AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 402 · 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.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
2. 2.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
3. 3.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI copies data patterns (c) AI learns from data (d) AI knows everything
4. 4.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
5. 5.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
6. 6.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
7. 7.Which of these is a fact about AI? (a) AI can be wrong (b) AI always checks facts (c) AI knows everything (d) AI is never wrong
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
10. 10.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it learns from examples (d) it has a screen
11. 11.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) blurry, unclear photos (d) new data for testing
14. 14.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
15. 15.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) labelled fruit photos (d) 500 labelled leaf photos
16. 16.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
17. 17.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) generating (c) recognising (d) recommending
18. 18.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will turn yellow (d) it will shut down
19. 19.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
20. 20.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
21. 21.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) unlocking with a face (c) spotting a sick leaf (d) turning speech to text
22. 22.🔍 Which is the odd one out? (a) a torch (b) a stopwatch (c) a fan regulator (d) an app translating signs
23. 23.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
24. 24.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) actual information (d) artificial intelligence
25. 25.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) unlocking with a face (c) sorting photos by face (d) inventing a recipe
26. 26.🔍 Which is the odd one out? (a) a fan regulator (b) a printed timetable (c) a microwave timer (d) face unlock on a phone
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
28. 28.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recognising (c) generating (d) recommending
29. 29.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) uses magic (d) copies one website
30. 30.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
31. 31.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
32. 32.🔍 Which is the odd one out? (a) making up a story (b) spotting spam (c) unlocking with a face (d) suggesting a video
33. 33.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
34. 34.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) makes a best guess (d) does exactly as coded
35. 35.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
36. 36.True or false: “same steps every time” describes how AI works. (a) False (b) True
37. 37.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
39. 39.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) typing a new spoken word (d) past weather records
40. 40.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data

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