Many schools have written policies about AI but have not given teachers time to practice using it. Staff arrive at meetings with very different levels of comfort, from enthusiasm to deep skepticism, and a single presentation rarely bridges the gap. A hands-on session in which teachers examine real examples and discuss them is far more productive. One hour can be enough to build shared understanding and a few agreed practices.

The aim of the session is not to convince everyone to use a tool. It is to help teachers think clearly about what AI-drafted feedback can and cannot do, to identify the review habits that keep quality high, and to decide how their department will approach it. Teachers who feel their professional judgment is respected are far more willing to engage. Say this at the start so that people feel safe to voice concerns.

Prepare by collecting three or four anonymized student essays with a rubric, along with draft comments from the tool or tools your school is considering. Include examples that are accurate, examples that miss the point, and one that is too generic. Print copies or share them digitally, and make sure the examples relate to the subjects your teachers teach. Realistic materials make the conversation concrete.

Minutes 0 to 15: Frame the purpose and set norms

Open with the goals and the ground rules: teachers decide what feedback students receive, student privacy comes first, and criticism of the tools is welcome. Share a brief summary of your district's policy and any state guidance, being clear about what is allowed. Ask each participant to write down one hope and one worry, and collect a few aloud. This sets a constructive tone and surfaces what the group cares about.

• Collect three or four anonymized essays with draft comments, including flawed examples
• Start by stating that teachers decide what feedback students receive
• Have small groups score essays themselves before reading the draft comments
• Build a short checklist for reviewing AI-assisted feedback as a group
• End with one voluntary next step per teacher and a follow-up date

Minutes 15 to 40: Review real examples in small groups

Divide teachers into groups of three or four and give each a sample essay, the rubric, and the draft feedback. Ask them to score the essay themselves first, then compare their judgment with the draft and note anything they would change. Have them label each comment as accurate and useful, accurate but generic, or inaccurate. The exercise shows quickly why review matters and what to look for.

Bring the groups together to share findings. Chart common problems, such as comments that overpraise vague claims or miss a subtle misreading of the text. Discuss which criteria the draft handled well and which required more teacher judgment. These patterns become the foundation for your department's review checklist, and keeping a running list on a whiteboard makes it easy for the whole room to see which problems appear again and again.

Minutes 40 to 55: Build a shared review routine

Together, draft a short checklist for reviewing AI-assisted feedback. It might include confirming that every score matches the evidence in the paper, checking that comments refer to what the student actually wrote, and rewriting any comment that sounds generic or harsh. Decide how much review is needed for different assignments, such as full review for high-stakes essays and sampling for practice work. Agree on what to tell students and families about how feedback is produced.

Discuss how to handle errors when they occur and who to contact with questions. Teachers should leave knowing what to do if a draft is wrong, how to report a problem, and where to find the policy. Clear procedures reduce anxiety and encourage honest use. Assign someone to collect questions that need follow-up, and a one-page reference sheet distributed at the end of the session gives teachers something to consult when a question arises later.

Minutes 55 to 60: Commit to a small next step

Close by asking each teacher to commit to one concrete action, such as trying a first-pass review on one set of essays, sharing a comment bank, or bringing an example to the next meeting. Schedule a follow-up session in a month to share results. Small, voluntary steps build confidence far better than mandates. People are more likely to follow through on a commitment they chose.

After the session, send a short summary of the checklist, policy reminders, and next steps. Invite feedback on the session so you can improve it. Over time, collect examples from teachers about what worked and what did not. A learning community around feedback practice will outlast any particular tool, and a brief follow-up survey after a month can show which parts of the session influenced actual classroom practice.