AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 796 · 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 of these is a myth about AI? (a) confident means correct (b) AI can make up facts (c) AI can mix up numbers (d) AI copies data patterns
2. 2.Which of these is good for training a model? (a) photos in many lights (b) only one kind of example (c) testing on training data (d) wrong labels
3. 3.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
4. 4.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
5. 5.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
6. 6.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
7. 7.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
8. 8.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
10. 10.Which of these describes how a normal program works? (a) same steps every time (b) learns from examples (c) makes a best guess (d) improves with more data
11. 11.Which of these is training data? (a) the trained program (b) what training builds (c) old emails marked spam (d) typing a new spoken word
12. 12.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) balance the data (d) add varied examples
13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) predicting rain (b) creating a cartoon (c) making up a story (d) drafting a letter
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
15. 15.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) music or sound (b) text (c) an image
16. 16.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
17. 17.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) a torch (b) a light switch (c) video suggestions (d) a calculator
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
20. 20.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI always checks facts (c) AI can be wrong (d) AI can make up facts
21. 21.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
22. 22.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
23. 23.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
24. 24.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
25. 25.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) only one kind of example (d) blurry, unclear photos
26. 26.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
27. 27.🔍 Which is the odd one out? (a) a stopwatch (b) a microwave timer (c) a calculator (d) face unlock on a phone
28. 28.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
29. 29.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) typing a new spoken word (d) what training builds
30. 30.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
31. 31.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
32. 32.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
33. 33.True or false: “examples of every type” is good for training a model. (a) False (b) True
34. 34.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) charging (d) cooking
35. 35.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
37. 37.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
38. 38.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
39. 39.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
40. 40.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True

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