The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
AI for New Hampshire Teacher Evaluations: Local Control, Danielson, and Where AI Helps
by: Anthony D. Neely, Ph.D.Published on: 02/08/2026How New Hampshire teacher evaluation works: HB 142 local control, why Danielson is the common instrument, multiple measures, and the three teacher tracks, plus where AI helps with the write-up and where the judgment stays with the evaluator.
AI for Montana Teacher Evaluations
by: Anthony D. Neely, Ph.D.Published on: 02/08/2026How Montana teacher evaluation works now: local control under the accreditation rules, the optional Montana-EPAS model (Danielson four domains, four rating levels), the three ways to comply, and where AI helps with the write-up.
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.
