Data-Informed Recruitment and Enrollment
Moving beyond high school GPA and standardized test scores, you will want to look for predictors of student success and affinity for your institution by analyzing data on your past and current students at each stage of their relationship with your institution. Identify shared characteristics of those students who model behaviors you want to encourage. Look for shared characteristics among: Prospects who apply (versus prospects who don’t) Admits who enroll Students who take leadership roles Students who perform high academically Students who persist into the second year Students who graduate within a certain time range Students who stay engaged with the institution after graduation and take leadership roles in the alumni community Once you know the characteristics of your current, most successful students, these characteristics become additional attributes that you can identify in your recruiting process. Suppose that your data indicates that a significant percentage of the students who show high academic performance and persistence in your engineering program took calculus prior to entering it—and you find that many of these are transfer students who completed calculus while enrolled at a local community college. With this knowledge, you can look to your applicant pool and identify applicants who have taken […]