ESSA subgroup reporting is generated continuously from operational data rather than compiled annually. Student data is not used to train general-purpose AI models, the district retains ownership, and full export is available at any time including at termination.
Reporting
- ESSA reporting — achievement, growth, graduation, English learner progress and school quality indicators, disaggregated by subgroup and available year-round rather than in a summer export.
Privacy
- FERPA & student data privacy — school official status, field-level role scoping, audit logging, retention configuration, COPPA consent workflows, state data privacy agreements, and the specific contractual position on AI model training.
The question worth asking first
A vendor that talks only about FERPA has described the least restrictive layer. State student privacy statutes are frequently more demanding, and many states and consortia maintain a standard data privacy agreement they expect vendors to sign without amendment. Ask about that agreement before you ask about features — it filters more vendors than any other single question.
Related
AI in education sets out an adoption sequence that survives a privacy review. Choosing school software lists the privacy questions to put to any vendor, including this one.