Level 1: AI Teacher
A practical foundation course for classroom teachers at any level, with no technical background required. Level 1 builds a clear understanding of what AI is, how it works, and how to introduce it meaningfully in the classroom covering core concepts, teacher-facing tools, age-appropriate student progression, and digital safety. The emphasis throughout is on building teacher confidence and equipping participants with immediately usable knowledge and strategies.
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Key Concepts
- Understand what AI is and is not — including core vocabulary, key terminology, and emerging global frameworks
- Use teacher-friendly AI tools to support lesson planning, differentiation, assessment, and pupil engagement
- Embed age-appropriate AI literacy across the curriculum from early years through to secondary level
- Apply principles of digital safety, ethics, and safeguarding to guide responsible AI use in your school
- Recognise risks including hallucinations, academic integrity issues, data privacy, and AI dependency
- Build a 30-day plan to develop AI fluency and take a leadership role in your school's AI journey
Would recommend EDNAS training to a colleague
Left feeling confident teaching AI concepts
Average trainer rating across all cohorts
Who Will Benefit
Designed for classroom teachers regardless of subject, phase, or technical background. Level 1 meets you where you are — building confidence, clearing misconceptions, and leaving you with strategies you can apply from the very next lesson.
"Understanding what AI is, and how it works. Almost a 'behind the scenes' of AI — it completely changed how I approach teaching it to my students."
Subject coordinators gain a clear progression model for embedding AI literacy across their curriculum area — with frameworks for mapping concepts across year groups and practical tools to implement immediately.
"The top practical tools for teaching, planning and assessment. What AI is and what it is not — this helped me put everything into perspective and cleared up misconceptions."
IT and EdTech leads build a shared vocabulary and practical framework to lead staff conversations about AI tools, responsible adoption, and safeguarding — equipping you to support colleagues with confidence.
"Great AI resources — a real toolbox. Amazing to see where other schools from around the world are with implementing AI and AI curriculums."
Modules
Foundations of AI for Educators
A non-technical overview of the technology behind AI — what it is and is not, core vocabulary, why AI literacy matters globally, and its current impact on curriculum, assessment, and the teacher's role.
Concepts
- What AI is and is not — core concepts, terminology, and emerging frameworks
- Core vocabulary: prompt, hallucination, bias, LLM, training data, generative AI
- Why AI literacy matters globally — UNESCO, OECD, and national AI strategies
- AI's impact on curriculum, assessment, and the teacher's role
Activity
- Group discussion on current classroom and student AI use in your school
- Surface misconceptions and establish a shared vocabulary for the session
Practical AI Tools for Teaching, Learning and Assessment
Exploration of teacher-friendly AI tools across four categories: lesson planning and resource creation; feedback and marking support; student engagement; and classroom workflow. Includes a structured tool evaluation activity.
Concepts
- Lesson planning, resource creation, and feedback tools
- Student engagement and classroom workflow AI
- Spotlight tools: Khanmigo, Socrative, Teachmate.ai
Activity
- Evaluate real tools against five criteria: what it does, how to use it next week, its main benefit, and its key risks and safeguards
AI Across the Student Journey
A progression model clarifying what AI literacy looks like from early years through to secondary level. Covers classroom activity examples grounded in UNESCO, OECD, and the EDNAS AI Competency Framework.
Student Progression
- Early years / primary: Awareness — "machines follow instructions but they're not like us"
- Middle school: Understanding — "AI learns from data and I need to question what it tells me"
- Secondary: Critical application — "I can evaluate AI's limitations and consider its impact on society"
Also Covers
- Three building-block literacies: digital, data, and computational thinking
- EDNAS AI Competency Framework — five domains
- Four curriculum placement approaches: standalone, embedded, hybrid, cross-curricular
Safety, Ethics and Responsible Use
A safeguarding-focused module addressing real risks while enabling productive AI use. Covers hallucinations, academic integrity, data privacy, deepfakes, and student wellbeing — using real incident examples from schools globally.
Risk Landscape
- Accuracy and hallucinations
- Academic integrity
- Data privacy risks
- Harmful content including deepfakes and AI-generated imagery
- Student wellbeing and AI dependency
Ethical Framework
- Five ethical foundations: fairness, transparency, attribution, human judgment, respect
- Four pillars for building responsible AI users in schools
- School AI policy requirements across six areas
Professional Practice, Leadership and Next Steps
Addresses the teacher's evolving role in an AI-enhanced school — what is changing and what stays the same. Closes with a practical 30-day starting plan and leadership pathways for educators who want to shape AI practice within their school.
Concepts
- What is changing vs. what stays the same in the teacher's role
- Five steps to build AI fluency without needing to be an expert
- Five-question responsible adoption framework
30-Day Starting Plan
- Week 1: Explore — try AI tools for your own tasks
- Week 2: Apply — use AI to support planning or feedback
- Week 3: Discuss — share what you have tried with colleagues
- Week 4: Embed — introduce one AI-informed activity with students
Learning Outcomes
By the end of Level 1, participants will be able to:
- 1AI Foundations for EducatorsDevelop a clear, working understanding of AI including core concepts, key terminology, and emerging frameworks — enabling accurate interpretation of AI's role in curriculum, assessment, and classroom use.
- 2Practical Classroom Use of AIBuild confidence using accessible, teacher-focused AI tools to support planning, differentiation, assessment, and pupil engagement — with emphasis on critical evaluation of outputs and maintaining professional judgment.
- 3AI Literacy Across the CurriculumUnderstand expectations for AI literacy across schooling and embed age-appropriate knowledge, skills, and activities within existing subjects — supporting pupils as thoughtful, capable users of AI.
- 4Safe, Ethical, and Responsible AI UseApply principles of digital safety, ethics, and safeguarding to guide responsible AI use in schools — recognising risks, understanding policy implications, and modelling best practice for pupils and colleagues.