AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 945 · 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 not AI: an AI chatbot? (a) uses AI (b) not AI
2. 2.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a password (c) a summary (d) a backup
3. 3.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) test on many groups
4. 4.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) writing quiz questions (c) spotting a sick leaf (d) drafting a letter
6. 6.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
7. 7.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) add varied examples (d) test on one group only
8. 8.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
9. 9.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
10. 10.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
11. 11.True or false: “the learned patterns” is the model. (a) True (b) False
12. 12.True or false: turning spoken words into typed text needs AI that learns from examples. (a) True (b) False
13. 13.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
14. 14.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) AI copies data patterns (d) confident means correct
15. 15.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
16. 16.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
17. 17.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only stores files (d) only adds numbers
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
19. 19.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add varied examples (d) ask different people
20. 20.True or false: “the trained program” is the model. (a) False (b) True
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) drafting a letter (c) turning speech to text (d) inventing a recipe
22. 22.🔍 Which is the odd one out? (a) AI always checks facts (b) AI is never wrong (c) long answers are true (d) AI can make up facts
23. 23.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) correct labels (d) clear, sharp examples
24. 24.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) predicting (c) generating (d) recommending
25. 25.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
26. 26.Which of these describes how AI works? (a) same steps every time (b) handles unseen examples (c) follows fixed rules (d) does exactly as coded
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
28. 28.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) predicting (c) recognising (d) generating
29. 29.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
30. 30.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) very few examples (d) new data for testing
31. 31.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
32. 32.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) one set rule per case (d) handles unseen examples
33. 33.True or false: “naming a new fruit photo” is training data. (a) False (b) True
34. 34.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
35. 35.True or false: “it uses big words” is a real way to check an AI answer. (a) False (b) True
36. 36.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
37. 37.Which of these describes how AI works? (a) does exactly as coded (b) learns from examples (c) uses rules people wrote (d) same steps every time
38. 38.True or false: a weather app guessing tomorrow’s rain is AI generating something new. (a) True (b) False
39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam

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