AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 184 · 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: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.True or false: “recorded spoken words” is training data. (a) True (b) False
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
4. 4.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recommending (b) predicting (c) recognising (d) generating
5. 5.Which of these is a fact about AI? (a) AI knows everything (b) AI always checks facts (c) AI can make up facts (d) long answers are true
6. 6.True or false: “flagging a new email” is a prediction. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) a printed timetable (b) a fan regulator (c) face unlock on a phone (d) a microwave timer
8. 8.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
9. 9.True or false: “learns from examples” describes how AI works. (a) False (b) True
10. 10.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) flagging a new email (d) labelled fruit photos
11. 11.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
12. 12.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) copy it straight away (d) check it on paper
13. 13.True or false: “ask different people” helps reduce bias. (a) True (b) False
14. 14.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
16. 16.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
17. 17.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
18. 18.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
19. 19.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) what training builds (d) the trained program
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
21. 21.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) handles unseen examples (d) same steps every time
22. 22.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
23. 23.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
24. 24.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
25. 25.🤔 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
26. 26.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
27. 27.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound
28. 28.Which of these uses AI? (a) face unlock on a phone (b) a torch (c) a fan regulator (d) a digital watch
29. 29.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
30. 30.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
31. 31.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, it gets sad (d) yes, just like us
32. 32.True or false: “photos in many lights” is good for training a model. (a) False (b) True
33. 33.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) correct labels (d) many varied examples
34. 34.🔍 Which is the odd one out? (a) writing quiz questions (b) inventing a recipe (c) suggesting a video (d) writing a new poem
35. 35.Which of these is generative AI (it makes something new)? (a) predicting rain (b) reading number plates (c) inventing a recipe (d) spotting a sick leaf
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) wrong labels (d) blurry, unclear photos
38. 38.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) predicting (b) recommending (c) recognising (d) generating
39. 39.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
40. 40.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) only one kind of example (d) examples of every type

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