AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 178 · 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: “what training builds” is the model. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
5. 5.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
7. 7.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
8. 8.Which of these is a myth about AI? (a) AI answers need checking (b) AI can be wrong (c) AI copies data patterns (d) long answers are true
9. 9.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) spots patterns in data (d) follows fixed rules
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
11. 11.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
12. 12.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
13. 13.🔍 Which is the odd one out? (a) inventing a recipe (b) writing quiz questions (c) writing a new poem (d) reading number plates
14. 14.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) spots patterns in data (d) does exactly as coded
15. 15.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
16. 16.Which of these is generative AI (it makes something new)? (a) reading number plates (b) sorting photos by face (c) spotting spam (d) making up a story
17. 17.🔍 Which is the odd one out? (a) AI always checks facts (b) AI knows everything (c) AI can be wrong (d) confident means correct
18. 18.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) copies of one photo (d) wrong labels
19. 19.🔍 Which is the odd one out? (a) confident means correct (b) AI is never wrong (c) long answers are true (d) AI can make up facts
20. 20.True or false: “never learns from data” describes how AI works. (a) False (b) True
21. 21.💬 What do we call the request you type to a generative AI? (a) a battery (b) a label (c) a password (d) a prompt
22. 22.Which of these is not AI? (a) an image generator (b) an app translating signs (c) a doorbell (d) a map predicting traffic
23. 23.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
24. 24.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) text (c) an image
25. 25.True or false: “photos in many lights” is good for training a model. (a) True (b) False
26. 26.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
27. 27.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) trust the AI (c) share it online (d) stop studying
28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) reading number plates (b) drawing a new picture (c) drafting a letter (d) writing a new poem
29. 29.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
30. 30.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
31. 31.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
32. 32.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) sleeping (c) drawing (d) singing
33. 33.🔍 Which is the odd one out? (a) a voice assistant (b) a digital watch (c) face unlock on a phone (d) video suggestions
34. 34.Which of these uses AI? (a) a stopwatch (b) a fan regulator (c) a voice assistant (d) a calculator
35. 35.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
36. 36.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
37. 37.Which of these is bad for training a model? (a) very few examples (b) clear, sharp examples (c) checking labels twice (d) many varied examples
38. 38.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns

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