Using Student Data and Predictive Analytics to Boost Retention
Date:
Thursday, August 13, 2015
Time:
2:00 pm EST
REGISTER TODAY
Colleges and universities are under intense pressure to boost retention and completion rates, and national research has shown that students who are highly engaged on campus are more apt to graduate. By using student data and predictive analytics effectively, institutions can improve retention rates by identifying students needing early intervention and proactively helping them succeed.
Attend this web seminar to learn how Ball State University is utilizing student survey and behavioral data along with predictive analytics to help identify at-risk or struggling students, and tailoring retention efforts to be customized for each student. Leaders from Ball State will discuss how to develop successful retention strategies, ways to use predictive analytics effectively and other tools to drive student success at any institution.
Topics will include:
- Using predictive analytics to identify struggling students
- Keys to developing retention and student success strategies
- A brief overview of the Rapid Insight Predictive Analytics Platform
Speakers:
Kay Bales, Vice President of Student Affairs and Dean of Students, Ball State University
Jon MacMillan, Senior Statistical Analyst, Rapid Insight Inc.
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Sponsored by
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Who will benefit:
College and university administrators interested in enrollment, retention, analytics and student success. 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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