Overview
What the framework is trying to do
UNESCO's student framework treats AI competency as more than learning to operate tools. It organizes development around four aspects: a human-centred mindset, ethics of AI, AI techniques and applications, and AI system design.
Each aspect develops through three levels, Understand, Apply, and Create. The framework is designed to support curriculum design, learning outcomes, assessment, and localization across different education systems.
Framework structure
Core dimensions or competencies
Human-centred mindset
Human agency, human accountability, citizenship, and judging whether AI use is justified and fit for purpose.
Ethics of AI
Embodied ethics, safe and responsible use, privacy, transparency, accountability, and ethics by design.
AI techniques and applications
AI foundations, application skills, critical use of tools and datasets, and creation of AI tools.
AI system design
Problem scoping, architecture design, testing, iteration, and feedback loops.
Critical depth
Why this framework is rated High
Rated High because human agency, accountability, equity, privacy, sustainability, ethical design, and social implications are integrated throughout the progression rather than isolated in a single ethics unit. It stops short of Very High because structural critique and political economy are not the framework's primary organizing purpose.
Central
Human agency
Present
Bias, privacy, equity, accessibility, environmental impact, verification, transparency
Limited
Power, surveillance, labor, epistemic authority
Not evident
See the Critical Dimensions Index for dimensions not assigned a stronger classification.
Evidence base
What supports the framework?
Policy framework developed through UNESCO processes and international expertise
Practical use
Especially useful for
Curriculum design, learning outcomes, assessment, program mapping, and institutional AI literacy planning.
Evaluation
Strengths and limitations
Strengths
- Clear developmental progression from understanding to creation.
- Integrates ethical and human-centred considerations with technical competence.
- Designed for adaptation across education systems and curricula.
Limitations
- Developed primarily for school students rather than higher education.
- Some advanced technical and system-design competencies may not be necessary for every learner.
- Structural issues such as political economy and surveillance are less central than human-centred ethics.
Portability
How well does it travel?
High. The framework is explicitly designed as a global reference and can be localized, although higher education users may need to adapt age-level assumptions and technical expectations.
Source
Citation
Miao, F., Shiohira, K., & Lao, N. (2024). AI competency framework for students. UNESCO. https://doi.org/10.54675/JKJB9835