AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 930 · 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.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) recommending (c) recognising (d) generating
2. 2.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing
3. 3.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
4. 4.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) only adds numbers (d) makes new content
5. 5.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can be wrong (c) AI learns from data (d) AI always checks facts
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
8. 8.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
9. 9.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) clear, sharp examples (d) testing on training data
10. 10.Which of these uses AI? (a) a printed timetable (b) a kitchen weighing scale (c) a light switch (d) an AI chatbot
11. 11.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
12. 12.Which of these is a myth about AI? (a) AI copies data patterns (b) AI answers need checking (c) confident means correct (d) AI can mix up numbers
13. 13.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI copies data patterns (d) AI has real feelings
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
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.🔍 Which is the odd one out? (a) photos grouped by face (b) a kitchen weighing scale (c) a voice assistant (d) a spam filter
17. 17.🔍 Which is the odd one out? (a) writing quiz questions (b) writing a new poem (c) turning speech to text (d) making up a story
18. 18.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
19. 19.🔍 Which is the odd one out? (a) reading number plates (b) inventing a recipe (c) turning speech to text (d) spotting a sick leaf
20. 20.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
21. 21.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) skip testing (d) ask different people
22. 22.True or false: “examples of every type” is bad for training a model. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) AI always checks facts (b) AI has real feelings (c) long answers are true (d) AI learns from data
24. 24.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) what training builds (d) flagging a new email
25. 25.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) predicting (c) recognising (d) generating
26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) drafting a letter (c) spotting spam (d) creating a cartoon
27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
28. 28.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
29. 29.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
30. 30.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) balance the data (d) test on one group only
31. 31.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
32. 32.Which of these is bad for training a model? (a) examples of every type (b) wrong labels (c) clear, sharp examples (d) many varied examples
33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
34. 34.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
35. 35.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
36. 36.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
37. 37.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) sorting photos by face (c) writing a new poem (d) writing quiz questions
39. 39.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the learned patterns (d) past weather records
40. 40.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True

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