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Deep Dive: Predicting Student GPA

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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

Lily Brennan is a Strategic Leader of Data and Analytics at EAB. She specializes in training and supporting partners using the Rapid Insight products. Lily enjoys training and supporting users of all skill levels and backgrounds. When working with partners, she always has a goal in mind -to help citizen data scientists connect with their data and create actionable results in the Higher Education.

Prior to EAB, Lily was a member of the Support Team at Rapid Insight which merged with EAB in the fall of 2021. Recently, Lily has been working with partners to build customized dashboards for student Enrollment and Retention. She enjoys the creative elements of these projects and building relationships with partners. In her spare time, Lily enjoys skiing, reading, puzzles, yoga, and trips to the dog park with her Redtick Coonhound, Ginger.

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James Cousins

James Cousins

Senior Strategic Leader, Data and Analytics

James works directly with organizations bringing data to bear in decision-making, building analytic capacity along the way. His work has involved hundreds of organizations-from single person departments to teams of more than ten. Leveraging a background in statistics and data analysis, James advocates for accessibility of analysis and data literacy. In order to ensure that data-informed insights are actionable, approachable presentation and communication lie at the heart of everything he does, which is how all data work should be! At EAB, James focuses on generating impactful value with partners via Edify and Rapid Insight.

In his spare time, James volunteers at his local library in Conway, New Hampshire. He also enjoys woodworking, reading, trail-running, and correspondence (letter-writing).

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