Study: Algorithms used by universities to predict student success may be racially biased
Predictive algorithms commonly used by colleges and universities to determine whether students will be successful may be racially biased against Black and Hispanic students, according to new research published today in AERA Open. The study—conducted by Denisa Gándara (University of Texas at Austin), Hadis Anahideh (University of Illinois Chicago), Matthew Ison (Northern Illinois University), and