AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 376 · 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.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
2. 2.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
3. 3.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) the learned patterns (d) recorded spoken words
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
5. 5.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
6. 6.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) blurry, unclear photos (d) wrong labels
7. 7.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
8. 8.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
9. 9.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
10. 10.Which of these is a fact about AI? (a) AI learns from data (b) AI always checks facts (c) confident means correct (d) AI is never wrong
11. 11.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing a new poem (c) unlocking with a face (d) creating a cartoon
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
14. 14.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
15. 15.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) generating (d) recognising
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
17. 17.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
18. 18.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) only one kind of example (d) clear, sharp examples
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
21. 21.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
22. 22.True or false: “add more of the same” adds to bias. (a) True (b) False
23. 23.True or false: “past weather records” is the model. (a) False (b) True
24. 24.Which of these uses AI? (a) a voice assistant (b) a kitchen weighing scale (c) a torch (d) a fan regulator
25. 25.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
26. 26.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
27. 27.✨ What does generative AI do? (a) makes new content (b) only stores files (c) only adds numbers (d) charges batteries
28. 28.🔍 Which is the odd one out? (a) testing on training data (b) wrong labels (c) blurry, unclear photos (d) photos in many lights
29. 29.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
30. 30.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
32. 32.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
33. 33.True or false: an online shop showing “you may also like” is AI generating something new. (a) True (b) False
34. 34.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
36. 36.Which of these is not AI? (a) a microwave timer (b) an AI chatbot (c) video suggestions (d) voice typing
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
38. 38.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
39. 39.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
40. 40.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) examples of every type (d) very few examples

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