Institutions have begun analyzing demographic and performance data to predict whether a student will enroll at an institution, stay on track in her courses, or require support so that she does not fall behind. Using data in this way is known as predictive analytics. It is crucial for institutions to use predictive analytics ethically. Without ethical practices, student data could be used to curtail academic success rather than help ensure it. Here are five guiding practices for ethical use of predictive analytics in higher education
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