AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 33 · 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.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
2. 2.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
4. 4.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
5. 5.Which of these is not AI? (a) photos grouped by face (b) a map predicting traffic (c) a calculator (d) face unlock on a phone
6. 6.True or false: “add varied examples” helps reduce bias. (a) True (b) False
7. 7.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
8. 8.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
10. 10.🎨 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
11. 11.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
12. 12.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
14. 14.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) makes new content (d) charges batteries
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
16. 16.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
17. 17.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
18. 18.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
19. 19.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recommending (b) predicting (c) generating (d) recognising
20. 20.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
21. 21.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
22. 22.Which of these adds to bias? (a) test on one group only (b) balance the data (c) check who is missing (d) add varied examples
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
24. 24.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) recognising (c) generating (d) predicting
25. 25.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
26. 26.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
27. 27.True or false: “labels added at random” is bad for training a model. (a) False (b) True
28. 28.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) recorded spoken words (d) flagging a new email
29. 29.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recommending (c) recognising (d) predicting
30. 30.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) photos in many lights (d) blurry, unclear photos
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) ignore complaints (d) skip testing
32. 32.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
33. 33.Which of these uses AI? (a) a microwave timer (b) a calculator (c) a torch (d) face unlock on a phone
34. 34.True or false: “use one group only” helps reduce bias. (a) False (b) True
35. 35.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
36. 36.Which of these describes how a normal program works? (a) learns from examples (b) same steps every time (c) gives a likely answer (d) improves with more data
37. 37.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a password (d) a summary
38. 38.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) handles unseen examples (d) uses rules people wrote
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
40. 40.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) text (c) music or sound

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