics

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James Cousins

James Cousins

Senior Strategic Leader, Data and Analytics

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