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AI-Assisted Teacher and Principal Performance Scoring

Accountable

NYC Public Schools (NYCPS)

Functional Modes

Deciding (Analytical AI)

Human decides

Purpose

Employment & Work

Input Dataset

Operational data Anonymized data

Algorithm or Model

Classification & Prediction

Output Dataset

Sensitive personal information Pseudonymous data

Details

This system calculates annual performance ratings for New York City public school teachers and principals by weight-averaging rubric scores collected during classroom observations. The resulting score is combined with student learning measures to produce an Overall Rating that state law requires be used as a significant factor in employment, tenure, and salary decisions. All inputs are numerical rubric scores; no personally identifying information is reported as collected or disclosed by the system itself.