AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 678 · 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.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) learns from examples (d) same steps every time
2. 2.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can mix up numbers (c) AI learns from data (d) AI is never wrong
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) inventing a recipe (c) drawing a new picture (d) suggesting a video
4. 4.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) AI learns from data (d) confident means correct
5. 5.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
6. 6.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
7. 7.Which of these uses AI? (a) a calculator (b) a torch (c) a digital watch (d) photos grouped by face
8. 8.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
9. 9.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
10. 10.Which of these uses AI? (a) a printed timetable (b) a digital watch (c) face unlock on a phone (d) a torch
11. 11.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
12. 12.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
13. 13.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) an image (c) music or sound
14. 14.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the right answer tag (d) the price
15. 15.True or false: “flagging a new email” is training data. (a) True (b) False
16. 16.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) recommending (c) generating (d) predicting
17. 17.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
18. 18.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) check it on paper (d) never do maths
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
20. 20.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
21. 21.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
23. 23.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
24. 24.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) one set rule per case (d) improves with more data
25. 25.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
26. 26.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is not AI? (a) an image generator (b) a light switch (c) a spam filter (d) a voice assistant
29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
30. 30.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
31. 31.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) many varied examples (d) copies of one photo
32. 32.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
33. 33.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a backup (d) a password
34. 34.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
36. 36.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
37. 37.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) wrong labels (d) examples of every type
38. 38.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
39. 39.Which of these is bad for training a model? (a) testing on training data (b) new data for testing (c) many varied examples (d) checking labels twice
40. 40.True or false: “learns from examples” describes how a normal program works. (a) True (b) False

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