Why “One Size Does Not Fit All” in Student Risk Prediction and Retention Strategies
Date:
Thursday, December 4, 2014
Time:
2:00 pm EST
REGISTER TODAY
The goal of retaining students—and seeing them through to degree completion—has become the focus of numerous research initiatives, articles, technology solutions and intervention strategies. While most of the studies reach very different conclusions, most researchers seem to agree that no one factor holds the key to student persistence. How can higher education leaders accurately predict attrition risk, using the same factors and weightings across all student cohorts and across a wide range of types of institutions? The reality is we cannot.
Attend this web seminar to learn about the factors that should be considered when predicting risk for different types of institutions—and distinct student subgroups within each institution—and how continual monitoring and annual adjustments to the algorithms can have a positive impact on student retention rates. A leader from Murray State University will also outline how the institution has increased its retention rate over the past three years by using a student retention system using predictive analytics. .
Speakers:
James Mantooth, Director of Retention Services, MAP-Works Campus Coordinator, Murray State University
Sherry Woosley, Director of Analytics and Research, EBI MAP-Works
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Sponsored by
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Who will benefit:
Higher education leaders who are responsible for increasing the levels of student success and retention at their institutions. Anyone may attend.
Continuing Education Certification:
All attendees of this live web seminar will receive confirmation of their participation, which may be used for purposes of CEU certification where applicable.
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