What AI teacher evaluation software is and what it should and shouldn't do: how it drafts rubric-aligned write-ups in minutes while the evaluator keeps the judgment, the privacy and defensibility questions to ask, and how to choose the right tool.
What school leaders need to know about AI in teacher evaluation: the one line the law, unions, and federal guidance all draw, the Illinois law, the risks to manage, a district decision framework, questions to vet any tool, and sample policy language.
AI can cut a teacher evaluation in half, but which half? The watching (human judgment) must stay human; the writing (rubric translation) is what AI can safely do. Why that line is the whole question, and why the write-up tool you pick still matters.
General AI like ChatGPT can draft evaluation language, but every write-up means pasting standards, prompting, and editing. How a purpose-built teacher evaluation tool compares on alignment, consistency, speed, and defensibility.