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AI-Assisted Educator Performance Scoring from Student Growth

What it is for

Eligibility & Public Benefits
  • Allocates seats in NYC public schools — a public benefit — across 3-K, pre-K, Gifted & Talented, middle school, and high school admissions.
Education & Learning
  • Operates the centralized admissions pipeline and school directory for NYC Public Schools.
Run by
New York City Public Schools
Where
No fixed location
Kept
Not stated by the NYC Office of Technology and Innovation.
Shared with
Me, Accountable organization, Vendor

This system uses student assessment scores and demographic data to estimate how much each student was expected to learn, then compares those predictions to actual scores to generate a growth rating for teachers and principals. That rating — the Measures of Student Learning (MOSL) — is combined with an observation-based rating to produce an annual Overall Rating for each educator. Under New York State law, this Overall Rating is a significant factor in decisions about employment, tenure, and salary.

What it is for

Eligibility & Public BenefitsEducation & Learning

NYC Public Schools' admissions matching engine. Uses the Gale–Shapley deferred-acceptance algorithm to assign students to seats across 3-K, pre-K, Gifted & Talented, middle school, and high school applications.

What it collects and what happens to it

Data taken in

Sensitive personal information
Identifiable data
  • Student biographical information (home address, poverty status, home language), academic information (course grades, state test scores), and school records (sending school). FERPA-protected.
About behaviour
Identifiable data
  • The family's ranked list of school choices, submitted via the family-facing MySchools portal.

Processing

Optimization
  • Gale–Shapley deferred-acceptance algorithm. Students and programs are tentatively matched in iterative rounds — students propose, programs accept or reject based on their priority ordering, and the algorithm terminates when every student is matched or has exhausted their listed choices. The same family of algorithms is used by the National Resident Matching Program.

What it does

Deciding (Analytical AI)
Human executes
  • The matching algorithm decides the school assignment for each applicant; schools and families then execute the resulting enrollment. Runs daily during admissions cycles under DIIT monitoring.

Outputs

A decision about you
Identifiable data
  • A binding school match per student — the seat the algorithm assigned, which feeds enrollment confirmation.

Run by

New York City Public Schools
  • Accountable agency. Operated by the Division of Instructional and Information Technology (DIIT), which is taking over the system from the vendor as the current contract winds down.

Built by

Blenderbox
  • Vendor that designed and implemented the algorithmic matching functionality under a 5-year professional-services contract; work is transitioning in-house to DIIT.

Kept for

Not stated by the NYC Office of Technology and Innovation.

Shared with

Available to me
  • Students and their families see their own application status and matched school in the family-facing MySchools portal.
Available to the accountable organization
  • NYC Public Schools accesses the data through the school-facing portal and the administrative portal.
Available to vendor
  • Blenderbox has access for the duration of its design / implementation contract; access is expected to be wound down as DIIT takes over operation.

Stored

Not stated by the NYC Office of Technology and Innovation.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the NYC Office of Technology and Innovation, not the vendor.

Your rights

  • Right to Be Informed of AI UseNYC publishes the use of an algorithmic matching system in the annual algorithmic-tools compliance report and in family-facing application materials.
  • Right to Algorithmic TransparencyA plain-language description of the Gale–Shapley deferred-acceptance procedure is published in the public algorithmic-tools compliance report and on NYC Public Schools enrollment-support pages.
  • Right to AccessFamilies have FERPA-grounded rights to access education records held by NYC Public Schools, including the data used as inputs to the match.
  • Right to Correct Your DataFamilies have FERPA-grounded rights to correct inaccurate education records held by NYC Public Schools. Corrected inputs should be re-fed into the match where eligibility windows allow.
  • Right to a Human ReviewStandard NYC Public Schools appeals processes exist for individual admissions decisions; applicants can request human review of a match outcome.

Risks and safeguards

No risks or safeguards have been published for this system yet.