How can colleges use predictive algorithms equitably? A conversation with Dr. Denisa Gándara
IHEP Institute for Higher Education Policy
SEPTEMBER 13, 2024
New research reveals that algorithms commonly used by institutions to predict student success may be racially biased against Black and Latinx students. When a model predicts that Black or Latinx students are more likely to fail, how users interpret that information depends on their racial consciousness and data literacy.
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