AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 949 · 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 a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the learned patterns (d) recorded spoken words
2. 2.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) turning speech to text (c) reading number plates (d) sorting photos by face
3. 3.True or false: a camera app naming the flower you point at is AI predicting something. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
5. 5.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
6. 6.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) what training builds (d) the trained program
7. 7.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
8. 8.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
9. 9.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
10. 10.🔍 Which is the odd one out? (a) AI answers need checking (b) AI learns from data (c) AI always checks facts (d) AI can make up facts
11. 11.Which of these describes how AI works? (a) does exactly as coded (b) learns from examples (c) uses rules people wrote (d) follows fixed rules
12. 12.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
13. 13.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
14. 14.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
15. 15.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
16. 16.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
18. 18.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
19. 19.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI has real feelings (c) long answers are true (d) AI always checks facts
20. 20.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
23. 23.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
24. 24.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
25. 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
26. 26.True or false: “a soft lullaby melody” asks for an image. (a) True (b) False
27. 27.Which of these describes how AI works? (a) never learns from data (b) gives a likely answer (c) does exactly as coded (d) follows fixed rules
28. 28.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) a light switch (b) a kitchen weighing scale (c) voice typing (d) a stopwatch
30. 30.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
31. 31.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) check who is missing (d) copy old unfair choices
32. 32.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
33. 33.Which of these is not AI? (a) voice typing (b) a stopwatch (c) face unlock on a phone (d) photos grouped by face
34. 34.🔍 Which is the odd one out? (a) confident means correct (b) AI can make up facts (c) AI copies data patterns (d) AI answers need checking
35. 35.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) an image (c) text
36. 36.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
37. 37.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
38. 38.True or false: “labelled fruit photos” is the model. (a) True (b) False
39. 39.Which of these is not AI? (a) a kitchen weighing scale (b) voice typing (c) video suggestions (d) face unlock on a phone
40. 40.True or false: “AI knows everything” is a fact about AI. (a) True (b) False

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