Framework profile

UNESCO AI Competency Framework for Teachers

To guide teacher professional learning and national or institutional competency frameworks for ethical and effective use of AI in teaching, learning, and assessment.

Year2024
Framework typeCompetency / developmental
PopulationTeachers / faculty
Critical depthHigh
Evidence basePolicy framework informed by UNESCO Member States, an international working group, consultation meetings, and online consultation
PortabilityHigh
ContextGlobal; teacher education and professional development
Author / organizationFengchun Miao & Mutlu Cukurova / UNESCO

Overview

What the framework is trying to do

The UNESCO teacher framework combines technical competence with pedagogy, professional learning, human rights, and human accountability. It is organized around five aspects and three developmental levels: Acquire, Deepen, and Create.

The model emphasizes that teachers should critically judge when and how AI belongs in education, rather than treating adoption as inevitable.

Framework structure

Core dimensions or competencies

Human-centred mindset

Human rights, human flourishing, agency, accountability, citizenship, and evaluation of AI benefits and risks.

Ethics of AI

Ethical principles, laws, institutional rules, safe use, and participation in adapting ethical rules.

AI foundations and applications

Conceptual understanding, tool selection, limitations, and use in real educational contexts.

AI pedagogy

Purposeful integration of AI with teaching, learning, assessment, inclusion, and social care.

AI for professional development

Lifelong professional learning and collaborative development using AI.

Critical depth

Why this framework is rated High

Rated High because the framework foregrounds human rights, systemic inequality, privacy, cultural and linguistic diversity, inclusion, sustainability, and teacher agency. Its main purpose remains professional competency development rather than structural critique itself.

Central

Privacy, equity, human agency

Present

Bias, labor, accessibility, environmental impact, epistemic authority, verification, transparency

Limited

Power, surveillance

Not evident

See the Critical Dimensions Index for dimensions not assigned a stronger classification.

Evidence base

What supports the framework?

Policy framework informed by UNESCO Member States, an international working group, consultation meetings, and online consultation

Practical use

Especially useful for

Faculty development, teacher education, curriculum planning, AI policy implementation, and professional learning pathways.

Evaluation

Strengths and limitations

Strengths

  • Strong integration of pedagogy with ethics and human-centred judgment.
  • Developed through broad international consultation.
  • Useful for faculty development as well as institutional planning.

Limitations

  • Uses the broad category of teacher, so adaptation may be needed for higher education faculty roles.
  • Some structural concerns are present but not explored with the depth of explicitly critical frameworks.

Portability

How well does it travel?

High. It is designed as a global reference and is intentionally adaptable across education systems.

Source

Citation

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084

Open source / DOI ↗