The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
AI for Washington Teacher Evaluations (TPEP): The State 8, the Frameworks, and Where AI Helps
by: Anthony D. Neely, Ph.D.Published on: 07/08/2026How Washington's TPEP works: the State 8, the three approved frameworks, four levels, comprehensive vs. focused cycles, and where AI helps.
AI for South Dakota Teacher Evaluations (SD Framework for Teaching): The Two Components, the Ratings, and Where AI Helps
by: Anthony D. Neely, Ph.D.Published on: 06/08/2026How South Dakota teacher evaluation works now: the SD Framework for Teaching (Danielson-based), the two required components (professional practice and student growth via SLOs), the rating scales, and where AI helps with the write-up.
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.
