The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
The Stronge Teacher Evaluation System, Explained
by: Anthony D. Neely, Ph.D.Published on: 18/09/2026What the Stronge teacher evaluation system is, in plain English: the seven performance standards, the four-level rating scale, how indicators differ from the rubric, and how student academic progress is weighted and scored.
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 Colorado Teacher Evaluations: The State Model, the 70/30 Split, and Where AI Helps
by: Anthony D. Neely, Ph.D.Published on: 02/08/2026How Colorado teacher evaluation works now: the State Model, the four Teacher Quality Standards, the 70/30 split (practice vs. student learning), and the four rating levels, plus where AI helps with the write-up and where judgment stays human.
How can AI help Maine evaluators write teacher evaluations under PEPG?
by: Anthony D. Neely, Ph.D.Published on: 30/07/2026Maine evaluates teachers through locally developed PEPG systems under Rule Chapter 180 — no single statewide rubric. Where AI helps with the professional-practice write-up, where it doesn't, and why student growth is no longer required.
