AI Tools for TKES Teacher Evaluations: What Georgia Admins Should Know

If you're a Georgia administrator wondering whether AI can help with TKES evaluations, here's the honest answer: yes, but for one specific part of the process. AI can take your raw classroom observation notes and turn them into formal, TAPS-aligned write-ups — the documentation step that eats your evenings. It does not replace your judgment as the evaluator, it does not touch the Student Growth or survey components, and it is not a shortcut around the process the state requires. Used well, it gives you back the time you currently spend translating what you saw in a classroom into standards-aligned language across ten performance standards, for every teacher, several times a year. This post walks through where AI genuinely helps with TKES, where general tools fall short, and what to look for if you're considering one.

A quick refresher on what TKES actually asks of you

The Teacher Keys Effectiveness System has three components, and they feed into a single overall Teacher Effectiveness Measure. There's Student Growth and Academic Achievement. There are the Surveys of Instructional Practice. And there's the Teacher Assessment on Performance Standards — TAPS — which is the part that involves observation.

TAPS is where most of an administrator's actual labor lives. It's built on five domains and ten performance standards, each with performance indicators underneath, and each scored on a rubric from zero to three. Those ten standard scores sum into an overall TAPS rating, which carries real weight in a teacher's evaluation.

Here's the thing every Georgia admin already knows in their bones: the walkthrough isn't the hard part. Most administrators who do this work actually like being in classrooms. The hard part is what comes after — sitting down with a page of scribbled observation notes and translating them into formal, defensible, rubric-aligned documentation across all ten standards. Do that for forty teachers, several times a year, and you understand exactly where your fall and spring evenings went.

That translation step — observation to documentation — is the one place AI can legitimately help.

Where AI genuinely helps in the TKES workflow

The honest, useful application of AI here is narrow and specific: you provide what you observed, and the tool helps produce TAPS-aligned narrative language and a rubric-informed rationale for the scoring you assign.

That's not hype. It's addressing the actual bottleneck. The cognitive work of observing a classroom and forming a professional judgment is yours and stays yours. What AI can take off your plate is the time-consuming work of rendering that judgment into the formal language the documentation requires — aligned to the right standards, in the register an official evaluation expects.

The math is what makes it matter. A single reworded evaluation might save you half an hour. Multiply that across a full faculty and multiple observation cycles, and you're looking at meaningful hours back over a year. Those are hours you can spend in classrooms, coaching teachers, and doing the parts of instructional leadership that actually move the needle — instead of reformatting prose at your kitchen table.

This is worth saying plainly, because a lot of educators carry guilt about it: using AI to handle the documentation translation is not cutting a corner. It's the right tool for a genuinely time-consuming task, freeing you to be present for the parts of the job that need a human. The job is still hard. The standards still matter. The tool just handles the part that was never really about your expertise as an evaluator.

Where general generative AI breaks down for TKES

Here's where it gets complicated. Most administrators who try this reach for a general tool — ChatGPT, Claude, Gemini — because they're free, familiar, and right there. They can produce competent-sounding evaluation language. But for TKES specifically, three problems show up fast.

The tool doesn't know TKES. A general AI platform has no built-in understanding of the five TAPS domains, the ten standards, or the zero-to-three rubric bands. To get aligned output, you have to feed all of that in — the standards, the rubric language, the scoring criteria — every single time, for every evaluation. The setup work you're trying to escape just moves to the front of the process.

The scoring isn't consistent. This is the one that should concern you most. A general tool's output varies with the wording of your prompt, the day, and the model version. Two administrators evaluating similar lessons, or the same administrator on two different days, can land on different scores and different language. In a casual document that wouldn't matter. But TAPS scores feed an official rating that carries contract weight. Inconsistency across admins or across teachers isn't a quirk — it's a defensibility problem waiting to surface in a personnel conversation.

Most of TKES is out of scope anyway. No AI writing tool is going to handle your Student Growth measures or run your Surveys of Instructional Practice. Any tool that implies it does all of TKES is overpromising. AI's legitimate lane is the TAPS documentation piece — and it's worth being clear-eyed that this is one component of a larger system.

There's also a quieter question worth raising: where does your teacher observation data go? When you paste classroom observations into a consumer-tier general AI tool, it's worth knowing whether that data is being retained or used to train future models. Policies differ by tool and they change over time, so the honest advice is to check the current data policy of whatever platform you're using before you put personnel-adjacent information into it.

If those limitations sound like dealbreakers, they're exactly why purpose-built tools exist. I wrote a fuller comparison of purpose-built versus general AI for teacher evaluations on the EvalScribe blog if you want to go deeper on that distinction.

What to look for in an AI tool for TKES

Whether you end up using EvalScribe or anything else, these are the questions worth asking before you commit to a tool for this work.

Is TKES actually built in, or do you have to paste the standards in yourself? If you're providing the framework every time, the workflow is fragile — people grab the wrong version, skip a domain, or miss an update.

Does it map your observations to the correct TAPS domains automatically, or do you have to guide that alignment by hand?

Is the rubric scoring consistent across administrators? If two of your admins run a similar observation through the tool and get meaningfully different results, the tool isn't solving the consistency problem that matters most for defensibility.

Where does your observation data live? Is it stored on the vendor's servers? Is it used to train a model? For anything touching teacher personnel data, this isn't a small question.

Can your administrators use it on day one, or does it require a training workshop and a learning curve before it's useful?

How EvalScribe fits

EvalScribe is built for exactly the part of TKES we've been talking about — the TAPS observation-to-documentation step.

TKES was, in fact, the first framework I built into EvalScribe and the first one I piloted. I'm a Georgia teacher. TKES is the system I live in, so it's the one I started with. The five domains and ten standards are built into the tool. It maps your observation notes to the correct TAPS domains automatically, applies consistent rubric-aware scoring, and produces formal, evaluation-ready language — without you pasting in a single standard or engineering a single prompt.

On the data question from earlier: EvalScribe runs on Microsoft Azure with no data storage on our end. Your teachers' observations don't sit on our servers.

And to be straight about scope, since trust matters more than reach here: EvalScribe handles the TAPS documentation translation. It doesn't run your Surveys of Instructional Practice or calculate your Student Growth measures. It does the one thing that was eating your evenings, and it does it well.

What that looks like in practice: some administrators report completing an entire evaluation in under five minutes. Compared to writing one the traditional way, beta testers report saving thirty to sixty minutes per evaluation. Across a full faculty and multiple observation cycles, that adds up to your fall and spring looking very different.

The simplest next step

I built this because administrators who love being in classrooms shouldn't have to dread the paperwork that follows — and because the teachers on the other end of these evaluations deserve thoughtful, framework-aligned feedback, not whatever fell out of a rushed Sunday-night session.

If you want to see whether it fits how you work, an individual administrator license is $100 a year - with discounts for school or district wide licenses. That's deliberately set below most districts' procurement threshold, which means you don't need a committee, a purchase order, or a six-week approval cycle to try it. You can decide for yourself.

If you have questions, or you'd like to talk about a school or district license, reach me at [email protected].

FAQ

Can I use ChatGPT to write TKES evaluations? You can, but the tool doesn't know TKES — you'll need to provide the five domains, ten standards, and rubric bands every time, and the scoring will vary depending on how you prompt it. For a document that carries contract weight, that inconsistency is worth thinking carefully about.

Does AI replace the evaluator in TKES? No. The observation, the professional judgment, and the scoring decisions are yours. AI's legitimate role is helping translate your judgment into formal, standards-aligned documentation — not making the evaluation for you.

What part of TKES can AI actually help with? The TAPS documentation step — turning your raw observation notes into formal, standards-aligned write-ups. AI tools don't handle the Surveys of Instructional Practice or the Student Growth and Academic Achievement components.

Is AI-generated TAPS documentation defensible? It depends on the tool. Consistent, framework-aligned output from a purpose-built tool holds up better than output that varies by prompt wording. Consistency across administrators and across teachers is what makes documentation defensible.

Does EvalScribe support TKES? Yes. TKES was the first framework built into EvalScribe and the first one piloted. The five domains and ten TAPS standards are built in, with automatic domain mapping and consistent rubric-aware scoring.

How much time does it save on TKES evaluations? Some administrators report completing an entire evaluation in under five minutes. Compared to writing them traditionally, beta testers report saving thirty to sixty minutes per evaluation.

Is my teacher observation data safe? EvalScribe runs on Microsoft Azure with no data storage on our end — your observations don't sit on our servers. For any general AI tool, check the current data policy before entering personnel-related information.