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AI for Education

AI for Education

Pedagogy first. The model is an instrument. Guardrailed tutors, not answer machines; assessment that still stands when the model is off.

Level

Intermediate

Duration

6 weeks

Lessons

24

Price

Price on request

What you'll learn

  • Write the learning goal before choosing any tool, and name the evidence a model cannot be.
  • Specify a constrained tutor: error codes, a three-level hint ladder and cut-off rules.
  • Read a dashboard as a witness and write a meta-diagnosis note.
  • Redesign assessment so it still stands when the model is off, and map a unit to UNESCO and AILit (Engage, Create, Manage, Shape).

Course curriculum

01 — Pedagogy first

  • The transfer problem
  • Write the goal before the tool
  • Pedagogy first, not human in the loop
  • What design means on one page

02 — Tutor and scaffolding

  • What an intelligent tutor really is
  • The hint ladder
  • Voice is not pedagogy
  • Cut-off rules and teacher mediation

03 — Adaptation and diagnosis

  • What adaptive systems change
  • Reading a dashboard without believing it
  • Meta-diagnosis
  • Privacy and proportionate data

04 — Assessing when AI exists

  • Learning integrity
  • Formative feedback that still teaches
  • Summative assessment that survives the model
  • Generating items is not assessing

05 — Literacy frameworks

  • UNESCO teachers (AI CFT, 2024)
  • UNESCO students + OECD AILit
  • One unit, two maps
  • Offline by design

06 — Centre dossier

  • What the dossier contains
  • A policy that fits on one page
  • Pricing the risks
  • The 10-minute defence

Practical application

  • · Fill in a decision sheet and a tutor specification for a unit you actually teach.
  • · Defend a pilot to a sceptical head of studies in ten minutes, including when you would stop it.

Practical project: A centre dossier: one-page policy, pilot unit, risk register, cut-off criteria and a 10-minute defence

Who is this for?

  • · Primary, secondary and university teachers
  • · Heads of studies and instructional designers
  • · EdTech product teams publishing tutors

Requirements

  • · A unit you currently teach
  • · No programming required
Faculty chair portrait — AI for Education

Meet your instructor

AI for Education

Instructor to be announced

Pedagogy-first AI, constrained tutoring, assessment integrity.

The verified name, biography, professional experience and public profile for this chair are published once confirmed. INTELLCOREAI does not present unverified profiles as faculty.

Student reviews

Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.

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