Last updated: March 2026

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Dimension 2 of 9

Teacher AI Competency

Teacher AI competency encompasses the knowledge, skills, and confidence that teachers need to work effectively in an AI-rich educational environment. This includes understanding AI concepts, using AI tools for teaching and professional tasks, integrating AI meaningfully into pedagogy, assessing student AI work, and modelling responsible AI use.

Why this matters

Teachers are the critical link between AI tools and student learning. Without competent, confident teachers, even the best AI strategy and infrastructure will fail to translate into meaningful educational outcomes. In international schools, high staff turnover makes this especially challenging — competency-building must be embedded in systems and culture, not dependent on individual champions who may leave at the end of each academic year.

The 5 maturity levels

Schools progress through five maturity levels, from initial exploration to sector leadership. Each level builds on the previous one.

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Level 1: Exploring

Early adopters only

No teacher AI training or guidance provided. Teachers may be experimenting individually but there is no institutional support.

Key indicators

  • No CPD records for AI
  • No training schedule
  • Any AI use is informal and self-directed
  • Teachers express uncertainty about AI
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Level 2: Developing

Structured CPD begins

Ad-hoc AI awareness but no formal training programme. Some awareness sessions may have been offered but there is no sustained approach.

Key indicators

  • Occasional awareness sessions
  • No sustained training programme
  • Teachers aware of AI but not confidently integrating
  • Significant variation between teachers
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Level 3: Established

Subject-specific pedagogy

Structured CPD programme covering AI literacy and pedagogy. Teachers have access to a coherent training programme that builds AI knowledge and pedagogical skills.

Key indicators

  • Structured CPD programme with AI modules
  • Teachers can articulate pedagogical rationale for AI use
  • Evidence of AI integration in lesson planning
  • Most teachers have completed foundational training
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Level 4: Advanced

Coaching and mentoring

Teachers confidently integrate AI into teaching with assessment. They use AI tools effectively and adapt their pedagogy in response to AI capabilities.

Key indicators

  • Teachers designing AI-enhanced learning experiences
  • Assessment of student AI work is sophisticated
  • Teachers use AI for professional tasks
  • Peer observation includes AI pedagogy
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Level 5: Leading

Thought leaders

Teachers innovate with AI, mentor peers, and contribute to the field. The school is known for teacher AI excellence.

Key indicators

  • Teachers publish or present on AI in education
  • External mentoring or consultancy
  • Innovation in AI pedagogy
  • Teacher-led AI research or action research

What we look for

When auditing this dimension, we examine your school’s documents for evidence across these key areas:

Formal training on AI tools and their educational applications

Teachers equipped to integrate AI into their teaching practice

Ability to assess student AI competency effectively

Teacher confidence using AI tools in the classroom

Framework alignment

This dimension is benchmarked against leading international frameworks to ensure your audit reflects global best practice.

UNESCO AI Competency Framework for Teachers

Comprehensive global framework defining the AI competencies teachers need, from foundational understanding to innovative practice.

DigiCompEdu

European framework for educators' digital competence, recently updated to address AI-specific pedagogical competencies.

TeachAI Toolkit

Practical toolkit helping educators understand AI concepts and integrate them into their teaching across subjects.

ISTE AI Resources

International Society for Technology in Education resources for teacher AI readiness and integration.

Common gaps

These are the most frequent gaps we see when auditing schools in this dimension:

Measuring attendance at training sessions rather than actual competency

One-size-fits-all training that ignores subject-specific AI integration needs

Training on tools rather than pedagogy — 'how to use ChatGPT' instead of designing AI-enhanced learning activities

Ignoring the emotional dimension — many teachers feel genuine anxiety about AI and their relevance

Assuming younger teachers are more competent — age is not a reliable predictor of AI literacy

Not accounting for teacher turnover in international schools

How this connects to other dimensions

No dimension exists in isolation. Understanding these connections helps schools prioritise their improvement journey.

Depends on Professional Development — PD programme must exist to build competency

Depends on Institutional Readiness — resources and strategic support needed

Enables Student AI Literacy — teachers need competency before developing student literacy

Enables Assessment Integrity — competent teachers can redesign assessment

Find out your school’s teacher ai competency score

Upload your school’s policy documents and receive a detailed assessment across all 9 dimensions, with evidence-based scores and actionable improvement plans.

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