AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 26 · 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.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
4. 4.🔍 Which is the odd one out? (a) a microwave timer (b) a kitchen weighing scale (c) photos grouped by face (d) a printed timetable
5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) drawing a new picture (c) writing a new poem (d) spotting spam
6. 6.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
7. 7.🔍 Which is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) writing quiz questions (d) spotting a sick leaf
8. 8.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
9. 9.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
10. 10.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) testing on training data (d) many varied examples
11. 11.True or false: “labelled fruit photos” is training data. (a) False (b) True
12. 12.Which of these is the model? (a) recorded spoken words (b) past weather records (c) the learned patterns (d) naming a new fruit photo
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) spam (b) not spam
14. 14.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
15. 15.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
16. 16.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) singing (c) drawing (d) sleeping
17. 17.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
18. 18.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
19. 19.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
20. 20.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
21. 21.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
22. 22.🎨 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
23. 23.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
24. 24.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) use one group only (d) add more of the same
25. 25.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
26. 26.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) AI learns from data (d) confident means correct
27. 27.Which of these is a fact about AI? (a) AI always checks facts (b) AI answers need checking (c) confident means correct (d) AI is never wrong
28. 28.Which of these describes how AI works? (a) never learns from data (b) spots patterns in data (c) one set rule per case (d) same steps every time
29. 29.Which of these is a prediction? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) labelled fruit photos
30. 30.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
32. 32.Which of these describes how AI works? (a) handles unseen examples (b) one set rule per case (c) uses rules people wrote (d) same steps every time
33. 33.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
34. 34.True or false: “labels added at random” is good for training a model. (a) False (b) True
35. 35.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
36. 36.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
37. 37.🤔 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
38. 38.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
39. 39.Which of these is not AI? (a) video suggestions (b) voice typing (c) a light switch (d) photos grouped by face
40. 40.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) AI knows everything (d) AI can make up facts

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