A complete AI literacy curriculum.
From first principles to
real-world application.
A structured, year-by-year AI literacy programme for Primary and Secondary built to the standards of international education. Every lesson fully resourced and ready to teach.
Explore the curriculum with our Education team. Start with 7 days of free access. No commitment required. We'll walk you through the curriculum and resources before you decide.Every lesson includes a teacher presentation, student activities, vocabulary support, and delivery notes. Nothing requires preparation beyond opening the resource hub.
One connected progression.
Two clear stages.
The Learning Journey
The EDNAS curriculum is designed as a single learning journey concepts introduced in Primary are deepened and interrogated in Secondary.
Schools can start at either stage. Every year group is self-contained.
Students begin to understand what AI is, how it makes decisions, and why it matters in their daily lives. Learning is hands-on, inquiry-based, and grounded in real-world examples appropriate to each age group.
"Our students are loving this addition to their learning and staff have commented on the quality of the curriculum itself."
Students move from foundational concepts to deeper examination of how AI systems are built, how they influence society, and how to evaluate them critically. Learning becomes more technical, more ethical, and directly connected to real-world impact.
"Secondary builds directly on Primary foundations. Schools introducing EDNAS at Secondary begin with age-appropriate scaffolding built in — no prior Primary exposure required."
What students learn across both stages
AI Competency Framework
Five domains run from Primary through Secondary growing in depth and complexity as students progress.
AI Concepts & Systems
What AI is, how systems are designed, capabilities and limits in real-world contexts.
Computational Thinking & Data Literacy
How AI processes information. Working with data responsibly. Identifying bias.
AI Design & Problem-Solving
Designing and evaluating AI solutions. Assessing appropriateness, accuracy, fairness.
Ethics, Impact & Responsible Use
Privacy, fairness, automation, accountability. Structured ethical reasoning at every stage.
Communication, Collaboration & Citizenship
Communicating AI concepts clearly. Contributing to civic conversations about AI's role.
Built for real classrooms
and real timetables
Each year group follows a 12-week term structure. Nine lessons across three progressive projects, two revision weeks, one assessment week. Every lesson includes a teacher presentation, student activities, vocabulary support, and delivery notes. Nothing requires preparation beyond opening the resource hub.
Curriculum Structure
Step-by-step slides ready to open and deliver. No design work required.
Age-appropriate definitions that remove the language barrier.
Hands-on exercises connecting AI concepts to real-world contexts.
End-of-term review addressing misconceptions before moving on.
Pre-built assessments tied to learning objectives. No design work required.
See what a lesson looks like before you commit
Every lesson arrives as a complete, ready-to-present slide deck. Delivery notes, discussion prompts, and activity instructions are built in — teachers open it, follow it, and deliver.
Request a sample lessonBuilding the Knowledge
Three project-based units per term, each with detailed objectives, clear success criteria, and targeted competencies. Learning deepens each term through themes that layer fresh dimensions onto prior understanding.
- What are smart machines?
- How do they help us?
- Invent a smart machine!
- What do machines know?
- Think like a machine
- When things go wrong...
- Design a smart helper
- Build and explain the smart helper
- Present, reflect & improve...
- Sorting like a robot
- Smarter Sorting
- Patterns and mini machines
- Machines learn like us
- Giving good examples
- Machine mistakes & Fixing them
- Oops! The machine got it wrong..
- Why did it make a mistake?
- Let's help the machine get better
- Talk to the machine
- Did the machine understand me?
- Let's design a voice assistant
- Commands & Responses
- Teach your voice assistant
- Giving smart commands
- How Do We Talk to People and Machines?
- Feelings, Robots, and Kind Words
- Our Tech Talk
Cross-curricular by design
Lessons link directly to subjects teachers already deliver — science, mathematics, language arts, social studies, and design. AI learning happens in context, not in isolation.
Spiral learning methodology
Students revisit AI concepts with increasing depth across years, building robust understanding. Students who join later are not disadvantaged — each year group is self-contained and progressive.
Hands-on & inquiry-based
Students simulate AI processes rather than just learn about them. Collaborative projects, ethical debates, and real-world problem-solving scenarios are built into every unit — not added as extras.
UNESCO & OECD alignment
EDNAS meets international benchmarks — UNESCO AI competency guidelines, OECD frameworks, and PISA 2029 — while remaining practical for British, IB, and American curriculum traditions worldwide.
Take a walkthrough of the resource hub exactly what your teachers would see from day one.
See it before you commit.
Common questions
-
Yes. Every lesson is fully scripted and resource-ready. Subject teachers across all disciplines have delivered EDNAS without any technical background. The vocabulary guide and delivery notes remove the expertise barrier entirely.
-
No. Each year group is self-contained with age-appropriate foundations built in. A student joining in Year 5 or Year 8 starts from the right place for their stage.
-
No. EDNAS is tool-agnostic. The curriculum teaches AI concepts, it does not require students to use any specific AI product. Schools use whatever technology they already have.
-
EDNAS is currently available in English. An Arabic version is in development and will be available for the 2026–2027 school year.
-
The 12-week term structure is designed to slot into existing lesson time. Cross-curricular links mean AI concepts are taught alongside subjects already on the timetable, not in addition to them.
