AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 114 · 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 is the odd one out? (a) a printed timetable (b) a digital watch (c) voice typing (d) a stopwatch
2. 2.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
3. 3.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
5. 5.Which of these describes how a normal program works? (a) gives a likely answer (b) does exactly as coded (c) makes a best guess (d) learns from examples
6. 6.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) typing a new spoken word (d) the learned patterns
7. 7.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) ask different people (d) check who is missing
8. 8.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
9. 9.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
10. 10.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
11. 11.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) only on weekends (d) yes, just like us
12. 12.Which of these adds to bias? (a) add varied examples (b) ask different people (c) balance the data (d) add more of the same
13. 13.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
14. 14.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
15. 15.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) printing (d) cooking
16. 16.🔍 Which is the odd one out? (a) drafting a letter (b) composing a new tune (c) writing a new poem (d) sorting photos by face
17. 17.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) ask it to repeat (d) look in your textbook
18. 18.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) generating (c) recognising (d) recommending
19. 19.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) predicting (c) recommending (d) generating
20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
21. 21.True or false: “recorded spoken words” is training data. (a) False (b) True
22. 22.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
24. 24.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
25. 25.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
26. 26.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
27. 27.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
28. 28.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) face unlock (d) a spam filter
29. 29.True or false: “what training builds” is the model. (a) False (b) True
30. 30.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
31. 31.🔍 Which is the odd one out? (a) a light switch (b) photos grouped by face (c) a spam filter (d) an app translating signs
32. 32.True or false: “labels added at random” is good for training a model. (a) True (b) False
33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
34. 34.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
35. 35.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
36. 36.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
37. 37.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
38. 38.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
39. 39.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
40. 40.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True

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