AI RESEARCH
Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions
arXiv CS.LG
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ArXi:2004.10846v5 Announce Type: replace-cross Problem definition: Traditionally, New York City's top 8 public schools have selected candidates solely based on their scores in the Specialized High School Admissions Test (SHSAT). These scores are known to be impacted by socioeconomic status of students and test preparation received in middle schools, leading to a massive filtering effect in the education pipeline. The classical mechanisms for assigning students to schools do not naturally address problems like school segregation and class diversity, which have worsened over the years.