The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
AI for Rhode Island Teacher Evaluations (RI Model)
by: Anthony D. Neely, Ph.D.Published on: 06/08/2026How the Rhode Island Model teacher evaluation works now: the three components (Professional Practice 50%, Professional Foundations 20%, Student Learning via SLOs 30%), the four ratings, and where AI helps with the write-up.
AI for Nevada Teacher Evaluations (NEPF)
by: Anthony D. Neely, Ph.D.Published on: 02/08/2026How Nevada teacher evaluation works now: the NEPF weighting (65/20/15), the two five-standard practice components, the new Educational Growth Goals (SB 460), the four rating levels, 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.
