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Diagnosis report on data literacy

By March 9, 2026March 20th, 2026No Comments

What it is

A comprehensive desk research report examining data literacy and GenAI adoption across seven European partner countries, combining a systematic literature review (59 publications), analysis of major competence frameworks, review of 100 Erasmus+ initiatives, and national policy/curriculum surveys.

What you’ll find inside

  • Why data literacy remains fluid and context-dependent, with no single agreed definition.
  • Where current frameworks show minimal connection to GenAI—and why this leaves a gap for schools.
  • Evidence that many approaches still focus on input-side practices (collection, management, evaluation), while GenAI raises urgent “output-side” questions about reliability, bias, and evidence.
  • Policy and curriculum implementation varies widely—from compulsory named courses to cross-curricular approaches—highlighting the need for flexible, adaptable support.

Explore D2.1 / download pdf [LINK]


Dr. Michael Hallisy, H2 Learning

Q: What’s the single biggest/most interesting/surprising gap you found in today’s data-literacy frameworks and policies when generative AI enters the picture, and why does closing that gap matter right now for upper secondary education?

A: The review found that at present there is minimal connection between existing data literacy frameworks and GenAI usage and confirmed that there is a need for practical tools, such as frameworks and teacher training, that address data literacy in the context of GenAI usage.

There is a need to co-create a framework with schools that helps them to address issues of data literacy in practical ways that apply to their classroom and their subject areas. Such a framework will need to align with existing frameworks, such as DigComp, while enabling teachers and students to delve deeper into specific issues that are pertinent to the use of GenAI in schools and in the outside world.

There is a growing urgency that young people, of all ages, but particularly those over the age of 16 understand how to use GenAI, so they can use it critically in all aspects of in their everyday lives.