AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 423 · 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 does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
2. 2.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
3. 3.Which of these describes how AI works? (a) same steps every time (b) makes a best guess (c) never learns from data (d) follows fixed rules
4. 4.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
5. 5.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
7. 7.Which of these is generative AI (it makes something new)? (a) predicting rain (b) unlocking with a face (c) composing a new tune (d) spotting a sick leaf
8. 8.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI learns from data (c) AI has real feelings (d) AI answers need checking
10. 10.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
11. 11.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
12. 12.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) the learned patterns (d) old emails marked spam
13. 13.Which of these describes how a normal program works? (a) improves with more data (b) uses rules people wrote (c) makes a best guess (d) gives a likely answer
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
15. 15.🔍 Which is the odd one out? (a) face unlock on a phone (b) video suggestions (c) voice typing (d) a stopwatch
16. 16.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
17. 17.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
19. 19.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) an image (c) text
20. 20.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
21. 21.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) photos in many lights (d) correct labels
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
23. 23.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
24. 24.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing a new poem (c) drawing a new picture (d) spotting a sick leaf
26. 26.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) improves with more data (d) does exactly as coded
27. 27.Which of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) follows fixed rules (d) spots patterns in data
28. 28.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) artificial intelligence (d) app installer
29. 29.True or false: “very few examples” is bad for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) wrong labels (d) blurry, unclear photos
31. 31.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
32. 32.Which of these is a fact about AI? (a) long answers are true (b) AI knows everything (c) AI answers need checking (d) AI has real feelings
33. 33.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
34. 34.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
35. 35.🏷️ 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
36. 36.🔍 Which is the odd one out? (a) long answers are true (b) AI can make up facts (c) confident means correct (d) AI is never wrong
37. 37.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
38. 38.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
39. 39.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
40. 40.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) the Moon (d) nobody at all

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