Standard difficulty · 20 questions · 40 marks · Time: 36 minutes
Show your working for Sections B and C. Answers are on the last page — try every question first!
Introduction to AI and Everyday Examples · AW-6CT-AIE-2026-V1 · For parents — fold back or tear off before handing the sheet to your child.
| Q | Answer | Working |
|---|---|---|
| 1 | (d) do tasks that usually need human thinking, like recognising or deciding | — |
| 2 | (a) a voice assistant that answers spoken questions | — |
| 3 | (c) a school bell that rings at set times | — |
| 4 | (a) supervised learning | — |
| 5 | (c) checking thousands of photos without getting tired | — |
| 6 | (c) sorts unwanted emails away | — |
| 7 | (d) 80% | 20 ÷ 25 × 100 |
| 8 | (a) 63 | 3 × 23 − 2 × 3 |
| 9 | The ability of a machine or computer program to do tasks that normally need human intelligence, such as recognising pictures, understanding speech or making predictions. | — |
| 10 | (a) automation (b) automation | — |
| 11 | (a) reinforcement learning (b) reinforcement learning | — |
| 12 | 1 | 10 − 9 |
| 13 | 50% | 10 ÷ 20 × 100 |
| 14 | 76 | 8 × 11 − 4 × 3 |
| 15 | (a) machines (b) machines | — |
| 16 | (a) predicts rain from patterns in past data (b) changes text from one language to another | — |
| 17 | Automation follows fixed rules: a street light that switches on at 6 p.m., an automatic door. AI learns from data: a maps app that predicts traffic, a camera that recognises faces. AI can handle new cases; automation cannot change its rule. | — |
| 18 | (a) 159; (b) 84% | (a) 9 × 21 − 5 × 6; (b) 21 ÷ 25 × 100 |
| 19 | (a) unsupervised learning (b) reinforcement learning (c) supervised learning | — |
| 20 | (a) predicts rain from patterns in past data (b) recognises faces and scenes (c) sorts unwanted emails away | — |