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.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
- 2.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
- 3.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
- 4.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
- 5.Which of these is good for training a model? (a) testing on training data (b) blurry, unclear photos (c) clear, sharp examples (d) very few examples
- 6.True or false: “photos in many lights” is good for training a model. (a) True (b) False
- 7.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) only at night (d) yes, it can think
- 8.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
- 9.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
- 10.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
- 11.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
- 12.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
- 13.Which of these is good for training a model? (a) only one kind of example (b) examples of every type (c) wrong labels (d) copies of one photo
- 14.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a prompt (d) a battery
- 15.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
- 16.🔍 Which is the odd one out? (a) drawing a new picture (b) inventing a recipe (c) making up a story (d) sorting photos by face
- 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
- 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
- 19.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
- 20.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
- 21.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
- 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
- 23.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
- 24.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
- 25.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
- 26.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
- 27.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) sorting photos by face (d) drawing a new picture
- 28.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
- 29.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
- 30.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
- 31.🔍 Which is the odd one out? (a) AI can make up facts (b) AI is never wrong (c) AI can mix up numbers (d) AI learns from data
- 32.True or false: “write a poem about the monsoon” asks for music or sound. (a) True (b) False
- 33.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
- 34.True or false: “the learned patterns” is the model. (a) False (b) True
- 35.True or false: “a story about a brave ant” asks for an image. (a) False (b) True
- 36.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
- 37.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 38.Which of these adds to bias? (a) use one group only (b) test on many groups (c) ask different people (d) add varied examples
- 39.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
- 40.Which of these describes how AI works? (a) does exactly as coded (b) learns from examples (c) same steps every time (d) never learns from data
Answer key
- text
- look in your textbook
- needs AI (learning)
- False
- clear, sharp examples
- True
- no, it follows rules
- adds to bias
- no, it finds patterns
- reduces bias
- it may get it wrong
- no
- examples of every type
- a prompt
- True
- sorting photos by face
- training data
- balanced data
- not AI
- a simple rule is enough
- a simple rule is enough
- the model
- balanced data
- makes something new
- a fact
- typing a new spoken word
- drawing a new picture
- its training data
- False
- False
- AI is never wrong
- False
- old emails marked spam
- True
- False
- learn from data
- AI
- use one group only
- False
- learns from examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students