AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 690 · 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.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
2. 2.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
3. 3.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) ask it to hurry (d) check it on paper
4. 4.🏷️ 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
5. 5.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
6. 6.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
7. 7.True or false: “use one group only” adds to bias. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) long answers are true (b) AI learns from data (c) AI copies data patterns (d) AI can be wrong
9. 9.🔍 Which is the odd one out? (a) a microwave timer (b) a stopwatch (c) a light switch (d) a voice assistant
10. 10.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
11. 11.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.Which of these describes how a normal program works? (a) spots patterns in data (b) does exactly as coded (c) learns from examples (d) improves with more data
13. 13.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
14. 14.True or false: “testing on training data” is good for training a model. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) AI knows everything (b) AI answers need checking (c) long answers are true (d) AI is never wrong
16. 16.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
17. 17.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) spotting spam (c) creating a cartoon (d) writing quiz questions
18. 18.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
19. 19.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
20. 20.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) past weather records (d) labelled fruit photos
21. 21.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
22. 22.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) many varied examples (d) labels added at random
23. 23.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
24. 24.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
25. 25.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
26. 26.True or false: “AI knows everything” is a myth about AI. (a) False (b) True
27. 27.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) blurry, unclear photos (d) clear, sharp examples
28. 28.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
30. 30.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) balance the data
32. 32.🔍 Which is the odd one out? (a) sorting photos by face (b) unlocking with a face (c) turning speech to text (d) writing quiz questions
33. 33.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
36. 36.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
37. 37.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
38. 38.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) examples of every type (d) labels added at random
39. 39.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
40. 40.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True

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