AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 148 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
3. 3.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
4. 4.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) photos in many lights (d) correct labels
5. 5.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) True (b) False
6. 6.True or false: “past weather records” is the model. (a) False (b) True
7. 7.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
8. 8.Which of these is good for training a model? (a) new data for testing (b) labels added at random (c) blurry, unclear photos (d) testing on training data
9. 9.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) follows fixed rules (d) learns from examples
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
11. 11.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
12. 12.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
14. 14.Which of these describes how a normal program works? (a) makes a best guess (b) handles unseen examples (c) spots patterns in data (d) never learns from data
15. 15.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing a new poem (c) suggesting a video (d) creating a cartoon
17. 17.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
18. 18.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
20. 20.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
22. 22.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
24. 24.🔍 Which is the odd one out? (a) a fan regulator (b) a spam filter (c) photos grouped by face (d) an AI chatbot
25. 25.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
26. 26.Which of these is bad for training a model? (a) new data for testing (b) labels added at random (c) correct labels (d) many varied examples
27. 27.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) no, it follows rules (d) yes, it can think
28. 28.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) balance the data (d) fix wrong labels
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
30. 30.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
31. 31.True or false: an AI chatbot writing a story about a lost kite is AI recommending something. (a) True (b) False
32. 32.True or false: “old emails marked spam” is training data. (a) False (b) True
33. 33.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
35. 35.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
36. 36.Which of these describes how AI works? (a) follows fixed rules (b) improves with more data (c) same steps every time (d) does exactly as coded
37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) blurry, unclear photos (c) new data for testing (d) correct labels
38. 38.True or false: a video app suggesting what to watch next is AI generating something new. (a) True (b) False
39. 39.True or false: “many varied examples” is bad for training a model. (a) True (b) False
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam

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