AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 856 · 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.Which of these is good for training a model? (a) photos in many lights (b) blurry, unclear photos (c) copies of one photo (d) wrong labels
2. 2.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
3. 3.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) many varied examples (d) blurry, unclear photos
4. 4.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
5. 5.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recommending (c) recognising (d) predicting
6. 6.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) follows fixed rules (d) spots patterns in data
7. 7.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) writing a new poem (d) reading number plates
8. 8.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
10. 10.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
11. 11.🎨 An image generator makes a picture from… (a) your password (b) a text description (c) a phone number (d) the weather
12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) making up a story (c) drawing a new picture (d) unlocking with a face
13. 13.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
14. 14.🏷️ 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
15. 15.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a hallucination (d) a summary
16. 16.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
18. 18.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) recommending (c) predicting (d) generating
19. 19.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
20. 20.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
21. 21.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) ask different people (d) check who is missing
22. 22.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
24. 24.True or false: “use one group only” adds to bias. (a) False (b) True
25. 25.True or false: “only one kind of example” is good for training a model. (a) True (b) False
26. 26.Which of these is good for training a model? (a) new data for testing (b) blurry, unclear photos (c) only one kind of example (d) very few examples
27. 27.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
28. 28.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
29. 29.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
30. 30.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
31. 31.🔍 Which is the odd one out? (a) unlocking with a face (b) making up a story (c) predicting rain (d) sorting photos by face
32. 32.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can mix up numbers (c) AI knows everything (d) AI learns from data
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
35. 35.🔍 Which is the odd one out? (a) creating a cartoon (b) inventing a recipe (c) unlocking with a face (d) writing quiz questions
36. 36.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
37. 37.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
38. 38.True or false: “wrong labels” is good for training a model. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) use one group only (d) add more of the same
40. 40.Which of these is a fact about AI? (a) AI always checks facts (b) AI can mix up numbers (c) AI knows everything (d) AI is never wrong

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