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AI Literacy Frameworks (UNESCO • DEC • AILit) - Coggle Diagram
AI Literacy Frameworks (UNESCO • DEC • AILit)
Shared Across All
Human-centred & ethical orientation
Progressive competency levels (understand ➜ apply ➜ create/master)
Integration across disciplines & real-world contexts
Emphasis on human skills (critical thinking, creativity, collaboration)
DEC “AI Literacy for All” Framework
Five pillars
Understanding AI & Data
Critical Thinking & Judgement
Ethical & Responsible AI Use
Human-Centredness, Emotional Intelligence & Creativity
Domain Expertise (discipline-specific application)
Non-linear progression; stresses lifelong upskilling
Focus on faculty & student AI readiness and workforce relevance
Pairwise Overlaps
UNESCO ⇆ DEC
Multi-level progression models
Teacher professional-development focus
UNESCO ⇆ AILit
Alignment with formal education standards & curricula
Staged learner personas and classroom exemplars
DEC ⇆ AILit
Domain-specific expertise pillar/domain
Continuous learning & adaptability emphasis
UNESCO AI Competency Framework
Two tracks: Students | Teachers
Eight competency areas
AI foundations & concepts
Data & representation
Using AI systems
Designing/creating AI (students)
AI pedagogy & professional growth (teachers)
Ethics, privacy & security
Societal impact & sustainability
Human-machine collaboration
Three mastery levels: Acquire → Apply → Innovate
AILit Framework – Empowering Learners for the Age of AI
Four domains
Engaging with AI
Creating with AI
Managing AI (safe, ethical, sustainable use)
Designing AI (intro model-building & evaluation)
Competence anatomy: Knowledge • Skills • Attitudes
K-12 focus; aligns with DigComp & AI4K12; embeds sustainability
Unique Features
Only UNESCO
Separate frameworks for students vs. teachers
Explicit AI system-design competencies (students)
Only DEC
Five-pillar heuristic featuring EI/creativity
Built on global student & faculty AI-readiness surveys
Only AILit
Explicit Knowledge–Skills–Attitudes triad
Strong environmental-sustainability lens
Linked to forthcoming PISA 2029 AI literacy assessment