What if enrollment algorithms only find a student’s willingness to pay, not succeed?

What if some enrollment algorithms only find a student’s willingness to pay, not succeed?

Reported by Inside Higher Ed, enrollment algorithms are only as powerful as what they’re optimized for. Tuition-driven institutions have an incentive to optimize for finding students who can pay. But in that situation, they might drive enrollment, while also driving students unable to academically persist.

The takeaway? What are the ethics of using enrollment predictors to determine admissions and/or need-based aid? And are we sure our algorithms are optimizing for the right thing in long-term student success?

May you continue to fight the good enrollment growth fight at your institution today, and we’ll see you again tomorrow.

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Eric Olsen

Eric brings more than a decade of award-winning creative brand development, marketing analytics and higher education experience to Helix Education. Eric is a graduate of Bradley University and earned his MBA at Lewis University.