The Teacher Toolkit

Mark a whole class in an evening.
Confirm every mark yourself.

Upload the class, let it draft a rubric-aligned judgement for every student, then go through them one by one and decide. It does the reading. You do the marking.

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The Teacher Toolkit submissions table: one line per student for draft and final, with confirmed marks, word counts and integrity signals.
A faithful Teacher Toolkit demonstration using fictional class data.

ISMGenius by the numbers

1,485+

Assignments Analysed

352+

Students Supported

133+

Academic Integrity Scans

1.69m+

Words of Feedback Generated

The markingstays yours.

Every result is a suggestion, not a verdict.

It appears in your moderation workspace against each criterion, ready for your review. Nothing becomes a mark until you confirm it.

Our estimates are QCAA-aligned — not QCAA outcomes. We don't replace your expertise; we save you time.

Get a reliable first read on every draft in minutes, not hours, so you can give better feedback where it matters most.

Draft analysed

The AI reads the work against your rubric.

You review

Suggestions appear in your moderation workspace.

You decide

Confirm every mark and hand back with confidence.

Your judgement. Your standards.

ISMGenius gives you a consistent, QCAA-aligned first read so you can focus on what only you can do.

The workflow

A marking session, start to finish

  1. 1

    Build the class once

    Create a class, then paste your roster in — one student per line, with an optional student ID. Add an assignment and upload its task sheet and ISMG. You do this once; every assessment for that class reuses it.

  2. 2

    Drop the whole class in

    Upload up to 200 PDFs at once. Each file is matched to a student by the name or student ID in its filename. A full-name or ID match files itself; a single-token match is filed but flagged for you to confirm; anything ambiguous is held aside rather than guessed.

  3. 3

    Generate all, then close the laptop

    One click queues every submission that still needs marking. The run is durable — it finishes on the server whether or not your browser stays open, and picks up again if something fails partway.

  4. 4

    Moderate — this is the part that counts

    Every result opens as a suggestion beside your judgement, criterion by criterion. Accept it, adjust it, or overrule it entirely. Nothing is a mark until you finalise it.

  5. 5

    Hand it back

    Print one page per student, or export the whole class as a gradebook CSV with your marks and comments. Students never need an account — you hand the feedback over yourself.

What you get

Everything you need in the Teacher Toolkit

From whole-class marking through moderation to hand-back, every part of it works in one place.

Mark a whole class at once

Upload up to 200 PDFs in one go, matched to your roster by filename. Confident matches file themselves, uncertain ones are flagged, and anything ambiguous waits for you rather than being guessed.

Moderate with AI beside you

Each criterion shows the AI's best-fit judgement next to yours. Fill in the suggestions and adjust, or mark from scratch. Nothing becomes a mark until you finalise it.

See the whole class clearly

A cohort-level read on where the class landed: what most students did well, where the common shortfall was, and what is worth reteaching before the next task.

Classes and rosters

A class holds your roster and every assessment you set it. Paste a list to build it in one go, and use names or student numbers — whichever you would rather have in your gradebook.

Draft and final, side by side

Every student carries two tracks. Mark the draft, then the final against the same rubric, and see both on one line — including whether the work moved between them.

Integrity signals, with their limits shown

Optional AI-likelihood and source scanning, per submission or per class. Every score carries when it was run and how much of the document it covered.

Printable hand-back sheets

One page per student. Print the class in a single pass or copy a single sheet into your LMS — the student needs no account.

Share a class with your faculty

Add a co-teacher who can mark alongside you, or a view-only colleague. Internal moderation is a multi-teacher process, so the toolkit treats it as one.

Student data you control

Student work is never used to train AI models and is never sold or shared. Deleting a student, assignment or class removes the files, the feedback and the scans with it.

Every one of these ships in the toolkit today.

Academic integrity

Integrity scanning that shows its limits

Run it only when you want it, see exactly what it covered, and keep the conversation with the student on the record.

Nothing is scanned automatically

Detection runs only when you ask for it, on a submission or on a class. A teacher who would rather not use it never has to.

Coverage travels with the score

Long submissions exceed the detector's input limit, so a score can reflect part of a document. It always says which, and when it was run.

A record of the conversation

Each case holds what you checked, what the student said, and what happens next, so the discussion is what settles it.

No detector identifies AI writing correctly in every case. A percentage should never be the sole basis of a misconduct finding, and the toolkit is built to keep that limitation in front of you.

Get access

Apply for the Educator plan

Apply with your school email. If your school's domain is recognised it is matched automatically; otherwise just tell us where you teach. There is no charge and no card.

FAQ

Questions from educators

Does this mark my students for me?
No. It produces a best-fit suggestion against your ISMG, and nothing becomes a mark until you confirm it in the moderation workspace. Every result is shown as "the AI's suggestion → the judgement you confirmed", because that distinction is the whole design. The professional judgement stays yours, and so does the accountability.
How does it know which PDF belongs to which student?
By the filename. Include the student's name or their student ID and it files itself. A match on a full name or an ID is treated as confident; a match on one name token is filed but flagged for you to confirm; a filename that could be two students on your roster is held aside as unmatched rather than guessed. You can reassign any submission at any time.
What happens if I close my laptop mid-run?
The run continues. Whole-class processing is queued on the server and finished there, so it does not depend on your browser staying open. Come back later and the results are waiting.
Can another teacher work on the same class?
Yes. You can add a co-teacher who marks alongside you, or a view-only colleague — useful for internal moderation, for a HOD checking consistency, or for whoever picks up the class when someone is on leave. Everything stays attributed to the class, so it survives a collaborator being removed.
How reliable is the AI detection?
Treat it as a signal worth looking into. No detector is reliable enough to accuse a student on its own, and long submissions are only partly scanned — which is why every score shows how much of the document it actually covered, and when it was run. The toolkit gives you a case record to write down what you checked and what the student said, because the conversation is what settles it.
Do my students need accounts?
No, and they cannot have one. The toolkit has no student-facing surface at all: no student logins, no student email addresses, no notifications. Feedback reaches a student when you print it or paste it into your LMS. That is a deliberate design choice and it removes an entire category of privacy risk.
What will my school's privacy officer ask for?
Usually a data processing agreement and a privacy impact assessment. Both exist and are written to the Australian Privacy Principles — including the full sub-processor list, retention and deletion commitments, and an honest account of the residual risks. Ask and we will send them.
Which subjects does it work with?
Any Queensland subject assessed against an ISMG. The rubric you upload is what it marks against, so coverage follows your task sheet rather than a fixed subject list.

Get your weekend back.

Try it on a single draft first — no account needed. Then apply for the toolkit and bring the whole class.

Try one draft freeApply for Educator Access

For your marking workflow

How the criterion estimates are produced, and what to tell students who ask about AI use.