AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 607 · 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: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
2. 2.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) copies one website (d) asks a person
3. 3.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
4. 4.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
5. 5.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
6. 6.Which of these describes how a normal program works? (a) does exactly as coded (b) makes a best guess (c) learns from examples (d) improves with more data
7. 7.🔍 Which is the odd one out? (a) a microwave timer (b) an AI chatbot (c) a light switch (d) a doorbell
8. 8.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) ask it to repeat (d) guess
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
12. 12.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
13. 13.Which of these is generative AI (it makes something new)? (a) spotting spam (b) writing quiz questions (c) unlocking with a face (d) turning speech to text
14. 14.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
15. 15.True or false: “ask different people” adds to bias. (a) False (b) True
16. 16.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) ask different people (d) check who is missing
17. 17.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recognising (c) predicting (d) recommending
18. 18.Which of these adds to bias? (a) add varied examples (b) ask different people (c) balance the data (d) ignore complaints
19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
20. 20.Which of these is not AI? (a) face unlock on a phone (b) video suggestions (c) a printed timetable (d) an image generator
21. 21.True or false: “examples of every type” is bad for training a model. (a) False (b) True
22. 22.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) yes, it can think (d) only at night
23. 23.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) charge faster (d) clean screens
24. 24.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
25. 25.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI learns from data (d) AI is never wrong
27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
28. 28.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
29. 29.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting a sick leaf (c) spotting spam (d) drafting a letter
30. 30.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
31. 31.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) predicting rain (c) inventing a recipe (d) spotting spam
32. 32.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
34. 34.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) balance the data (d) add more of the same
35. 35.True or false: “new data for testing” is bad for training a model. (a) True (b) False
36. 36.True or false: “old emails marked spam” is the model. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) a calculator (b) a digital watch (c) a doorbell (d) a map predicting traffic
38. 38.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
39. 39.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) recommending (c) recognising (d) generating
40. 40.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) tomorrow’s rain guess (d) the trained program

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