DROPS

22 June 2026

FORMAT

Asynchronous

POSITION

01 / 05

SERIES

AI + Practice

WORKSHOP 01

AI and Grading and Feedback

Use AI to architect a feedback system for your year.

The practice you spend the most time on and have the least time to think about. By the end of the workshop, you have the architecture that runs feedback in your classroom for the year ahead.

01

THE CURRENT

What feedback usually does to your week.

Grading season hits and you spend an evening on a stack of papers, writing comments that explain what the student should have done, what is missing, what to consider next time. The comments are thoughtful. You hand the papers back. Within a week, the next batch shows the same patterns.

Feedback comments arriving after the writing decision has already been made don't have anywhere to land. Students read the grade, scan the comments, file the paper. Whatever you said about voice or evidence or structure stays in your handwriting in their margins.

The work this workshop addresses is designing the system that surrounds your feedback so the comments have somewhere to do their work.

REF · BUTLER, R. 1988

Students who received grades alongside comments showed less learning gain than students who received comments alone. Comments compete with their own grade.

REF · HATTIE & TIMPERLEY

Feedback's effect size on learning ranges widely. The variance lives in design, not in the act of giving feedback itself.

ASIDE

The comments aren't bad. They're orphaned.

02

THE REFRAME

Feedback as the instrument students read themselves with.

When feedback works, it teaches students to read their own writing the way you read it. The deliverable is the metacognitive instrument you hand the student, a lens they can use to see their own work for the rest of the year. The comments matter. What matters more is the system the comments are part of.

The shift this workshop builds around is feedback as reading instrument. The teacher's pedagogy is what calibrates the instrument. The pedagogy decides what is worth marking, what the marking is teaching, and how the system around the marking reinforces the lesson across the year.

That shift also reframes what AI can usefully do. AI generates fluent commentary fast, which is the wrong superpower. The output reads well at a glance, with clean syntax, plausible vocabulary, and recognizable English-teacher cadence. What it doesn't carry is your pedagogy. Hand that output to a student and you have outsourced the part that was supposed to be teaching. What AI can do instead is sit underneath your design work, holding your articulated philosophy and applying it consistently across decisions you would otherwise make piecemeal across nine months.

FIG. 1 · WHAT FEEDBACK CAN DO EXPLANATION CALIBRATION TEACHER AI Comments explain what the writing did Common. Modest effect. Comments teach the student to read their own work The reading-instrument move. POLONIUS Fluent commentary, no pedagogy inside. CENTAUR AI carries the teacher's articulated philosophy. The shift this workshop builds: from explanation to calibration, with AI on the right-hand column.

DEF · READING INSTRUMENT

A tool a reader uses to read with. In writing instruction, the move that teaches the student to read their own work the way an experienced reader does.

DEF · POLONIUS PROBLEM

Words that sound wise, instructive, parental, and don't actually move anyone. AI's default feedback voice tends toward Polonius unless something else is loaded into it.

REF · MOLLICK, E.

The centaur and the cyborg. Centaur: human leads, AI follows. Cyborg: hand-off mid-task. The reframe in Fig. 1 puts the workshop on the centaur side.

SEE ALSO

Fig. 1, lower-right. The cell this workshop is for.

03

BY AUGUST

What you walk into the year with.

You have a feedback architecture you designed yourself. You know which writing moments get which kind of attention across the year, what kind of rubric work happens where, and how the feedback system is meant to teach students to read their own writing.

You also have an AI that knows your feedback pedagogy. Not a generic assistant guessing at what you want. An assistant trained on what you value, the way you read student writing, and the standards you hold the work to. The articulation work you did in the workshop becomes context the AI carries into every conversation about feedback from then on.

NOTE

The architecture is yours. It travels with you to the next school, the next text, the next year. The AI is a tool that holds the architecture you built.

ASIDE

AI feedback is tempting. The research doesn't support every use of it in the feedback cycle.

04

INSIDE

The design work and what supports it.

You get audio that works through the pedagogy underneath feedback, where most feedback systems break down, and the reframe the rest of the workshop builds on. A structured prompt set walks you through the design work, with each prompt scaffolding a stage of the system you are building. Walkthroughs show how the pieces come together so you can see the design moves in action. You also build tools along the way that triage which student work needs which kind of attention and standardize how a rubric gets applied across a class.

Part of the workshop is teaching you to get AI output you actually want to use. That happens by helping your AI understand what you value about feedback, including your pedagogy, your standards, and the way you read student writing. The AI then functions as a specialized assistant for this work rather than a generic one. The same articulation work transfers to any other practice you want to train AI for after this workshop.

You will work across Gemini, NotebookLM, and Claude or ChatGPT, with a curated research base underneath the design work.

SHAPE

Audio. Prompt set. Walkthroughs. Tools you build. The articulation work for your AI. A curated research base underneath.

PLATFORMS

Gemini · NotebookLM · Claude or ChatGPT.

PREREQ

None. Comfort with a few AI platforms is enough. The workshop teaches the rest.

05

FOR MEMBERS

Take the feedback work further into the year.

Inside Teaching for Today, the feedback work extends past the workshop into your year-long workflow. Membership infrastructure tracks what each student has received as feedback, where they were in their writing when they got it, and what they did with it after. The same infrastructure runs the student-facing communication that keeps the feedback conversation going past the day you handed the paper back.

The workshop designs the system. The membership runs it across the year.

SCOPE

The workshop is one-time. The membership is the running layer underneath: the tracking, the communication, the longitudinal view.

NOTE

Current members get the bundle of all five workshops at the price of a single one.

06

TAKE IT

Take this workshop, or take it inside a bundle.

This workshop runs $49 on its own. If you are thinking about more than one, the bundle options on the series page give a per-workshop discount that grows the further you go. The System Pair runs $89. The Responsive Trio runs $129. The full five-workshop series runs $199.

PRICING TABLE

1 · $49
2 · $89 (System Pair)
3 · $129 (Responsive Trio)
5 · $199 (Full Series)

DELIVERY

One-time purchase. Lifetime access. Asynchronous from drop day onward.

07

WHO IT IS FOR

This workshop was built for and by English teachers. The feedback design assumes you teach writing as part of your subject, that the writing your students do involves close reading and evidence-based argument, and that the rubric work in your classroom carries assumptions a math teacher's wouldn't.

A serious second-year English teacher belongs here. A veteran biology teacher does not.

COLOPHON

AI + Practice · Workshop 01 of 5. Built by an English teacher reacting to what most AI-for-teachers content gets wrong about feedback.

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AI and Pedagogy Series - Grading and Feedback$49

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  • 1xAI and Pedagogy Series - Grading and Feedback$49
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