AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 703 · 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 a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI copies data patterns (d) confident means correct
2. 2.🔍 Which is the odd one out? (a) spotting a sick leaf (b) drawing a new picture (c) writing a new poem (d) making up a story
3. 3.Which of these adds to bias? (a) fix wrong labels (b) skip testing (c) balance the data (d) ask different people
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
5. 5.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
6. 6.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recommending (d) recognising
7. 7.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
8. 8.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
11. 11.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) ignore complaints (d) skip testing
13. 13.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
14. 14.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) music or sound (c) text
15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) suggesting a video (c) making up a story (d) writing a new poem
16. 16.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
17. 17.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) inventing a recipe (b) making up a story (c) sorting photos by face (d) writing quiz questions
20. 20.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
21. 21.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
22. 22.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
24. 24.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drawing a new picture (c) reading number plates (d) composing a new tune
26. 26.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
27. 27.Which of these adds to bias? (a) add more of the same (b) check who is missing (c) test on many groups (d) ask different people
28. 28.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) follows fixed rules (d) uses rules people wrote
29. 29.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) handles unseen examples (d) never learns from data
30. 30.🎨 An image generator makes a picture from… (a) your password (b) a text description (c) a phone number (d) the weather
31. 31.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) skip testing (d) add varied examples
32. 32.Which of these uses AI? (a) a calculator (b) a microwave timer (c) photos grouped by face (d) a kitchen weighing scale
33. 33.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing a new poem (c) sorting photos by face (d) creating a cartoon
34. 34.Which of these is not AI? (a) a map predicting traffic (b) an app translating signs (c) a voice assistant (d) a printed timetable
35. 35.Which of these describes how AI works? (a) uses rules people wrote (b) makes a best guess (c) never learns from data (d) same steps every time
36. 36.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) naming a new leaf
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
38. 38.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) the learned patterns (d) what training builds
39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
40. 40.True or false: a music app suggesting a song you may like is AI recommending something. (a) False (b) True

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