AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 150 · 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 is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI can make up facts (d) AI is never wrong
2. 2.Which of these is bad for training a model? (a) very few examples (b) checking labels twice (c) many varied examples (d) examples of every type
3. 3.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
4. 4.Which of these uses AI? (a) a microwave timer (b) a doorbell (c) a calculator (d) an app translating signs
5. 5.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) only one kind of example (d) clear, sharp examples
6. 6.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) clear, sharp examples (d) copies of one photo
7. 7.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting spam (c) making up a story (d) spotting a sick leaf
8. 8.Which of these is the model? (a) recorded spoken words (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
9. 9.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) making up a story (c) creating a cartoon (d) writing a new poem
10. 10.Which of these describes how AI works? (a) learns from examples (b) same steps every time (c) does exactly as coded (d) never learns from data
11. 11.🔍 Which is the odd one out? (a) an app translating signs (b) a torch (c) face unlock on a phone (d) photos grouped by face
12. 12.True or false: “a drum beat for a dance” asks for an image. (a) True (b) False
13. 13.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
14. 14.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
17. 17.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
18. 18.True or false: “correct labels” is bad for training a model. (a) True (b) False
19. 19.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
20. 20.Which of these is not AI? (a) an AI chatbot (b) a printed timetable (c) face unlock on a phone (d) voice typing
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
22. 22.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
24. 24.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
25. 25.True or false: “fix wrong labels” adds to bias. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) photos grouped by face (b) a microwave timer (c) voice typing (d) a spam filter
27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
28. 28.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
29. 29.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) generating (b) predicting (c) recommending (d) recognising
30. 30.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
31. 31.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
32. 32.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
33. 33.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
34. 34.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
35. 35.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) very few examples (d) blurry, unclear photos
36. 36.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
38. 38.Which of these describes how a normal program works? (a) one set rule per case (b) gives a likely answer (c) learns from examples (d) improves with more data
39. 39.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data

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