AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 855 · 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 the model? (a) the trained program (b) past weather records (c) typing a new spoken word (d) naming a new fruit photo
2. 2.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
4. 4.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
5. 5.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
6. 6.True or false: “very few examples” is good for training a model. (a) True (b) False
7. 7.Which of these is not AI? (a) a torch (b) face unlock on a phone (c) photos grouped by face (d) an AI chatbot
8. 8.🔍 Which is the odd one out? (a) AI can make up facts (b) AI has real feelings (c) AI copies data patterns (d) AI can mix up numbers
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
10. 10.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
11. 11.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
13. 13.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
14. 14.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
15. 15.True or false: a keyboard guessing your next word is AI recognising something. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add varied examples (d) check who is missing
17. 17.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) examples of every type (d) very few examples
18. 18.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) turning speech to text (c) spotting a sick leaf (d) spotting spam
19. 19.True or false: “long answers are true” is a fact about AI. (a) True (b) False
20. 20.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) examples of every type (d) new data for testing
21. 21.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
22. 22.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) charge faster (d) clean screens
23. 23.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
24. 24.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) composing a new tune (c) drafting a letter (d) writing a new poem
26. 26.🔍 Which is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI answers need checking (d) confident means correct
27. 27.True or false: “old emails marked spam” is the model. (a) False (b) True
28. 28.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) same steps every time (d) handles unseen examples
29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
30. 30.🔍 Which is the odd one out? (a) turning speech to text (b) writing quiz questions (c) inventing a recipe (d) writing a new poem
31. 31.🏷️ 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
32. 32.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) use one group only (d) ask different people
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
34. 34.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
35. 35.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) add more of the same (d) use one group only
36. 36.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
37. 37.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
38. 38.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) use one group only (d) add more of the same
39. 39.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) use one group only (d) test on many groups
40. 40.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator

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