Coding, Robotics and AI for Kids: A Year-by-Year Guide for Australian Parents

Children growing up in Australia today will work alongside technologies that barely existed when their parents were at school. Coding, robotics and artificial intelligence are no longer niche hobbies. They're becoming part of everyday literacy. This guide explains what the curriculum expects, what children can realistically learn at each age, and what to look for in a program.

What the curriculum says

In Australia, Digital Technologies sits within the Technologies learning area of the Australian Curriculum. From Foundation to Year 10, students learn about digital systems, how data is represented, and how to design algorithms, moving from visual programming in primary school to general-purpose programming languages in secondary school.

The core idea is simple: children should be creators of technology, not just users of it.

A year-by-year pathway

Every child is different, but this progression works well for most.

Years 3–4: building blocks

Students start with block-based visual coding, dragging and connecting commands to make characters and simple robots move. The focus is on sequencing, loops and debugging (finding and fixing mistakes), which builds persistence and logical thinking.

Explore our Foundation Level (Years 3–4) program.

Years 5–6: making things move

Students move to microcontrollers and sensors, programming devices that respond to light, distance and touch. They meet variables, conditions and simple electronics, and start designing solutions to real problems.

See our Innovator Level (Years 5–6) program.

Years 7–8: real programming languages

Students transition to text-based programming, typically Python, and apply it to more complex robotics projects. They learn to structure larger programs, work with data and test their code systematically.

See our Developer Level program.

Years 8 and beyond: understanding AI

Older students learn how AI actually works. That means how machine-learning models learn from data, why they make mistakes, and how bias creeps in. They then build simple AI projects themselves. This turns AI from something mysterious into a tool they understand and can question.

See our AI Builder Level program.

Why robotics works so well for learning

Robotics makes abstract ideas physical. When a robot turns the wrong way, a child immediately sees the bug, forms a hypothesis and tests a fix: the scientific method in miniature. Robotics also reinforces maths through angles, measurement and coordinates, and builds teamwork and communication through group projects.

What to look for in a coding, robotics or AI program

• Hands-on projects rather than screen time alone
• A clear progression from visual blocks to real programming languages
• Small classes, so every child gets help when they're stuck
• Qualified, safety-checked instructors. See our checklist on how to choose a tutor.
• Problem solving over memorising, with children designing their own solutions
• Responsible AI, including discussion of ethics, privacy and limitations

Getting started at home

• Explore free block-based coding tools together on a weekend.
• Try unplugged activities: write "algorithms" for making a sandwich or getting to school.
• When using AI chat tools, talk about how they might be wrong and how to check information.
• Celebrate debugging. Fixing a mistake is the real skill.

Explore MeritVy Robotics & AI

MeritVy's Code to AI Pathway takes students from their first block-based program in Year 3 through to building machine-learning projects, in small classes led by specialist STEM tutors. Find a centre near you or book a FREE assessment to find the right starting level.