AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 153 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) use one group only
2. 2.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) False (b) True
3. 3.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
4. 4.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can be wrong (c) AI can make up facts (d) confident means correct
5. 5.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) checking labels twice (d) labels added at random
6. 6.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
7. 7.Which of these is generative AI (it makes something new)? (a) spotting spam (b) turning speech to text (c) drawing a new picture (d) predicting rain
8. 8.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
9. 9.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
10. 10.Which of these is a fact about AI? (a) long answers are true (b) AI knows everything (c) AI can mix up numbers (d) confident means correct
11. 11.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
12. 12.Which of these is not AI? (a) an image generator (b) voice typing (c) photos grouped by face (d) a calculator
13. 13.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
15. 15.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
16. 16.True or false: “never learns from data” describes how AI works. (a) True (b) False
17. 17.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
19. 19.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
20. 20.Which of these is bad for training a model? (a) checking labels twice (b) testing on training data (c) photos in many lights (d) many varied examples
21. 21.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
22. 22.True or false: “long answers are true” is a fact about AI. (a) False (b) True
23. 23.🎨 An image generator makes a picture from… (a) a text description (b) the weather (c) your password (d) a phone number
24. 24.🔍 Which is the odd one out? (a) spotting a sick leaf (b) suggesting a video (c) creating a cartoon (d) turning speech to text
25. 25.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
26. 26.🔍 Which is the odd one out? (a) a calculator (b) a printed timetable (c) an image generator (d) a fan regulator
27. 27.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) follows fixed rules (d) learns from examples
28. 28.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
29. 29.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) automatic internet (d) app installer
30. 30.🔍 Which is the odd one out? (a) a digital watch (b) a spam filter (c) a torch (d) a stopwatch
31. 31.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) copies of one photo (d) many varied examples
32. 32.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
33. 33.Which of these is a fact about AI? (a) AI has real feelings (b) AI knows everything (c) AI can be wrong (d) AI always checks facts
34. 34.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) correct labels (d) wrong labels
36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
37. 37.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) recognising (c) predicting (d) generating
38. 38.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) handles unseen examples (d) same steps every time
39. 39.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) checking labels twice (d) only one kind of example

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