AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 117 · 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: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
3. 3.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
4. 4.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) check it on paper (d) copy it straight away
5. 5.True or false: “what training builds” is the model. (a) True (b) False
6. 6.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) flagging a new email (d) the trained program
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will be perfect (d) it will shut down
8. 8.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
9. 9.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
10. 10.True or false: “labelled fruit photos” is the model. (a) True (b) False
11. 11.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) new data for testing (d) wrong labels
13. 13.Which of these describes how AI works? (a) learns from examples (b) follows fixed rules (c) same steps every time (d) one set rule per case
14. 14.🔍 Which is the odd one out? (a) suggesting a video (b) sorting photos by face (c) unlocking with a face (d) inventing a recipe
15. 15.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
16. 16.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
17. 17.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
19. 19.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
20. 20.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
21. 21.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
22. 22.True or false: “naming a new fruit photo” is training data. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on many groups (d) ask different people
24. 24.True or false: “the learned patterns” is the model. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) blurry, unclear photos (d) photos in many lights
26. 26.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
27. 27.Which of these uses AI? (a) a stopwatch (b) a fan regulator (c) a torch (d) video suggestions
28. 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
29. 29.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
30. 30.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) long answers are true (d) AI learns from data
31. 31.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
33. 33.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
34. 34.🔍 Which is the odd one out? (a) turning speech to text (b) reading number plates (c) unlocking with a face (d) composing a new tune
35. 35.True or false: “ask different people” adds to bias. (a) True (b) False
36. 36.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) what training builds (d) labelled fruit photos
37. 37.True or false: a keyboard guessing your next word is AI generating something new. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) inventing a recipe (b) creating a cartoon (c) spotting spam (d) writing a new poem
39. 39.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model

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