AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 750 · 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.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
2. 2.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) False (b) True
3. 3.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
4. 4.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it has a screen (d) it is always right
5. 5.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
6. 6.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) only one kind of example (d) clear, sharp examples
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
8. 8.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
9. 9.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) 500 labelled leaf photos
10. 10.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
11. 11.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
12. 12.Which of these adds to bias? (a) balance the data (b) add more of the same (c) add varied examples (d) check who is missing
13. 13.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI always checks facts (d) AI copies data patterns
14. 14.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
15. 15.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
16. 16.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
19. 19.Which of these uses AI? (a) a doorbell (b) a digital watch (c) voice typing (d) a light switch
20. 20.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) predicting rain (c) inventing a recipe (d) drafting a letter
22. 22.🔍 Which is the odd one out? (a) face unlock on a phone (b) video suggestions (c) a fan regulator (d) an AI chatbot
23. 23.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
24. 24.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) face unlock (d) voice typing
25. 25.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
26. 26.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
27. 27.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) singing (d) drawing
28. 28.Which of these uses AI? (a) a stopwatch (b) a doorbell (c) a light switch (d) photos grouped by face
29. 29.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
30. 30.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
31. 31.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
32. 32.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) copies one website (d) predicts likely words
33. 33.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) many varied examples (d) new data for testing
34. 34.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) spotting spam (d) making up a story
35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) True (b) False
38. 38.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
39. 39.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) generating (c) predicting (d) recommending
40. 40.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough

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