For school leaders

More capacity for your staff, and evidence to show for it.

Programs for students, teachers, and families, planned around your calendar, run on your campus, and handed over to your team.

  • StudentsGrades 6 to 12
  • AdultsTeachers, parents, and boards
  • WhereOn your campus
  • LanguageEnglish or Chinese
What school leaders weigh

Four constraints, four ways through.

The questions leaders ask before saying yes, and what each partnership is built to leave behind.

  1. The constraint

    Staff time is already spoken for

    Accreditation and curriculum work fill the year.

    How a partnership handles it

    The playbook stays

    Your teachers co-run the sessions, and the curriculum, rubrics, and demo-day format stay with your team.

  2. The constraint

    Boards ask for evidence

    A new program has to show what students can do at the end.

    How a partnership handles it

    Families in the room on the last day

    Every program ends in a demo day or a live portfolio, with families there to see the work.

  3. The constraint

    Tools and child protection

    Every AI program raises questions about approved tools and student data.

    How a partnership handles it

    Your rules, agreed first

    We use only the tools your school approves and agree the data rules with your technology team before planning.

  4. The constraint

    A school with its own context

    Ages, languages, and parent expectations differ from school to school.

    How a partnership handles it

    Adapted before it runs

    Planning starts eight to twelve weeks ahead; we tailor the plan to age and language, with parent letters included.

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 law behind it
  • China

    Personal Information Protection Law (PIPL), in force since Nov 1, 2021

    Personal information of children under 14 is sensitive personal information (Art. 28). Processing it needs the consent of a parent or guardian, and dedicated processing rules (Art. 31).

    Official text (Chinese) →
  • European Union

    General Data Protection Regulation (GDPR)

    Depending on its location and families, a school may also fall under the GDPR. For online services offered directly to a child, consent below 16 must come from a parent; member states may set 13 to 16 (Art. 8).

    Official text (EUR-Lex) →
  • Thailand

    Personal Data Protection Act B.E. 2562 (2019)

    The data controller is whoever has the power to decide how personal data is collected, used, or disclosed (Section 6). For student data, that is the school.

    Personal Data Protection Committee →

General information, not legal advice. Your school’s data-protection lead decides what applies.

Before adopting any AI tool

Eight questions to ask first.

  1. Whose account is it?A personal account, or one the school approves and manages?
  2. Is there a data agreement with the school?Signed by the school, not accepted by one user.
  3. Where is data stored and processed?And does that fit the laws your school follows?
  4. Will minors use it?If so, is parental consent in place where the law requires it?
  5. How long is data kept?Can the school delete it, and how?
  6. Does the provider train on what users type or upload?Can that be switched off for the school?
  7. What can school administrators control?Accounts, sharing, and activity logs.
  8. How will families be told?Which tools are used, and for what.
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.

Nothing you pick here is sent or stored. It stays in your browser.

Why it fits

Planned around what your school already does.

Staff time already goes to accreditation and curriculum work. Every program fits around it.

  • 01 · Staff capacity

    Start small, then grow

    Begin with one live session at a staff meeting you already hold.

  • 02 · Evidence

    Work students must show

    Each program has clear learning goals and ends in a demo day or a live portfolio.

  • 03 · Your calendar

    No new class needed

    Holiday electives outside school time, or inside a course that already fits, such as computer science.

What the research says

Students already use AI. Schools are still writing the rules.

Four findings from RAND’s national surveys. Each links to its source.

How a partnership works

Planned with your team, run on your campus.

Four steps, usually starting eight to twelve weeks before the program dates.

  1. 01 · Scope

    One call

    Your calendar and goals. Together we choose the format and set the dates.

  2. 02 · Adapt

    Your context

    We tailor the plan to age and language, with parent letters included.

  3. 03 · Run

    On your campus

    We lead the sessions with your teachers, ending with families in the room.

  4. 04 · Hand off

    The playbook stays

    The curriculum, rubrics, and demo-day format stay with your team.

Families in the audience at a student demo day

Families at demo day, Beijing 2026

Our team studied at
  • International School of Beijing
  • Brown University
  • Caltech
  • Harvard University
  • Tsinghua University
Worked at
  • McKinsey & Company
  • Goldman Sachs
  • Y Combinator
  • Apple
  • Microsoft AI
  • Deloitte
  • Kimi (Moonshot AI)
Where we have done this

Programs we have run.

  • International School of Beijing · Summer 2026

    A five-day student program

    Over five days, students built working websites and apps with AI and presented them to judges, on the school’s campus with mentors in the room.

    Where
    International School of Beijing
    Judges
    Founders and operators from Harvard, Stanford, Y Combinator, and AI labs
    See results →
  • Bodley Academy · Hong Kong, summer 2025

    Twenty students, five days

    A five-day course designed and taught by Phillip An. Each student worked on one real problem they chose.

    Students
    20
    Rating
    9.5 / 10 Net Promoter Score
    See results →
  • 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 →
Tools students and staff have learned, when a school approves them
  • ChatGPT
  • Claude
  • DeepSeek
  • Kimi
  • Figma
  • Canva

Or the tools your school allows. What carries over is the method: choose, judge, and finish.

Fair questions

What school leaders ask.

We have no time for more PD.

Start small: one live session at a staff meeting you already hold. Student programs can run outside school time.

Is this a gimmicky AI class?

No. Students practice agency, taste, and craft by making real work and finishing it. Our approach →

What about tools and child protection?

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

What does the school provide?

A room, a laptop for each student, and a teacher who co-runs the sessions.

How is it priced?

Per cohort, based on group size, length, and format. Send grades, dates, and numbers; we reply within three working days.

Who controls student data in a program?

Your school does. We work inside your approved platforms and policy, agree the data rules with your team first, and keep student personal data out of personal accounts.

How far ahead should we plan?

Usually eight to twelve weeks before the program dates, starting with one call about your calendar and goals.

Next step

Start with one conversation.

Tell us your grades and dates. We’ll reply within three working days with a format that fits.

Preview of the Arena School one-pager

A one-pager for your board

Every program and what we have run.