Teachers open a web browser or iOS app and land in a coding canvas that enables students work without creating accounts. Everything saves locally, which means less admin hassle but also means work disappears if someone clears browser data or switches devices.
The interface offers block coding with either words or icons, letting younger kids drag visual blocks while older students read text-based commands. Teachers enter a lesson PIN to pull up pre-built starter code and jump straight into a 45-minute activity. No hunting through file systems or dealing with complicated project setup.
Students build physical structures with LEGO bricks from grade-specific kits, then code behaviors and responses. A Year 2 class might program a simple sequence to make a model move, while Year 8 students work with variables and functions to create more complex interactions. The curriculum spans Years 1 through 9, introducing hardware basics early and building toward AI concepts like classification and data exploration in later years.
The Teacher Portal houses presentation slides, facilitation notes, and getting-started materials organized by lesson. Everything's mapped to curriculum standards, so teachers can see exactly which computing concepts each activity covers. This structure works well for educators new to computer science, though experienced teachers might find the prescribed lesson flow restrictive.
When students outgrow block coding, they can switch to Python through a dedicated package that works with any IDE like VS Code. The transition isn't smooth since it's a completely different environment, not just a toggle within the same interface. Students need to understand how to set up an IDE, which adds friction.
This system connects with FIRST LEGO League for project-based learning, letting classrooms extend activities beyond the core curriculum. But the reliance on physical LEGO kits means schools need to budget for hardware beyond software access. A classroom can't just sign up and start using it tomorrow without the corresponding brick sets and electronic components.
The AI literacy components focus on classification tasks and exploring datasets, giving students hands-on experience with how machines learn patterns. This isn't about using AI tools but understanding foundational concepts through experimentation. Teachers report that 73% of them consider computer science as critical as traditional core subjects, and the hands-on LEGO approach addresses the gap where 77% say traditional tools reward students who already have coding experience.
The local-only save system remains the biggest practical hurdle. Students can't easily work from home and pick up where they left off at school.
