AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 608 · 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.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
2. 2.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
3. 3.True or false: “balance the data” helps reduce bias. (a) False (b) True
4. 4.True or false: “recorded spoken words” is training data. (a) False (b) True
5. 5.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) testing on training data (d) examples of every type
6. 6.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recognising (c) recommending (d) predicting
7. 7.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
8. 8.🔍 Which is the odd one out? (a) a light switch (b) an image generator (c) a map predicting traffic (d) a spam filter
9. 9.🔍 Which is the odd one out? (a) turning speech to text (b) sorting photos by face (c) making up a story (d) unlocking with a face
10. 10.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) follows fixed rules (d) improves with more data
11. 11.Which of these is a fact about AI? (a) AI can mix up numbers (b) confident means correct (c) AI is never wrong (d) AI has real feelings
12. 12.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) checking labels twice (d) very few examples
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
14. 14.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
15. 15.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
16. 16.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) slower to switch on (d) forget everything
17. 17.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) blurry, unclear photos (d) many varied examples
18. 18.🔍 Which is the odd one out? (a) an app translating signs (b) an AI chatbot (c) face unlock on a phone (d) a doorbell
19. 19.Which of these uses AI? (a) a kitchen weighing scale (b) a calculator (c) a map predicting traffic (d) a torch
20. 20.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) an image (c) text
21. 21.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
22. 22.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
24. 24.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) trust the textbook (d) stop studying
25. 25.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
26. 26.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
27. 27.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) generating (c) predicting (d) recognising
28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
29. 29.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
30. 30.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
31. 31.Which of these adds to bias? (a) test on one group only (b) balance the data (c) check who is missing (d) add varied examples
32. 32.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
34. 34.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
35. 35.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) add varied examples
36. 36.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) check who is missing (d) skip testing
37. 37.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
38. 38.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
39. 39.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
40. 40.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) suggesting a video (c) creating a cartoon (d) turning speech to text

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