for all ages

The Education AI Curriculum covers Computational Thinking, Programming, and Robotics, for students from aged 6 up to 18. The Curriculum hasbeen developed by computer scientists and SME teachers, and is fully mapped to the National Curriculum for England, Wales and Ireland.

The Curriculum has topics increasing in difficulty and in
depth and breadth as students progress, and expands
to include applications of computing and digital literacy.

It is also granular, being built from individual
Learning Objectives together with a detailed
set of prerequisite knowledge.

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- for primary schools

No jargon needed!

Education AI Primary Curriculum provides teachers with the option of a completely unplugged curriculum or a combination of online and offline curriculum. Teaching Aids helps students build a solid foundation in not only computing but it also encourages communication, collaboration and creativity.

The Curriculum itself is Learning Objective based, and made up of more than 1000 Learning Objectives, which are connected to concepts, questions, activities and other elements of the learning process. Designed to be progressive, the curriculum allows teachers can go back along the same learning path if a student does not understand a particular concept or
needs more practice on foundational skills.


Give it a try!
Secondary Schools
- intelligent approach

The Secondary Curriculum focuses on required knowledge in A-Level and GCSE Computer Science exams, broken down into bite sized chunks or Learning Objectives. These Learning Objectives are mapped to exercises – unplugged and online – including questions and coding activities. Education Al’s coding platform is integrated with our curriculum, measuring requirements from different exam boards. Our Computational Thinking Coding, and Robotics based Curriculum goes from Key Stage 1 through to A-level and beyond.

Similar to how students learn Maths and English, Computer Science concepts are built up from easy to difficult. Students joining at KS3 often have mixed levels of knowledge in Computer Science. The METIS system helps teachers diagnose knowledge gaps, in order to boost students excm score.

Our Curriculum is based on individual Learning Objectives, with relationships defined between them based on prerequisite and related knowledge. While pre-designed teaching paths are available for various qualifications and exams, teachers are also able to create their own paths suitable for their students and classes.

Computational THinking
- why is it important?

Computational Thinking is a basic competence that exists in all areas of our lives. Computational Thinking includes important transferable skills, such as problem solving, logical thinking, non-verbal reasoning, and thinking about cause and effect. These skills are not just for children but adults too.

Computational Thinking is in many ways the hidden skill set that many careers rely on – from law, to engineering, medicine, art, and many more. It influences everything that we do in our lives. Computational Thinking is set to become more essential in the future as we transition to a digital world.

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