AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 899 · 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: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
2. 2.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
3. 3.True or false: “very few examples” is bad for training a model. (a) False (b) True
4. 4.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo
5. 5.🔍 Which is the odd one out? (a) examples of every type (b) copies of one photo (c) very few examples (d) labels added at random
6. 6.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
7. 7.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
9. 9.🔍 Which is the odd one out? (a) AI can make up facts (b) AI answers need checking (c) AI always checks facts (d) AI can be wrong
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
11. 11.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
12. 12.🔍 Which is the odd one out? (a) making up a story (b) inventing a recipe (c) writing quiz questions (d) reading number plates
13. 13.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
14. 14.Which of these is a myth about AI? (a) AI answers need checking (b) AI can mix up numbers (c) AI always checks facts (d) AI copies data patterns
15. 15.Which of these is bad for training a model? (a) copies of one photo (b) many varied examples (c) clear, sharp examples (d) new data for testing
16. 16.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
17. 17.True or false: “what training builds” is a prediction. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
19. 19.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) what training builds (d) tomorrow’s rain guess
20. 20.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) writing a new poem (b) suggesting a video (c) composing a new tune (d) drawing a new picture
22. 22.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
23. 23.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
24. 24.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
25. 25.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
26. 26.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) predicting rain (c) inventing a recipe (d) spotting spam
27. 27.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
28. 28.Which of these is a fact about AI? (a) AI can make up facts (b) AI always checks facts (c) AI has real feelings (d) AI is never wrong
29. 29.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting spam (c) making up a story (d) sorting photos by face
30. 30.True or false: “AI has real feelings” is a fact about AI. (a) False (b) True
31. 31.True or false: a map app guessing how long a trip will take is AI generating something new. (a) True (b) False
32. 32.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
33. 33.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recognising (b) predicting (c) recommending (d) generating
34. 34.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
35. 35.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
36. 36.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
37. 37.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) learns from examples (d) same steps every time
38. 38.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
39. 39.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) automatic internet (d) app installer
40. 40.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False

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