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.True or false: turning your spoken words into typed text is AI recommending something. (a) True (b) False
- 2.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recommending (c) recognising (d) predicting
- 3.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 4.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
- 5.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
- 6.True or false: “add more of the same” helps reduce bias. (a) True (b) False
- 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
- 8.💬 What do we call the request you type to a generative AI? (a) a password (b) a label (c) a prompt (d) a battery
- 9.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) True (b) False
- 10.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
- 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
- 12.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
- 13.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) look in your textbook (c) guess (d) pick a lucky number
- 14.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
- 15.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
- 16.Which of these is good for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) very few examples (d) copies of one photo
- 17.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
- 18.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
- 19.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
- 20.True or false: “photos in many lights” is good for training a model. (a) False (b) True
- 21.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
- 22.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) copy old unfair choices (d) check who is missing
- 23.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
- 24.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
- 25.True or false: a book app suggesting a story like your last one is AI recognising something. (a) True (b) False
- 26.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
- 27.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 28.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
- 29.True or false: “naming a new leaf” is the model. (a) True (b) False
- 30.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) sorting photos by face (c) predicting rain (d) turning speech to text
- 31.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) past weather records (d) flagging a new email
- 32.True or false: “ask different people” adds to bias. (a) False (b) True
- 33.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
- 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
- 35.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
- 36.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
- 37.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
- 38.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) False (b) True
- 39.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
- 40.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
Answer key
- False
- predicting
- uses AI
- a real check
- what training builds
- False
- the model
- a prompt
- True
- False
- training data
- a real check
- look in your textbook
- no, it follows rules
- the learned patterns
- clear, sharp examples
- True
- bad for training
- False
- True
- a normal program
- copy old unfair choices
- not a real check
- True
- False
- False
- makes something new
- no, it can be wrong
- False
- drawing a new picture
- flagging a new email
- False
- True
- adds to bias
- True
- many labelled photos
- AI
- False
- sorts or predicts
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students