AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 251 · 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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
2. 2.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
3. 3.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
4. 4.True or false: “copies of one photo” is good for training a model. (a) False (b) True
5. 5.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
6. 6.Which of these is a prediction? (a) what training builds (b) the trained program (c) naming a new leaf (d) past weather records
7. 7.True or false: “past weather records” is training data. (a) True (b) False
8. 8.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) one set rule per case (d) makes a best guess
9. 9.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
10. 10.🔍 Which is the odd one out? (a) a digital watch (b) photos grouped by face (c) a torch (d) a fan regulator
11. 11.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
12. 12.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new fruit photo
13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) inventing a recipe (c) writing quiz questions (d) sorting photos by face
14. 14.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) AI can mix up numbers (d) AI always checks facts
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
16. 16.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
17. 17.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) sorting photos by face (c) writing a new poem (d) turning speech to text
18. 18.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) generating (c) predicting (d) recognising
19. 19.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
20. 20.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
21. 21.Which of these is a fact about AI? (a) AI always checks facts (b) AI can be wrong (c) AI knows everything (d) long answers are true
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
23. 23.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
24. 24.True or false: “the trained program” is the model. (a) False (b) True
25. 25.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
26. 26.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
27. 27.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) drawing a new picture (c) sorting photos by face (d) reading number plates
28. 28.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
29. 29.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) copy old unfair choices (d) use one group only
30. 30.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
31. 31.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
32. 32.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
33. 33.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
34. 34.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
35. 35.🔍 Which is the odd one out? (a) a light switch (b) a doorbell (c) a kitchen weighing scale (d) video suggestions
36. 36.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) share it online (c) trust the AI (d) stop studying
37. 37.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
38. 38.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
39. 39.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) predicting (c) recommending (d) generating
40. 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data

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