AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 691 · 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: “the trained program” is the model. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
3. 3.Which of these describes how AI works? (a) gives a likely answer (b) uses rules people wrote (c) follows fixed rules (d) same steps every time
4. 4.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
5. 5.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
6. 6.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
7. 7.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) asks a person (d) uses magic
8. 8.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
9. 9.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
10. 10.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI learns from data (c) AI can make up facts (d) long answers are true
12. 12.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) drafting a letter (b) writing a new poem (c) turning speech to text (d) making up a story
14. 14.🤖 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
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
16. 16.Which of these helps reduce bias? (a) balance the data (b) copy old unfair choices (c) skip testing (d) use one group only
17. 17.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
18. 18.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
19. 19.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
20. 20.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) yes, it can think (d) only at night
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
22. 22.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) add more of the same (d) copy old unfair choices
25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
27. 27.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) testing on training data (d) wrong labels
28. 28.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
29. 29.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
30. 30.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
31. 31.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) very few examples (d) new data for testing
32. 32.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
34. 34.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
35. 35.Which of these describes how AI works? (a) improves with more data (b) follows fixed rules (c) never learns from data (d) uses rules people wrote
36. 36.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
38. 38.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
39. 39.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
40. 40.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) turning speech to text (c) sorting photos by face (d) drafting a letter

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