AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 604 · 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 training data? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) the trained program
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
3. 3.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recommending (c) generating (d) recognising
4. 4.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
5. 5.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
6. 6.Which of these is bad for training a model? (a) checking labels twice (b) copies of one photo (c) clear, sharp examples (d) correct labels
7. 7.🔍 Which is the odd one out? (a) writing a new poem (b) writing quiz questions (c) spotting spam (d) creating a cartoon
8. 8.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) checking labels twice (d) blurry, unclear photos
9. 9.Which of these uses AI? (a) a digital watch (b) a doorbell (c) a kitchen weighing scale (d) video suggestions
10. 10.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
11. 11.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
12. 12.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) naming a new leaf (d) tomorrow’s rain guess
13. 13.🔍 Which is the odd one out? (a) AI learns from data (b) AI can be wrong (c) AI knows everything (d) AI can make up facts
14. 14.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
15. 15.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) an image (c) music or sound
16. 16.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a hallucination (d) a backup
17. 17.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
18. 18.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
20. 20.🔍 Which is the odd one out? (a) making up a story (b) unlocking with a face (c) drafting a letter (d) writing a new poem
21. 21.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
22. 22.Which of these describes how AI works? (a) follows fixed rules (b) spots patterns in data (c) never learns from data (d) same steps every time
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
24. 24.Which of these describes how a normal program works? (a) spots patterns in data (b) one set rule per case (c) gives a likely answer (d) makes a best guess
25. 25.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
26. 26.True or false: “add varied examples” adds to bias. (a) False (b) True
27. 27.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
28. 28.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) drafting a letter (d) sorting photos by face
29. 29.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
31. 31.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
32. 32.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
33. 33.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
34. 34.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
35. 35.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) ignore complaints (d) ask different people
36. 36.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
37. 37.🔢 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
38. 38.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
39. 39.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
40. 40.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf

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