AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 636 · 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 the model? (a) recorded spoken words (b) old emails marked spam (c) flagging a new email (d) what training builds
2. 2.Which of these describes how AI works? (a) does exactly as coded (b) gives a likely answer (c) never learns from data (d) uses rules people wrote
3. 3.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) only one kind of example (d) examples of every type
4. 4.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
5. 5.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
6. 6.True or false: “the learned patterns” is a prediction. (a) True (b) False
7. 7.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
11. 11.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
12. 12.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
13. 13.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
14. 14.True or false: “a story about a brave ant” asks for text. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) skip testing (d) check who is missing
16. 16.Which of these is training data? (a) the trained program (b) naming a new leaf (c) past weather records (d) what training builds
17. 17.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
18. 18.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
19. 19.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
20. 20.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
21. 21.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) recognising (c) generating (d) predicting
22. 22.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) AI can be wrong (d) confident means correct
23. 23.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
24. 24.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
26. 26.🐶 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
27. 27.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) many varied examples (d) examples of every type
28. 28.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
29. 29.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
31. 31.🔍 Which is the odd one out? (a) drafting a letter (b) suggesting a video (c) composing a new tune (d) drawing a new picture
32. 32.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
33. 33.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
34. 34.Which of these is a myth about AI? (a) AI learns from data (b) AI copies data patterns (c) long answers are true (d) AI can make up facts
35. 35.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) recommending (c) recognising (d) generating
36. 36.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) labelled fruit photos (d) typing a new spoken word
37. 37.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
38. 38.True or false: “past weather records” is training data. (a) True (b) False
39. 39.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) predicting (d) drawing
40. 40.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI

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