Institutions are increasingly turning to predictive analytics to help determine if students will enroll, and if so, whether or not they'll need support to stay on track for graduation. But this data use begs the question--are decision-makers using the data ethically?

The pressure to recruit and retain students grows daily in higher education, where institutions strive to ensure students earn diplomas.

Predictive analytics--analyzing past student data to predict various things about current and prospective students--can help institutions meed enrollment and financial goals, according to a new policy paper from New America. Because without ethical practices, the use of student data...

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About the Author:

Laura Ascione

Laura Ascione is the Managing Editor, Content Services at eSchool Media. She is a graduate of the University of Maryland's prestigious Philip Merrill College of Journalism. When she isn't wrangling her two children, Laura enjoys running, photography, home improvement, and rooting for the Terps. Find Laura on Twitter: @eSN_Laura http://twitter.com/eSN_Laura