UNESCO AI Competency Framework — Put into Practice

How does Saval align with the UNESCO AI Competency Framework?

Saval maps to the framework’s core dimensions in practice. Teachers keep control of prompts, rubrics and strictness (human-centred mindset), students see the rationale behind every AI grade (ethics of AI), multi-model comparison builds AI foundations, and problem-based gamified formative assessment delivers the AI pedagogy dimension.

Saval maps to the framework’s core dimensions:

• Human-centred mindset — teachers stay in control of prompts, rubrics and strictness
• Ethics of AI — transparent grading rationale students can see and challenge
• AI foundations and applications — multi-LLM comparison, prompt authoring, and explainable feedback
• AI pedagogy — problem-based learning and gamified formative assessment built in

What does the framework mean for teachers?

Teachers use Saval both to teach with AI and to teach about AI. Grading, feedback and scaffolding are AI-assisted, while comparing models, critiquing outputs and designing prompts turn the same tool into an AI literacy lesson — inside a platform students already use every week.

What does the framework mean for students?

Students build responsible AI competency by doing rather than by being told. They receive AI feedback on real work, evaluate whether it is accurate, and reflect on where it helped or misled them — which is exactly the critical, human-centred AI use the UNESCO framework describes.