The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
How can AI help administrators write Marzano teacher evaluations?
by: Anthony D. Neely, Ph.D.Published on: 09/08/2026The Marzano Focused Teacher Evaluation Model uses four domains and 23 elements, scored Not Using to Innovating on the effect instruction has on student evidence. Where AI helps with the write-up, where it doesn't, and what to look for.
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 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.
