The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
Danielson vs. Marzano: A Side-by-Side Comparison of the Two Biggest Teacher Evaluation Frameworks
by: Anthony D. Neely, Ph.D.Published on: 12/08/2026Danielson vs. Marzano compared: domains, rating scales, philosophy, and which districts use each — the two frameworks behind most U.S. teacher evaluations.
AI for New Jersey Teacher Evaluations: How AchieveNJ Works, and Where AI Helps
by: Anthony D. Neely, Ph.D.Published on: 02/08/2026How New Jersey's AchieveNJ teacher evaluation works: the component weights (teacher practice, SGOs, mSGP), the four rating tiers, the approved instruments, and the observation cycle, plus where AI helps and where judgment stays human.
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 Idaho Teacher Evaluations
by: Anthony D. Neely, Ph.D.Published on: 02/08/2026How Idaho teacher evaluation works now: the Danielson framework (four domains), professional practice as the majority plus a required student-achievement measure, the rating levels, and where AI helps with the write-up.
