Predictive Analytics

Leveraging Data to Enhance Enrollment and Student Success

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What You'll Learn

In the last half-decade, JCCC pursued implementing cutting-edge predictive analytics to enhance student success. This presentation delves into scientific methods and models meticulously crafted, unearthing invaluable insights into student outcomes. These insights played a pivotal role in informing decisions regarding enrollment, advising, and other critical support services. Additionally, we will delve into ongoing initiatives and future aspirations to drive further advancements.

This session will provide both the methodology and application of predictive analytics. It will…

  • Demonstrate the value for senior executives to invest institutional time and resources into exploring this type of work.
  • Provide the basic methodology for cross-functional research teams to replicate similar types of models.
  • Illustrate application examples for student success practitioners to use in daily operations.

Presenters

John Clayton

Executive Director for Institutional Effectiveness, Planning and Research
Johnson County Community College

Alex Wells

Assistant Dean, Counseling & New Student Retention
Johnson County Community College

Pete Belk

Director of Recruitment Enrollment Strategy
Johnson County Community College

Connor Nyberg

Manager Senior Business Analyst
Johnson County Community College

"We want to provide data to faculty members, departments chairs, and Deans in almost a real-time manner so they can identify trends and look and see how their program needs to improve."
John Clayton
Executive Director for Institutional Effectiveness, Planning and Research
Johnson County Community College