AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 48 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
2. 2.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) clear, sharp examples (d) wrong labels
3. 3.Which of these is good for training a model? (a) wrong labels (b) many varied examples (c) labels added at random (d) copies of one photo
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
5. 5.True or false: “checking labels twice” is good for training a model. (a) False (b) True
6. 6.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) the trained program (d) past weather records
7. 7.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) never do maths (d) copy it straight away
8. 8.True or false: “makes a best guess” describes how AI works. (a) False (b) True
9. 9.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
10. 10.True or false: “long answers are true” is a myth about AI. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) a calculator (b) a kitchen weighing scale (c) a light switch (d) photos grouped by face
12. 12.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
13. 13.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
15. 15.Which of these is a fact about AI? (a) confident means correct (b) AI can make up facts (c) AI always checks facts (d) AI is never wrong
16. 16.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
17. 17.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
19. 19.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
20. 20.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI can mix up numbers (d) AI has real feelings
21. 21.Which of these uses AI? (a) an AI chatbot (b) a light switch (c) a digital watch (d) a stopwatch
22. 22.Which of these uses AI? (a) video suggestions (b) a light switch (c) a calculator (d) a printed timetable
23. 23.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
24. 24.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) text (c) music or sound
25. 25.Which of these is a fact about AI? (a) AI learns from data (b) long answers are true (c) AI always checks facts (d) AI knows everything
26. 26.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
27. 27.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on many groups (d) skip testing
28. 28.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
29. 29.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI always checks facts (d) AI copies data patterns
30. 30.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
31. 31.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) unlocking with a face (c) creating a cartoon (d) turning speech to text
32. 32.Which of these describes how AI works? (a) never learns from data (b) spots patterns in data (c) one set rule per case (d) does exactly as coded
33. 33.Which of these is bad for training a model? (a) photos in many lights (b) wrong labels (c) many varied examples (d) correct labels
34. 34.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
35. 35.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
36. 36.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
37. 37.Which of these is good for training a model? (a) very few examples (b) correct labels (c) copies of one photo (d) labels added at random
38. 38.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
39. 39.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
40. 40.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training

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