How can AI help Maine evaluators write teacher evaluations under PEPG?
How can AI help Maine evaluators write teacher evaluations under PEPG?
Maine is a local-control state, and its teacher evaluation reflects that. There is no single statewide rubric. Instead, every district builds its own Performance Evaluation and Professional Growth (PEPG) system under Rule Chapter 180, chooses its own professional practice model, and gets that system approved by the Maine DOE and adopted by its school board. So the honest answer about AI is shaped by that structure: AI can genuinely help with the professional-practice write-up — mapping observation evidence to the standards of whatever model your district adopted and drafting feedback in that model's language — but it can't pick your district's model, calculate your summative effectiveness rating, or decide what measures your local system uses. This post walks through where AI helps with Maine PEPG, where it doesn't, and what to look for.
What PEPG actually is
Maine's educator evaluation traces to LD 1858, "An Act to Ensure Effective Teaching and School Leadership" (2012), which became Chapter 508 of Title 20-A of the Maine Revised Statutes. Rule Chapter 180 implements it, setting the standards and procedures for Performance Evaluation and Professional Growth (PEPG) systems. The teacher version is sometimes called T-PEPG.
The defining feature is local development. Each school administrative unit (SAU) builds its PEPG system through a steering committee — a majority of whom are teachers chosen by the local collective bargaining unit. The system is submitted to the Maine DOE for approval and adopted by the school board. The state provides a State Model T-PEPG that districts may adopt in whole, adapt in part, or use as a guide, but districts are free to design their own as long as it meets Chapter 180 and aligns to Maine's professional practice standards.
That local-control design is why a Maine evaluator's first question — and any honest vendor's first question — should be: which model does your district actually use?
The models Maine districts choose
A Maine PEPG system evaluates professional practice with a model aligned to Maine's professional practice standards, which are built on the InTASC standards. Districts choose from established models or submit another for Maine DOE approval with evidence of InTASC alignment. The ones that show up most across Maine districts:
The Framework for Teaching (Danielson) — four domains spanning planning and preparation, the classroom environment, instruction, and professional responsibilities. One of the most widely adopted models in the state.
Marzano — the Marzano teacher evaluation model, an approved professional practice model for Maine PEPG systems.
Kim Marshall Teacher Evaluation Rubrics — approved for use as the professional practice element in Maine, and the basis for locally derived versions such as the MSAD 49 rubric.
Maine's State Model T-PEPG — built by the Maine Schools for Excellence (MSFE) on the National Board (NBPTS) core propositions, available for districts that want a ready-made, Chapter 180-compliant system.
Because the professional practice model varies district to district, the same observation notes need to land in different rubric language depending on where a teacher works. That's exactly the kind of translation an AI drafting tool can take on — provided it actually knows the model in question rather than guessing.
Maine's four rating categories
However a district builds its system, Rule Chapter 180 requires the result to place each educator into one of four statewide summative effectiveness rating categories: Highly Effective, Effective, Partially Effective, and Ineffective. The category names are set at the state level; how measures combine to reach a placement is decided locally. Full evaluations resulting in a summative rating happen on the district's schedule, within Chapter 180's requirement of at least once every three years.
The change that matters most right now: student growth is no longer required
If you're working from older Maine guidance, this is the thing to update. The original Chapter 180 required student learning and growth measures as a significant factor in every educator's summative rating. That mandate is gone.
Maine law PL 2019, Chapter 27 removed the requirement that student learning and growth be used in summative effectiveness ratings, effective September 1, 2021. Under current law, districts may choose to include growth measures they find valuable, but they are no longer required to. Some Maine districts still use them; many have moved away from them. For an evaluator, the practical effect is that the professional-practice observation has become an even larger share of what the evaluation actually documents — and for a vendor, it's a reason not to assume growth measures are baked into a Maine system.
After the observation: where the work piles up
The observation itself is familiar work for an experienced Maine evaluator. The write-up that follows is where the hours go: taking fragmentary observation notes and organizing them as evidence against the standards of your district's model, settling on a defensible rating for each, and drafting feedback a teacher can act on — then doing it again across a caseload. With student growth optional, that professional-practice documentation is often the heart of the whole evaluation.
Where AI helps with the Maine write-up
The strongest fit between current AI and PEPG work is the professional-practice documentation, and it applies cleanly regardless of which model your district chose.
AI handles three parts of that reliably. First, it turns fragmentary notes into coherent, evidence-anchored prose in the model's language — the difference between "kids explained their reasoning to each other" and a sentence tied to the specific standard your rubric uses for engaging students in learning. Second, it maps evidence to the right standard within your adopted model, including evidence that supports more than one. Third, it holds consistency across a caseload, so the same quality of evidence lands in similar territory from teacher to teacher rather than drifting with the hour of the night.
For Maine specifically, the value is that the tool works in your model's language rather than flattening everything into a generic "good teaching" gradient — which matters more here than in states with one prescribed rubric, precisely because Maine has none.
Where AI doesn't help — and what stays with the evaluator
The honest scope follows directly from how Maine built PEPG.
AI cannot pick your district's model or tell you which one you're on. That's a local decision made by your steering committee and approved by the DOE and your board.
AI cannot calculate your summative effectiveness rating. Tools like EvalScribe draft the professional-practice piece; how your district combines measures to place an educator into one of the four categories is set by its approved PEPG system and happens there.
AI cannot decide your measures. Whether your district includes student growth, and how it weighs professional practice, is a local policy question a drafting tool has no business answering.
AI cannot supply an evaluator's professional and local judgment — what the evidence really shows, how a teacher's year unfolded, how a rating fits the district's context. That stays with the evaluator, who remains the last set of eyes on every rating and comment.
And general-purpose AI in particular tends to assume a single statewide rubric that Maine doesn't have, or to treat student growth as required when it no longer is. For a document that informs employment decisions, those wrong assumptions are the kind that surface at the worst possible moment.
What to look for in an AI tool for Maine PEPG
A few questions worth asking before committing a tool to this work.
Does the tool actually support your district's adopted model — Danielson, Marzano, Marshall, the State Model, or whatever your SAU approved — or does it produce generic language that fits none of them precisely?
Does it stay in its lane, drafting professional practice and leaving the summative combination to your PEPG system, rather than pretending to compute a rating it has no basis for?
Does it avoid baking in assumptions Maine has moved past, like a mandatory student-growth component?
Where does your observation data live? Is it stored on the vendor's servers, or used to train models?
How EvalScribe handles Maine PEPG
EvalScribe ships the professional practice models Maine districts commonly adopt — Danielson, Marzano, the Kim Marshall rubrics, and more. Tell it which model your district uses, and it drafts the professional-practice write-up in that model's language: an evaluator captures notes by typing, dictating, or photographing handwriting (Smart Scan OCR converts it to text), EvalScribe maps that evidence to the relevant standard, and drafts a rating and evidence-anchored feedback you review and finalize. Because it fits your adopted model rather than forcing a generic rubric onto it, the write-up stays defensible and traceable.
Two scope notes, because Maine's structure calls for them. First, EvalScribe drafts the professional-practice piece; the summative effectiveness rating — how your district combines measures to place an educator into one of the four categories (Highly Effective, Effective, Partially Effective, Ineffective) — is determined by your SAU's approved PEPG system, not the app. Second, if your district includes student learning and growth measures by local choice, those are handled within your PEPG system, not by EvalScribe. Confirm your district's adopted model and rating method.
Beta testers report saving 30 to 60 minutes per evaluation versus writing the documentation by hand. Across a full caseload and multiple observation cycles, that adds up to dozens of hours back — hours that can go to the feedback conversation the ratings are meant to support. More detail on the Maine workflow is available at evalscribe.com/maine.
Frequently asked questions about Maine PEPG and AI
Does Maine have a single statewide teacher evaluation rubric? No. Each district develops its own PEPG system under Rule Chapter 180 and chooses its own professional practice model. The state offers a State Model T-PEPG, but districts aren't required to use it.
Is student growth required in Maine teacher evaluations? No — not since September 1, 2021, when PL 2019, Chapter 27 removed the mandate. Districts may include growth measures by choice, but they're no longer required.
What are Maine's rating categories? Rule Chapter 180 sets four statewide summative effectiveness rating categories: Highly Effective, Effective, Partially Effective, and Ineffective.
Which model does EvalScribe support for Maine? It ships the models Maine districts commonly adopt — Danielson, Marzano, the Kim Marshall rubrics, and more. If you're unsure yours is covered, contact the team and we'll confirm.
Does EvalScribe calculate my summative rating? No. It drafts the professional-practice piece; the summative combination happens in your district's approved PEPG system.
Does AI replace evaluator judgment? No. The observation, the ratings, and the professional judgment are yours. AI translates your judgment into model-aligned documentation.
If you're evaluating teachers in Maine under PEPG, see how EvalScribe drafts in your district's adopted model at evalscribe.com/maine. Questions, or a school or district license? Reach the team at [email protected].
References
Maine Department of Education, Educator Effectiveness (State Model T-PEPG; the 2019 removal of the student growth mandate, effective September 1, 2021)
Code of Maine Rules, 05-071 Chapter 180 — Performance Evaluation and Professional Growth Systems (implements Chapter 508 of Title 20-A)
Maine Legislature, PL 2019, Chapter 27 — An Act to Amend Educator Evaluation Requirements
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Page maintained by Anthony D. Neely, Ph.D. — practicing K-12 educator with nearly 20 years in the classroom, 2025–2026 Walker County Distinguished Teacher of the Year, and co-founder of EvalScribe. Framework details verified against the Maine Department of Education's Educator Effectiveness resources and Rule Chapter 180.
Last updated on July 28, 2026.
