Community College Utilizes Predictive Modeling to Enhance Student Success

Community College Utilizes Predictive Modeling to Enhance Student Success1024px-Bunker_Hill_Community_College_logo.svg

Bunker Hill Community College is dedicated to innovating and refining student success strategies reflected in the role of an Achieving the Dream Leader College.

With such a strong focus on student success within in its curriculum, academic pathways, and student success strategies, BHCC looked to predictive modeling to further enhance retention and other data-driven efforts supporting these innovations. Community colleges often see a rise in enrollment during a recession. In recent years BHCC has seen an explosive growth in student enrollment. Now, they want to take additional measures focused on student retention because, as they know through national trends, the student enrollment growth would not last as the economic recession conditions improved. BHCC continues to utilize data to examine their strategies to their fullest potential and to further inform student success and proactive interventions.

“Being able to identify the inter-workings and impacts of our strongest strategies by using data to inform where we can do better to support student success was the main appeal of why we looked at Rapid Insight as a predictive modeling tool. Plus, the ease of use, the training, and support that we have had as part of the process has been excellent,” noted Karalynn Gau, Director of Research Strategy & Applied Veera Predict in the Office of Institutional Effectiveness at Bunker Hill Community College.

Since enhancing their student success strategies as part of college community’s work, BHCC has seen a percentage point or two increase in college-wide fall retention year-to-year for the past seven years. They want to keep building on that success by inquiring into how they can use data to further conversations integrating student success supports into the curriculum.Gau expanded on how the institution has truly taken advantage of the attrition model they ran. Since then, they have been able to focus specific resources on students who are more likely to leave the school by intervening with proactive conversations. BHCC gathered a group of 20 callers to utilize data out of the fall-to-spring retention model. Almost 600 phone calls were made. “Being able to say we have 5,000 students left to reregister and here are 600 that we are going to target for re-enrollment based on predictive analytics was really helpful for us,” confirmed Gau. “Being able to be more proactive with strategies based on data and triaging resources accordingly has been really helpful as well.”



Or learn more by attending our webinar:

Bunker Hill Community College: Achieving the Dream of Student Success with Predictive Analytics
Tuesday April 5th, 2:00 PM ET