AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 925 · 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.True or false: “what training builds” is training data. (a) True (b) False
2. 2.True or false: “recorded spoken words” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
4. 4.Which of these is a myth about AI? (a) AI copies data patterns (b) AI always checks facts (c) AI answers need checking (d) AI can mix up numbers
5. 5.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) the learned patterns (d) typing a new spoken word
6. 6.True or false: “labels added at random” is good for training a model. (a) False (b) True
7. 7.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
8. 8.Which of these is good for training a model? (a) labels added at random (b) clear, sharp examples (c) wrong labels (d) copies of one photo
9. 9.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
10. 10.True or false: “same steps every time” describes how AI works. (a) True (b) False
11. 11.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
12. 12.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) no, it follows rules (d) yes, it is smart
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
15. 15.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
16. 16.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) many varied examples (d) labels added at random
17. 17.Which of these is bad for training a model? (a) checking labels twice (b) testing on training data (c) photos in many lights (d) new data for testing
18. 18.🔍 Which is the odd one out? (a) AI knows everything (b) AI answers need checking (c) AI can be wrong (d) AI copies data patterns
19. 19.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) correct labels (d) testing on training data
20. 20.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) ask it to repeat (d) look in your textbook
21. 21.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
22. 22.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
23. 23.True or false: “learns from examples” describes how AI works. (a) True (b) False
24. 24.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) predicting (c) generating (d) recommending
25. 25.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) same steps every time (d) improves with more data
26. 26.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
27. 27.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) printing (d) charging
28. 28.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
29. 29.True or false: “never learns from data” describes how AI works. (a) False (b) True
30. 30.True or false: “one set rule per case” describes how AI works. (a) True (b) False
31. 31.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
32. 32.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) singing (d) predicting
33. 33.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can mix up numbers (c) confident means correct (d) AI can be wrong
35. 35.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) photos in many lights (d) very few examples
36. 36.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) copy old unfair choices (d) skip testing
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
38. 38.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
40. 40.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the trained program (d) naming a new leaf

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