Support
A dedicated support section sits on the LEGO Education site, and schools can reach out to a local reseller for product advice.
Learn moreLEGO Education Computer Science & AI
Hands-on computer science and AI lessons built around LEGO bricks and code
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What is LEGO Education Computer Science & AI?
LEGO Education Computer Science & AI is a courses tool. A curriculum-aligned classroom programme that combines LEGO kits, a browser coding canvas and a teacher portal to teach computer science and AI literacy across Years 1 to 9.
LEGO Education Computer Science & AI is a classroom solution that pairs physical LEGO kits with a browser-based coding environment and a teacher planning portal. It is aimed at primary and lower secondary pupils, split across three grade bands (Year 1-3, Year 4-6 and Year 7-9), and at the teachers who have to deliver computer science and AI content even when it sits outside their own subject background. Each band has its own kit, so the hardware and the difficulty of the building tasks scale with the age group. The teaching model is built around short, structured lessons. LEGO states that its curriculum-aligned lessons are designed to run in roughly 45 minutes, which makes them practical to slot into a normal timetable. The Teacher Portal holds the lesson plans, facilitation notes, classroom presentations and getting-started material in one place, and a scope and sequence maps the progression from basic sequences and pseudocode through events, loops, conditionals, variables and functions, ending with AI and data work where students explore how computers classify information and learn from data. Lessons are enquiry-based rather than answer-driven, a direct response to the finding in LEGO's own survey that most teachers think traditional computer science tools reward the right answer over critical thinking. On the student side, the Coding Canvas is the coding surface. It offers block coding with either words or icons, gives each lesson a coding palette and starter code, and uses lesson PINs so pupils can jump straight to the right activity. It runs in a web browser or an iOS app, requires no student logins and saves work locally to the device. For Year 7-9 and more confident coders, a documented Python package lets models be driven from text-based code inside any local IDE such as VS Code, which opens up third-party Python libraries and deeper AI experiments. Where it fits: this is not a general purpose AI tool for generating content. It is a curriculum product, sold as physical kits through local resellers rather than as a self-serve subscription, and it competes with other classroom robotics and computing platforms. Schools already running FIRST LEGO League can extend the same hardware into project-based competition work.
How do you use LEGO Education Computer Science & AI?
1Pick the kit for your year group
Match your class to the right band: Year 1-3, Year 4-6 or Year 7-9. Each kit carries the bricks and hardware needed for that progression, so choose before planning lessons.2Contact a local reseller
Kits are not sold directly from the site. Use the reseller finder to locate a supplier in your region and confirm availability for the band you need.3Open the Teacher Portal
Sign in to the Teacher Portal to reach the curriculum overview, facilitation notes, getting-started material and classroom presentations for your band.4Run a lesson in the Coding Canvas
Launch the canvas in a browser or the iOS app, enter the lesson PIN to pull up the matching palette and starter code, then let pupils build and test. Work saves locally on the device.5Move up to Python
For older or more confident students, install the documented Python package and open it in a local IDE such as VS Code to drive the same models with text-based code.6Extend into competition work
If you want project-based challenges beyond the standard lessons, look at FIRST LEGO League to run teams and annual themed challenges with the same hardware.
Pros and cons
Pros
- Three grade-banded kits cover Year 1-3, Year 4-6 and Year 7-9 with a clear progression from sequences to functions and AI classificationAI
- Lessons are designed as 45-minute, curriculum-aligned sessions, which keeps planning and classroom management manageableAI
- Coding Canvas needs no student logins and saves locally, removing account setup and data handling work for teachersAI
- Block coding with word or icon labels gives non-readers and beginners an entry point before text-based codingAI
- Documented Python package with any local IDE makes the jump to real code and third-party libraries straightforwardAI
Cons
- Physical kits must be bought through a reseller, so there is no way to trial the full product before committing budgetAI
- The tool is tied to LEGO hardware; without the correct band kit, the coding canvas and lessons lose most of their purposeAI
- No student accounts means work stays on one device, which complicates handover between classes, shared devices and teacher reviewAI
- Python work requires local IDE setup, putting more of a technical burden on teachers than the browser canvas doesAI
- The content stops at Year 9, so secondary schools beyond that age group need a different platformAI
How much does LEGO Education Computer Science & AI cost?
Integrations
A documented Python package works with any local Integrated Development Environment, with VS Code given as an example, and can draw on third-party Python libraries.
Features
Grade-banded kits for Year 1-3, Year 4-6 and Year 7-9, a curriculum-aligned scope and sequence of enquiry-based 45-minute lessons, a Teacher Portal with facilitation notes and classroom presentations, a Coding Canvas with word or icon block coding and lesson PINs, no student logins with local saving, AI literacy lessons on classification and data, and a documented Python package for use in any local IDE.
Frequently asked questions about LEGO Education Computer Science & AI
How do you use LEGO Education Computer Science & AI?
The walkthrough on this page covers 6 steps: 1. Pick the kit for your year group 2. Contact a local reseller 3. Open the Teacher Portal 4. Run a lesson in the Coding Canvas 5. Move up to Python 6. Extend into competition work.What platforms does LEGO Education Computer Science & AI support?
LEGO Education Computer Science & AI is available on Web App and iOS.What does LEGO Education Computer Science & AI integrate with?
A documented Python package works with any local Integrated Development Environment, with VS Code given as an example, and can draw on third-party Python libraries.What are the limitations of LEGO Education Computer Science & AI?
Physical kits must be bought through a reseller, so there is no way to trial the full product before committing budget. The tool is tied to LEGO hardware; without the correct band kit, the coding canvas and lessons lose most of their purpose. No student accounts means work stays on one device, which complicates handover between classes, shared devices and teacher review.
