UNESCO’s AI Competency Framework for Teachers, published in 2024, sets out fifteen competencies across five dimensions, including a human-centred mindset, ethics, AI foundations, pedagogy and professional learning. It describes progression through acquire, deepen and create levels. The framework is intended as a reference for teacher development and related policy work.
What it means for your team
A school can use the framework to organise a conversation about staff development without assuming every teacher needs the same first exercise. Our practical suggestion is to connect training with a real teaching responsibility and a clear review routine.
Turn the idea into a working routine
- Ask teachers which approved tasks they need to understand before choosing a training activity.
- Use one fictional classroom example to practise both producing and evaluating an AI-assisted draft.
- Review what participants can explain and do independently before planning a more advanced session.
Measure what matters
Look for demonstrated understanding of the task and its boundaries rather than attendance at a presentation.
A competency framework is not a product certification or evidence that a single workshop establishes proficiency.
What should the team agree before putting this into practice?
Agree the purpose of the session, its practical exercise and the support available afterwards.
MAKE IT PRACTICAL
Your planning checklist
Use this checklist during a team discussion. It tracks your planning progress, not a score of your institution’s quality. Selections stay in this page and are not submitted.
Useful professional learning connects concepts with responsible practice.
Sources & context
The source supports the industry summary. The action plan is Hi Class’s practical interpretation, not a claim that the source endorses a product.
About this archive: 16 September 2026 is the collection’s reference date. This article was prepared and published on 7 November 2026. It is AI-assisted editorial content; examples are illustrative and do not describe a specific customer deployment.
