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.
The Documentation That Holds Up: Building a Teacher-Evaluation Record That Survives a Challenge
by: Anthony D. Neely, Ph.D.Published on: 25/08/2026What makes a teacher-evaluation record survive a grievance, non-renewal, or due-process hearing: factual documentation, a real improvement plan, notice and time to improve, plus templates and checklists.
Illinois Just Drew the Line on AI in Teacher Evaluations — and Left the Paperwork On the Right Side of It
by: Anthony D. Neely, Ph.D.Published on: 23/07/2026Illinois SB 2909 (Public Act 104-0565) is the first US law on AI in teacher evaluation. What it actually says: AI can't assign the score or rating, but may support the administrative write-up. Teachers are covered too. Effective Jan 1, 2027.
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.
