This article explores the challenges that students face in navigating the curricular structure of post–secondary degree programs, and how predictive analytics and choice architecture can play a role. It examines Degree Compass, a course recommendation system that successfully pairs current students with the courses that best fit their talents and program of study for upcoming semesters. Data are presented to demonstrate the impact that this system has had on student success. In particular the data will show that by closing the information gap, this system is able to close the educational achievement gap for low–income and minority students.
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