AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 282 · 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.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
2. 2.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) what training builds (d) old emails marked spam
3. 3.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
4. 4.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
5. 5.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
6. 6.True or false: an online shop showing “you may also like” is AI predicting something. (a) True (b) False
7. 7.Which of these is a myth about AI? (a) long answers are true (b) AI can make up facts (c) AI copies data patterns (d) AI answers need checking
8. 8.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a battery (d) a prompt
9. 9.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
10. 10.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) voice typing (d) a spam filter
11. 11.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
12. 12.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recognising (c) predicting (d) recommending
14. 14.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
15. 15.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) AI answers need checking (d) long answers are true
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
17. 17.🔍 Which is the odd one out? (a) only one kind of example (b) correct labels (c) very few examples (d) testing on training data
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
19. 19.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
20. 20.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
21. 21.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
22. 22.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
23. 23.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
24. 24.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
25. 25.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
26. 26.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
27. 27.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
28. 28.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
29. 29.True or false: “ignore complaints” adds to bias. (a) True (b) False
30. 30.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) 500 labelled leaf photos (d) old emails marked spam
31. 31.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
32. 32.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) add varied examples (d) test on one group only
33. 33.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) examples of every type (d) labels added at random
35. 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
36. 36.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
38. 38.🔍 Which is the odd one out? (a) inventing a recipe (b) writing a new poem (c) writing quiz questions (d) spotting a sick leaf
39. 39.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) checking labels twice (d) testing on training data
40. 40.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) clear, sharp examples (d) blurry, unclear photos

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