AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 297 · 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.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
3. 3.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
4. 4.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) recommending (c) predicting (d) recognising
5. 5.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
6. 6.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing a new poem (c) spotting a sick leaf (d) inventing a recipe
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
10. 10.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recommending (c) recognising (d) predicting
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
12. 12.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) voice typing (d) a basic calculator
13. 13.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
14. 14.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) handles unseen examples (d) never learns from data
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
16. 16.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
17. 17.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
18. 18.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) copy old unfair choices (d) skip testing
19. 19.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) photos grouped by face (c) a doorbell (d) a digital watch
20. 20.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
21. 21.🔍 Which is the odd one out? (a) predicting rain (b) spotting a sick leaf (c) drawing a new picture (d) suggesting a video
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
24. 24.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
25. 25.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) never do maths (c) ask it to hurry (d) copy it straight away
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
27. 27.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
28. 28.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
29. 29.Which of these describes how a normal program works? (a) makes a best guess (b) uses rules people wrote (c) learns from examples (d) spots patterns in data
30. 30.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
31. 31.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
32. 32.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
33. 33.Which of these is not AI? (a) face unlock on a phone (b) a torch (c) voice typing (d) an app translating signs
34. 34.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) predicting (b) recognising (c) recommending (d) generating
35. 35.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
36. 36.True or false: “correct labels” is bad for training a model. (a) True (b) False
37. 37.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
38. 38.True or false: “very few examples” is good for training a model. (a) False (b) True
39. 39.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) spots patterns in data (d) does exactly as coded
40. 40.True or false: “very few examples” is bad for training a model. (a) True (b) False

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