AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 335 · 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: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
2. 2.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
3. 3.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
4. 4.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) ask it to hurry (d) check it on paper
5. 5.Which of these is a myth about AI? (a) AI copies data patterns (b) AI learns from data (c) AI can make up facts (d) AI has real feelings
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
8. 8.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
9. 9.🎨 An image generator makes a picture from… (a) a text description (b) a phone number (c) your password (d) the weather
10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
11. 11.True or false: “long answers are true” is a fact about AI. (a) True (b) False
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
15. 15.🏷️ 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
16. 16.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
17. 17.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) uses rules people wrote (d) gives a likely answer
19. 19.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
20. 20.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) recorded spoken words
21. 21.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
22. 22.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) text (c) an image
23. 23.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
24. 24.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
25. 25.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) making up a story (b) composing a new tune (c) reading number plates (d) drawing a new picture
27. 27.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
28. 28.🔍 Which is the odd one out? (a) confident means correct (b) long answers are true (c) AI answers need checking (d) AI always checks facts
29. 29.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
30. 30.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) examples of every type (d) only one kind of example
31. 31.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing
32. 32.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) add varied examples (d) test on many groups
33. 33.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
34. 34.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) typing a new spoken word (d) past weather records
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
36. 36.Which of these is a myth about AI? (a) AI can be wrong (b) AI copies data patterns (c) AI learns from data (d) AI is never wrong
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
39. 39.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
40. 40.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recognising (c) generating (d) recommending

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