AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 741 · 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.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) guess (d) ask it to repeat
2. 2.True or false: turning your spoken words into typed text is AI generating something new. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) copies of one photo (d) examples of every type
4. 4.Which of these is training data? (a) the trained program (b) flagging a new email (c) past weather records (d) the learned patterns
5. 5.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) generating (c) predicting (d) recognising
6. 6.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drafting a letter (c) reading number plates (d) drawing a new picture
8. 8.Which of these describes how AI works? (a) handles unseen examples (b) follows fixed rules (c) one set rule per case (d) never learns from data
9. 9.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
10. 10.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
12. 12.Which of these describes how AI works? (a) same steps every time (b) learns from examples (c) follows fixed rules (d) never learns from data
13. 13.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) test on many groups (d) add varied examples
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
15. 15.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
16. 16.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) long answers are true (d) AI can mix up numbers
17. 17.🔍 Which is the odd one out? (a) drawing a new picture (b) reading number plates (c) predicting rain (d) suggesting a video
18. 18.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
19. 19.Which of these describes how a normal program works? (a) gives a likely answer (b) never learns from data (c) handles unseen examples (d) makes a best guess
20. 20.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI can make up facts (d) AI knows everything
22. 22.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) music or sound (c) text
23. 23.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
24. 24.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) makes a best guess (d) same steps every time
25. 25.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
27. 27.Which of these is a fact about AI? (a) AI is never wrong (b) long answers are true (c) AI has real feelings (d) AI copies data patterns
28. 28.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) recommending (c) predicting (d) generating
29. 29.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
30. 30.📚 Usually, more good examples make a model… (a) better at its task (b) slower to switch on (c) forget everything (d) change colour
31. 31.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
32. 32.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add more of the same (d) copy old unfair choices
33. 33.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) copy old unfair choices (d) ignore complaints
34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
35. 35.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) old emails marked spam
36. 36.Which of these is a fact about AI? (a) AI can be wrong (b) AI knows everything (c) AI has real feelings (d) confident means correct
37. 37.True or false: “add more of the same” helps reduce bias. (a) True (b) False
38. 38.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
39. 39.True or false: an online shop showing “you may also like” is AI generating something new. (a) False (b) True
40. 40.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough

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