AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 562 · 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 of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) inventing a recipe (c) drafting a letter (d) making up a story
2. 2.🔍 Which is the odd one out? (a) suggesting a video (b) turning speech to text (c) predicting rain (d) drafting a letter
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
6. 6.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a hallucination (d) a summary
7. 7.🔍 Which is the odd one out? (a) video suggestions (b) an image generator (c) an AI chatbot (d) a light switch
8. 8.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
9. 9.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
10. 10.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
11. 11.True or false: “rain sound effects for a play” asks for an image. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) add varied examples
13. 13.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
14. 14.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
15. 15.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
16. 16.Which of these is not AI? (a) voice typing (b) a kitchen weighing scale (c) a spam filter (d) video suggestions
17. 17.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
18. 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) reading number plates (c) writing a new poem (d) composing a new tune
19. 19.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) same steps every time (d) improves with more data
20. 20.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
21. 21.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
22. 22.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
23. 23.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
24. 24.True or false: “old emails marked spam” is the model. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) a light switch (b) voice typing (c) a calculator (d) a printed timetable
26. 26.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
28. 28.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
30. 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) making up a story (c) spotting spam (d) drafting a letter
31. 31.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
33. 33.True or false: “learns from examples” describes how AI works. (a) True (b) False
34. 34.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
35. 35.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
36. 36.Which of these is generative AI (it makes something new)? (a) predicting rain (b) sorting photos by face (c) reading number plates (d) composing a new tune
37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
38. 38.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
39. 39.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
40. 40.Which of these is a fact about AI? (a) AI always checks facts (b) AI learns from data (c) confident means correct (d) AI has real feelings

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