AI for Kids Worksheet: Part 1 Test
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.
NameDateTime takenScore ___ / 40
- 1.Which of these is a myth about AI? (a) AI has real feelings (b) AI can be wrong (c) AI can make up facts (d) AI copies data patterns
- 2.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
- 3.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) singing (d) predicting
- 4.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
- 5.True or false: “labels added at random” is bad for training a model. (a) True (b) False
- 6.Which of these uses AI? (a) face unlock on a phone (b) a digital watch (c) a stopwatch (d) a fan regulator
- 7.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
- 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
- 9.🔍 Which is the odd one out? (a) an app translating signs (b) a map predicting traffic (c) a torch (d) voice typing
- 10.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) test on many groups (d) skip testing
- 11.True or false: “long answers are true” is a fact about AI. (a) False (b) True
- 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
- 13.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) add more of the same
- 14.Which of these is a myth about AI? (a) AI always checks facts (b) AI can make up facts (c) AI copies data patterns (d) AI learns from data
- 15.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on many groups (d) use one group only
- 16.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) predicting (c) generating (d) recognising
- 17.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
- 18.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
- 19.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
- 20.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
- 21.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
- 22.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
- 23.🗣️ 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
- 24.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) check who is missing (d) ask different people
- 25.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
- 26.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
- 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 28.🔍 Which is the odd one out? (a) unlocking with a face (b) sorting photos by face (c) suggesting a video (d) drafting a letter
- 29.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
- 30.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
- 31.Which of these describes how a normal program works? (a) learns from examples (b) same steps every time (c) improves with more data (d) makes a best guess
- 32.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) add varied examples (d) ask different people
- 33.Which of these adds to bias? (a) test on many groups (b) use one group only (c) check who is missing (d) balance the data
- 34.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) improves with more data (d) uses rules people wrote
- 35.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
- 36.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
- 37.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 38.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
- 39.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
- 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
Answer key
- AI has real feelings
- a real check
- predicting
- False
- True
- face unlock on a phone
- a prompt
- the model
- a torch
- skip testing
- False
- spam
- add more of the same
- AI always checks facts
- use one group only
- predicting
- text
- makes something new
- True
- a fact
- False
- look in your textbook
- few child voices in data
- ignore complaints
- a real check
- True
- one-sided data
- drafting a letter
- False
- False
- same steps every time
- test on one group only
- use one group only
- uses rules people wrote
- no, it finds patterns
- it learns patterns
- balanced data
- makes something new
- False
- a prediction
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students