AI in everyday life
AI in everyday life shows up in recommendations, voice assistants, camera filters, spam folders and maps. Hunting for it around the house is genuinely eye-opening.
Artificial intelligence is not coming. It is already in the room, and it has been for years.
Before using AI, students learn to notice it. The video that autoplays next, the face unlock on a phone, the map that reroutes around traffic — all of it is AI already woven into daily life. This module builds awareness first, then adds the safety habits that make everything afterwards sensible.
Children already live surrounded by AI. Naming it turns a passive user into someone who can ask why a system did what it did.
Three core ideas, each taught with worked examples and then practised until it feels obvious.
AI in everyday life shows up in recommendations, voice assistants, camera filters, spam folders and maps. Hunting for it around the house is genuinely eye-opening.
Humans and machines are good at different things. Machines are fast, tireless and consistent. Humans understand meaning, care about consequences and know when something feels wrong.
Safe sign-in habits come first: strong passwords, no personal details in a chat box, and always asking an adult before creating an account anywhere.
The term “artificial intelligence” was coined in 1956 at a summer workshop where the organisers expected the problem to be largely solved within a couple of months.
“AI thinks like a person.” It does not think at all. It finds patterns in enormous amounts of data — which is powerful, and completely different.
Sessions 1–8 of the 72-session year, at two one-hour sessions per week.
Where this module fits, what you will build, and a hands-on starter that gets everyone curious about ai in everyday life.
Guided teaching on ai in everyday life, worked through together with the teacher.
Independent practice, small challenges and one deliberate mistake to diagnose.
Guided teaching on human vs machine strengths, building directly on the previous two sessions.
Applied tasks that combine ai in everyday life and human vs machine strengths in one piece of work.
Safe sign-in habits introduced and practised, completing the toolkit needed for the project.
Guided build session for the module project: "My AI Around Me" discovery map.
Finish, test against the checklist, present the work and explain the decisions behind it.
Every module ends with something the student built themselves and can demonstrate. This is the piece that goes into their portfolio and gets explained out loud at the end of session 8.
Spend one day counting every AI system you use. Most students find between ten and thirty before dinner.
Students finishing Module 1 can:
The vocabulary introduced here, in plain language:
6 quick questions drawn from this module — vocabulary, the project you build, and a myth-or-fact round. Every wrong answer explains itself, so a mistake still teaches you something.
Tell us your child’s class and what they enjoy. We will suggest the closest program fit—no pressure and no upfront payment.