The learning map.

The AILit framework (European Commission, OECD, Code.org) defines 19 competencies across four domains, from foundation to culmination. Each unit also carries a Council of Europe dimension: filter the map to see this crossing.

Engage is the foundation. Once acquired, Create and Manage are worked in parallel. It all culminates with Shape.

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Filter by dimension

Foundation

/01

Engage

ENGAGE

Technological

The foundation domain. Recognize AI around you, understand what it does and does not do.

1.1Open

AI knows nothing. It guesses.

Target AILit competency — Understand that a generative system produces a statistically likely output, without intent or understanding.

Start →Source ↗

Competency to come

In parallel

/02

Create

CREATE

Practical

Use the tools to produce, learn and explore ideas, with method. Worked in parallel with Manage.

Competency to come

/03

Manage

MANAGE

PracticalHuman

Check sources, protect your data, keep control over your choices. Decide responsibly.

Competency to come

Culmination

/04

Shape

SHAPE

Human

The culmination of the framework. Interrogate bias, fairness, power, environmental impact. The most demanding domain, and Metodiem’s differentiator.

4.1Open

Bias is not the machine’s opinion.

Target AILit competency — Recognize that an AI system reproduces regularities present in its data, and identify their effects on real decisions.

Start →Source ↗

Competency to come

Traceability

Each unit points back to an identified competency of the AILit framework, published under CC-BY 4.0. The framework is open to consult and download.

Consult the AILit framework →Download the official PDF ↓