The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
AI Teacher Evaluation Software, Explained
by: Anthony D. Neely, Ph.D.Published on: 23/09/2026What 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.
AI in Teacher Evaluations: The Line Between Watching and Writing
by: Anthony D. Neely, Ph.D.Published on: 22/07/2026AI 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.
AI for Arizona Teacher Evaluations: No Single Framework, Which Danielson, and Where AI Helps
by: Anthony D. Neely, Ph.D.Published on: 20/07/2026How Arizona teacher evaluation works: local control (no single state framework), what the state still requires, and which Danielson edition and scale your district uses, plus where AI helps with the write-up and where judgment stays human.
How can AI help West Virginia evaluators write teacher observations under Policy 5310?
by: Anthony D. Neely, Ph.D.Published on: 17/07/2026West Virginia's Distinguished is not Danielson's Distinguished. The seven standards, the sixteen elements, why Accomplished is the expected norm, and the honest scope of where AI, such as EvalScribe, helps a WV evaluator's write-up.
