World 08
Technology, AI, computing, media, innovation and emerging systems
The Future World is not screens. It is the beginning of understanding that machines follow instructions people wrote, that a sequence can be changed, and that the tools of a life are invented by somebody. Long before code, children give instructions, sort, sequence, test and debug — in play, in the kitchen, on the floor.
Give the algorithm before the device: three-step instructions, sorting rules, "what happens if we swap these", talking robots made of a child and a caregiver, and honest conversation about what a machine can and cannot know.
Instruction, sequence and debugging.
What should a machine be allowed to decide?
New tools make new work.
The intellectual architecture
Children will not be distinguished by their ability to use these tools — everyone will use them. They will be distinguished by judgement about when the output is wrong, and about what should not be delegated.
Questions worth a childhood
Underneath
Computer science · Data science · Artificial intelligence · Media studies · Cybersecurity
Where it can lead: Computer science, Data science, Machine learning, Cybersecurity, Technology policy, HCI.
Concepts carried here: systems, evidence and inference, scarcity, value and exchange, representation and abstraction, change over time, ethical reasoning — the same ideas recur in other Worlds, which is the point.
0–18, and what changes
Actions have effects
Becomes able to: operates a simple mechanism.
Demonstrated when: Repeats a cause deliberately.
Instructions have an order
Becomes able to: gives three instructions in order.
Demonstrated when: Directs an adult through a route by instruction.
A wrong step breaks the result
Becomes able to: writes a step list.
Demonstrated when: An instruction set someone followed without asking a question.
Faults have locations
Becomes able to: tests parts to isolate a fault.
Demonstrated when: Fixes a fault by testing rather than restarting.
Loops and conditions · Reuse
Becomes able to: generalises a procedure.
Demonstrated when: A program that works on inputs it was not written for.
Structure fits problem · Data has provenance
Becomes able to: chooses a data structure.
Demonstrated when: A project using real data the child sourced and checked.
How a model produces plausible error · Bias in training data
Becomes able to: evaluates an ai output critically.
Demonstrated when: A documented case where the child caught a model being confidently wrong.
Correctness · Interface as argument · Privacy
Becomes able to: ships something someone else uses.
Demonstrated when: A working system with real users and a known limitation.
Efficiency · Accountability · Regulation
Becomes able to: argues what should not be automated.
Demonstrated when: A defended position on an automation decision with real stakes.
Genuine connections
Qualification mapping
All supported systemsSupports preparation
Algorithms, data representation and programming are syllabus content.
Conceptually aligned
The Create performance task matches WSA project evidence in form.
Conceptually aligned
Digital Society's impact analysis aligns with this World's ethical strand.
The World School Atelier does not award, register or guarantee any qualification. These are mappings that show where your child's demonstrated work sits in relation to external frameworks, so that a family can plan. Entry requirements, specifications and recognition change; verify each with the awarding body before making decisions.