UNESCO has a framework for digital transformation in education, built on six pillars. In September they put 200 people in a room in Paris and asked them to stress-test it against AI.
It's a simple model:
- Content and solutions: the quality and openness of AI platforms, how well they match the curriculum, and where parents fit in.
- Capacity and culture: the skills and mindsets staff and students need, with critical thinking near the top.
- Connectivity and infrastructure: moving past basic access, towards shared AI capability built on open data and models.
- Cost and sustainability: how long devices last, and the risk of AI widening gaps between schools that can pay and those that can't.
- Data and evidence: whether the data is good and traceable, and whether AI improves learning or just speeds things up.
- Coordination and leadership: more government involvement in how AI tools get designed, and some coherence across competing suppliers.
Each group took one pillar and asked what AI is doing to it.
The questions that came out belong on every trust board agenda. Does AI improve learning outcomes, or just make things faster? Is the data behind it traceable? Who's accountable when it gets it wrong? Will the devices last long enough to justify the spend?
The concern raised most often was teachers. Do they have the skills and training to use AI responsibly, and to pass that on to students?
Connectivity gets the budget. Coordination and leadership gets a policy document.
The outputs feed into UNESCO's maturity assessment questionnaire, with more to come at the Global Education Coalition meeting in March 2027.
Short write-up here: UNESCO’s Digital Transformation Collaborative: Charting how AI is reshaping education systems
Which pillar is weakest in your setting?
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