For teachers

Make the small tool your class is missing.

Bring one task from grading, planning, or differentiation. Leave with a tool you made with AI, on your school’s approved tools, with your judgment in charge.

Bring it to your school →See the tools →
  • WhoTeachers and curriculum leads
  • SubjectsAny
  • WhereAt your school
  • CodingNone needed
What teachers face

Four pressures, four answers.

The questions we hear from teachers before every session, and how each session is built around them.

  1. The pressure

    No time to learn one more thing

    Planning, grading, and differentiation already fill the week.

    How we answer it

    One task, one tool, in the session

    Each teacher brings a task from a class they teach now and leaves with a tool made with AI.

  2. The pressure

    Unclear rules on tools and data

    Which tools are allowed, and what student data may go into them, is often still being decided.

    How we answer it

    Your approved tools, your data rules

    We work only on the tools your school approves, and agree the data rules with your technology team first.

  3. The pressure

    Polished work that hides the thinking

    Students can hand in work AI helped produce, and the final product alone does not show who did the thinking.

    How we answer it

    Assess the process

    Drafts, reflections, and the reasons students give for each change, so the thinking is visible.

  4. The pressure

    Training that does not reach Monday

    A generic demo is hard to apply to the lesson you teach next week.

    How we answer it

    Start from one part of one class

    Teachers keep the tool and the prompt behind it, and each department gets a follow-up.

Student data comes first

Before which tool, ask: whose account is it?

Our first job is safeguarding students. The same AI tool can be safe or unsafe for student data, depending on the account it runs in.

A personal account

Signed up by one person

Terms
Consumer terms, accepted by one user
Data agreement
None with the school
Safeguards set by
The provider
Student data
Not approved for student data

A school-approved platform

Set up and managed by the school

Terms
An enterprise agreement with the school
Data agreement
Yes, agreed by the school
Safeguards set by
The school
Student data
Approved, under the school’s policy
How we handle it

  • Inside your approved platforms

    We work only in the accounts and tools your school approves, and agree the data rules with your team before any session.

  • No student data in personal accounts

    Student names, work, and records never go into a personal or consumer account.

  • Sample data for practice

    Teacher sessions use teachers’ own materials or anonymized sample data, not student records.

  • AI use disclosed

    Learners say which steps they handed to AI, and how they used it.

  • Teachers learn to check the terms

    Every teacher session covers whose account a tool runs in and what its data agreement says.

  • Your data-protection lead decides

    We follow your data-protection officer and policy, and adjust when they do.

The full checklist and the law behind it →

AI fluency for the whole staff

A few early adopters are there. We bring everyone else up.

Most schools have a few teachers already building with AI. We bring the rest of the staff up to par, safely, inside your school’s rules.

Five levels of teacher fluency
  1. Level 1UnawareHasn’t used AI, or avoids it.
  2. Level 2CuriousTries chat tools now and then.
  3. Level 3PractitionerUses approved tools weekly for planning, feedback, and admin.
  4. Level 4DesignerBuilds AI into lessons, and teaches students to use it responsibly.
  5. Level 5BuilderCreates tools for colleagues, and leads others.
How we move the whole staff
  1. BaselineA short self-assessment places every teacher on the scale.
  2. One level upWe train each group up one level, starting where they are.
  3. Each termWe re-measure each term, so leadership sees the whole curve shift.
  4. In-house coachesLevel 5 teachers become coaches for their colleagues.

All of it inside your student-data guardrails →

12345
BeforeAfter a termIllustrative shape, not data: the staff curve before, and after a term of training.
Where are you now?Pick the statement that fits you best.

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Tools teachers made

Small tools, made by teachers.

Each one started as a single task from a real class.

  • English · Literature

    Poem annotator

    Literary devices marked in a poem’s margin, ready for discussion.

    Made by Ben, an English teacher at Shanghai American School (SAS)

  • Any subject

    Who is missing what

    Which students are missing which piece of knowledge, at a glance.

    Made by Ben, an English teacher at Shanghai American School (SAS)

  • Any subject

    Feedback helper

    Comment ideas against your own rubric. You edit each one.

  • Your class

    The tool you wish existed

    Bring one task. We make the first version together.

What the research says

Teachers are already using AI. The rules have not caught up.

Four findings from recent studies. Each links to its source.

How we work with teachers

We start from what already works.

We don’t redesign your course. Each session starts from one small part of one class.

  1. 01 · Before

    Which tool do you wish existed?

    Each teacher brings one task from a class they teach now.

  2. 02 · Show

    One tool, live

    We make one tool on screen from a plain-language description.

  3. 03 · Make

    Your own tool

    Each teacher makes theirs on your approved tools and checks every result.

  4. 04 · Keep

    Ready for class

    Teachers keep the tool and the prompt behind it, to reuse and share.

Decisions about teaching and assessment stay with your faculty.

Where we have done this

Built with teachers, on their own work.

  • Tsinghua University · Staff training

    Schwarzman College

    Training for staff built around their own work, with their judgment in charge. The same format as AI for Educators.

    Who
    Staff, Schwarzman College
    Format
    Hands-on workshop
    Taught by
    Phillip An
    See results →
  • Shanghai American School · A teacher’s tools

    Ben, English teacher

    Two small tools for his own classes: a poem annotator that marks literary devices, and a view of which students are missing which piece of knowledge.

    Subject
    English
    Tools
    Poem annotator; Who is missing what
    See the tools →
  • Next · ACAMIS Technology Conference

    Keystone Academy, Beijing

    A 60-minute hands-on workshop for teachers and tech coaches, built on a case study from the International School of Beijing.

    When
    Sunday, October 18, 2026
    For
    Teachers and tech coaches
    Session details →
Tools we often work with
  • ChatGPT
  • Claude
  • DeepSeek
  • Kimi
  • Perplexity
  • Canva

Or whatever your school has approved. The tool matters less than the habit of checking every result.

Questions

Common questions.

Is this more work for me?

It starts from one task you already do, and the tool is made during the session. You decide whether to keep using it.

I’m not technical. Will I keep up?

Yes. No technical background or coding is needed.

What about students using AI to cheat?

We address it directly: how to assess the process, through drafts, reflections, and the reasons behind each change, and when AI doesn’t belong.

Our school restricts tools and student data.

We work only on the tools your school approves, and agree the data rules with your technology team first. For technology staff →

Can I use my personal AI account with my class?

Not with student data. A personal account runs on consumer terms, with no data agreement with your school. We work in the accounts your school approves, and practice with sample data.

What do teachers keep afterward?

The tool they made and the prompt behind it, to reuse and share with colleagues.

Can it be for one department only?

Yes. A hands-on workshop for one department is one of the three formats; a school-wide training gives each department its own session and a follow-up.

Next step

Bring the training to your school.

Tell us about your faculty and preferred dates. We reply within three working days.

Bring it to your school →
Preview of the Arena School one-pager

A one-pager for your principal

Every program and what we have run, on one page.