AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 520 · 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: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
2. 2.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
3. 3.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a text description (d) a phone number
4. 4.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
5. 5.Which of these describes how a normal program works? (a) gives a likely answer (b) spots patterns in data (c) makes a best guess (d) does exactly as coded
6. 6.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) the learned patterns
7. 7.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
8. 8.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) many varied examples (d) testing on training data
9. 9.Which of these is good for training a model? (a) very few examples (b) correct labels (c) wrong labels (d) only one kind of example
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
11. 11.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
12. 12.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) a basic calculator (d) face unlock
13. 13.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
14. 14.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
15. 15.Which of these is good for training a model? (a) new data for testing (b) only one kind of example (c) blurry, unclear photos (d) testing on training data
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
17. 17.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
18. 18.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) an image (c) music or sound
19. 19.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) the trained program (d) naming a new fruit photo
20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) ignore complaints (d) skip testing
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
22. 22.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
23. 23.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
24. 24.True or false: “typing a new spoken word” is the model. (a) True (b) False
25. 25.Which of these is a myth about AI? (a) AI can be wrong (b) AI learns from data (c) AI copies data patterns (d) AI always checks facts
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
27. 27.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
28. 28.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
29. 29.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
30. 30.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) False (b) True
31. 31.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
32. 32.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
33. 33.True or false: “what training builds” is a prediction. (a) True (b) False
34. 34.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
35. 35.True or false: “long answers are true” is a fact about AI. (a) False (b) True
36. 36.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) follows fixed rules (d) does exactly as coded
37. 37.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
38. 38.💬 What do we call the request you type to a generative AI? (a) a password (b) a label (c) a prompt (d) a battery
39. 39.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
40. 40.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart

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