AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 717 · 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) drawing a new picture (b) making up a story (c) spotting a sick leaf (d) composing a new tune
2. 2.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
4. 4.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) the trained program (d) tomorrow’s rain guess
5. 5.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) spots patterns in data (d) does exactly as coded
6. 6.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) ask it to hurry (c) copy it straight away (d) never do maths
7. 7.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) many varied examples (d) clear, sharp examples
8. 8.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) copies of one photo (d) wrong labels
9. 9.True or false: “use one group only” helps reduce bias. (a) False (b) True
10. 10.Which of these is a myth about AI? (a) AI copies data patterns (b) AI answers need checking (c) AI can mix up numbers (d) long answers are true
11. 11.Which of these describes how a normal program works? (a) same steps every time (b) handles unseen examples (c) makes a best guess (d) learns from examples
12. 12.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) music or sound (c) an image
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
14. 14.True or false: “test on many groups” helps reduce bias. (a) False (b) True
15. 15.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
16. 16.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
17. 17.Which of these is a fact about AI? (a) AI always checks facts (b) AI can make up facts (c) confident means correct (d) AI knows everything
18. 18.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
19. 19.True or false: “past weather records” is training data. (a) True (b) False
20. 20.Which of these is not AI? (a) a spam filter (b) voice typing (c) an AI chatbot (d) a kitchen weighing scale
21. 21.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
22. 22.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True
23. 23.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) long answers are true (d) AI answers need checking
25. 25.True or false: “test on many groups” adds to bias. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) a spam filter (b) an AI chatbot (c) a digital watch (d) photos grouped by face
27. 27.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) the learned patterns (d) flagging a new email
28. 28.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
29. 29.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
30. 30.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) music or sound (c) an image
31. 31.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
32. 32.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
33. 33.True or false: “check who is missing” helps reduce bias. (a) False (b) True
34. 34.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
35. 35.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
36. 36.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
38. 38.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) makes new content (d) only stores files
39. 39.True or false: “a story about a brave ant” asks for music or sound. (a) False (b) True
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam

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