Predictive analytics--using massive amounts of historical data to predict future events--is a practice that’s making it easier and faster for colleges to decide which students to enroll and how to get them to graduation. But using data in this way may make decision-making processes harder, not easier. That’s because predictive analytics can aid in discriminatory practices, make institutional practices less transparent, and make vulnerable individuals’ data privacy and security. The report looks at how predictive analytics are used in higher education to identify students who need extra support, steer students in courses they will do well in, and provide digital tools that can customize the learning process for individual students.Explore
On the Verge
Financial costs and challenges go well beyond tuition for lower income students who want to stay in school and succeed.