AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 848 · 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.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
2. 2.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) music or sound (c) text
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
4. 4.Which of these is a fact about AI? (a) AI knows everything (b) AI answers need checking (c) AI always checks facts (d) AI has real feelings
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) check who is missing (d) copy old unfair choices
6. 6.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
7. 7.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
8. 8.True or false: a weather app guessing tomorrow’s rain is AI recognising something. (a) False (b) True
9. 9.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
10. 10.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) add more of the same (d) add varied examples
11. 11.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
12. 12.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) predicting rain (b) making up a story (c) writing a new poem (d) inventing a recipe
14. 14.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
15. 15.True or false: “copies of one photo” is good for training a model. (a) True (b) False
16. 16.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
18. 18.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
19. 19.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
20. 20.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) inventing a recipe (c) composing a new tune (d) spotting a sick leaf
22. 22.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) many varied examples (d) examples of every type
23. 23.Which of these uses AI? (a) an image generator (b) a doorbell (c) a microwave timer (d) a digital watch
24. 24.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
25. 25.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) charges batteries (d) only stores files
26. 26.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
28. 28.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) old emails marked spam (d) the learned patterns
29. 29.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
30. 30.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI learns from data (d) AI always checks facts
31. 31.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
32. 32.Which of these is bad for training a model? (a) examples of every type (b) copies of one photo (c) photos in many lights (d) new data for testing
33. 33.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
34. 34.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
35. 35.🏷️ 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
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
37. 37.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
38. 38.Which of these is not AI? (a) an image generator (b) voice typing (c) a light switch (d) a map predicting traffic
39. 39.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recognising (b) recommending (c) generating (d) predicting
40. 40.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) predicting (c) recommending (d) generating

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