01
Learn through making
Pupils build physical or digital prototypes so that sequences, inputs, outputs, rules and decisions can be observed and discussed.
Primary education · Ages 7–11
Young learners explore how intelligent technology works by designing, building and explaining purposeful projects.
CIRC primary programmes introduce artificial intelligence, robotics and digital problem-solving through stories, physical making, visual coding and structured teamwork. The project examples below are representative programme models for schools; they show the learning design and expected evidence without naming institutions or claiming unverified outcomes.
Key Stages 1–2
Project-based learning
Responsible AI
Teacher-ready delivery
01 / Programme approach
Complex ideas made visible, practical and age-appropriate
Children do not begin with abstract machine-learning theory. They begin with questions they can investigate: How does a robot follow instructions? What can a sensor notice? How might a computer make a choice—and when should a person remain responsible?
02
Begin with a human need
Every project has a user, place or purpose. Technology becomes a design material rather than an isolated classroom exercise.
03
Collaborate with clear roles
Children rotate through builder, coder, tester, researcher and communicator roles, learning how different contributions support a team.
04
Explain, test and improve
A successful project is not simply one that works once. Pupils predict behaviour, collect evidence, identify problems and explain an improvement.
02 / Ages 7–8 project
Helpful Classroom Robot
Teams design a small robot or interactive model to support a familiar classroom routine. The project creates an accessible first encounter with computational thinking, engineering design and responsible technology.
Challenge
Identify a useful classroom task
Pupils observe a routine, interview a teacher or classmate and decide whether technology could help with organising, reminding, transporting or signalling.
Build
Create movement, light or sound
Children assemble a simple mechanism and use visual blocks to program a sequence of actions, outputs and pauses.
Think
Compare instructions and decisions
The class distinguishes between following a fixed sequence and responding to an input, then discusses situations that require adult judgement.
Share
Demonstrate through a user story
Teams show who the robot is for, how it works, what could go wrong and one change they made after testing.
03 / Ages 8–10 project
Wildlife Sensor Station
Pupils investigate a local habitat and build a simple sensing system that records environmental conditions. The project connects computing with science, mathematics, geography and environmental responsibility.
Investigate
Ask a question about the habitat
Teams explore questions involving light, temperature, moisture, movement or sound and decide what evidence would be useful.
Measure
Collect and organise sensor data
Children take repeated readings, create tables or charts and notice variation, patterns and possible measurement errors.
Design
Build a protective station
Teams construct a suitable enclosure, position sensors thoughtfully and explain how materials or location could affect the data.
Interpret
Turn readings into a recommendation
Pupils use evidence to suggest a habitat action while recognising that limited data does not provide a perfect answer.
04 / Ages 9–11 project
Robot Rescue Mission
A model emergency zone gives older primary pupils an authentic team challenge. They program a robot to navigate a route, respond to markers or sensor inputs and transport a lightweight object while working within safety and time constraints.
01
Mission planning
Teams analyse the map, identify hazards, decompose the mission and agree a testable sequence of tasks.
02
Coding and debugging
Pupils use repetition, conditionals and sensor events, then diagnose whether failures arise from code, construction or the environment.
03
Engineering trade-offs
Children balance speed, stability, accuracy and payload, learning that improving one feature can affect another.
04
Responsible autonomy
Teams decide which actions the robot may perform independently and when it must stop or request help from a human operator.
05 / Creative AI project
AI Story and Character Studio
Pupils investigate how AI-generated ideas or classifications can support—but should not replace—human creativity. The project combines English, art, computing and media literacy.
Explore
Human and machine contributions
Children compare human-created and machine-assisted suggestions, discussing originality, accuracy, suitability and ownership.
Create
Design a character with clear constraints
Teams develop a character, setting and problem, then use approved tools or rule-based models to generate or classify selected elements.
Check
Question outputs rather than accept them
Pupils look for mistakes, stereotypes, missing context and inappropriate details, documenting what they changed and why.
Publish
Credit sources and explain choices
The final story, animation or interactive scene identifies the tools used and highlights the decisions made by the children.
06 / Smart school project
Design an Intelligent, Sustainable Classroom
Teams examine how sensing, simple rules and automation might reduce waste or improve comfort in a classroom. The emphasis is on evidence, realistic design and the consequences of automated decisions.
01
Energy and environment
Pupils can investigate lighting, temperature, air quality, water or waste through observation and age-appropriate measurement.
02
Input–decision–action
Children model how a sensor reading might trigger an alert or action and test whether the selected rule works in different situations.
03
People and inclusion
Teams interview users and consider whether one automated setting meets everyone’s needs, including pupils with different sensory or accessibility requirements.
04
Prototype and proposal
The project concludes with a model, dashboard or storyboard and an evidence-based recommendation to a school audience.
07 / International team challenge
Local discoveries shared with a partner classroom
Where safeguarding, timetables and partner arrangements permit, a primary project can connect two classrooms in different countries. Pupils investigate a shared theme locally and exchange evidence rather than attempting unrestricted online collaboration.
01
Common challenge brief
Both classes explore the same theme—such as biodiversity, sustainable classrooms or helpful robots—using locally available materials.
02
Structured exchange
Teachers coordinate approved questions, short recordings, diagrams or data summaries through agreed school channels.
03
Compare context
Pupils identify similarities and differences in environment, school routine, design choices and available evidence without treating one approach as universal.
04
Joint showcase
Teams contribute to a moderated online presentation or combined digital exhibition celebrating process, learning and cultural understanding.
08 / Teamwork by design
Every child has a meaningful contribution
Builder
Construction and materials
Assembles, measures and improves the physical design while recording important changes.
Coder
Instructions and logic
Develops the program with the team, predicts behaviour and explains key blocks or rules.
Tester
Evidence and reliability
Runs agreed tests, records what happened and makes sure the team learns from unsuccessful attempts.
Communicator
Users and explanation
Keeps the project connected to its audience and helps every team member prepare the final demonstration.
09 / Learning and assessment
Evidence captures knowledge, practical skill and responsible judgement
01
Computing knowledge
Sequences, events, repetition, conditionals, inputs, outputs, debugging, data representation and age-appropriate ideas about algorithms.
02
Design and engineering
Requirements, mechanisms, materials, measurement, prototyping, controlled testing and iterative improvement.
03
AI and data literacy
Patterns in data, the difference between rules and learning, uncertainty, errors, human oversight and appropriate use.
04
Project evidence
Design journal, annotated code, test table, prototype, individual explanation, team reflection and live or recorded demonstration.
10 / Safety and responsible use
Safeguarding and human responsibility are part of the curriculum
01
Age-appropriate tools
Schools select platforms, accounts, hardware and content suitable for the pupils, curriculum and institutional policies.
02
Privacy by design
Projects minimise personal data, avoid unnecessary identification and teach children not to enter private information into AI systems.
03
Safe physical practice
Teachers establish equipment checks, movement zones, supervised testing and clear stop procedures for classroom robots.
04
Critical digital literacy
Pupils learn that an AI output may be incorrect or unfair and that a trusted adult remains responsible for important decisions.
11 / Delivery for schools
Flexible formats with a clear route to sustained capability
1 day
Discovery workshop
A focused, high-energy project introducing AI and robotics through one challenge and a structured team demonstration.
6–10 sessions
Curriculum project
A complete project sequence with teacher guidance, pupil resources, assessment evidence and progressive technical learning.
One or more terms
Primary pathway
Connected projects across year groups that build vocabulary, coding confidence, engineering independence and responsible-AI understanding.
Capacity building
Teacher development
Planning, facilitation, technical preparation, assessment and troubleshooting support so that school staff can sustain and adapt delivery.
12 / Expected programme outputs
What pupils and schools can retain after the project
01
Student portfolios
Age-appropriate records combining designs, code, data, testing, reflection and explanations of responsible choices.
02
Working demonstrations
Robots, sensor systems, digital stories, interactive models or classroom proposals presented to an authentic audience.
03
Teacher evidence
Observation prompts, knowledge checks, rubrics and project artefacts that make individual and team progress visible.
04
Next-step plan
Recommendations for progression, equipment reuse, curriculum connections, clubs, challenges or international school collaboration.
Build the next programme
Ready to turn AI and robotics into purposeful student work?
We can shape a class project, school pilot, international team or multi-school pathway around your learners.