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 is the odd one out? (a) copy old unfair choices (b) use one group only (c) ask different people (d) add more of the same
- 2.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
- 3.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) new data for testing (d) wrong labels
- 4.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
- 5.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
- 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
- 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
- 8.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
- 9.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
- 10.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a label (d) a password
- 11.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
- 12.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
- 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
- 14.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
- 15.Which of these is a fact about AI? (a) AI can make up facts (b) AI knows everything (c) AI is never wrong (d) long answers are true
- 16.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
- 17.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
- 18.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
- 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 20.True or false: “write a poem about the monsoon” asks for music or sound. (a) False (b) True
- 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
- 22.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
- 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
- 24.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) photos in many lights (d) only one kind of example
- 25.True or false: “many varied examples” is bad for training a model. (a) False (b) True
- 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
- 27.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
- 28.Which of these describes how AI works? (a) makes a best guess (b) never learns from data (c) follows fixed rules (d) uses rules people wrote
- 29.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 30.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
- 31.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) never do maths (c) ask it to hurry (d) copy it straight away
- 32.Which of these uses AI? (a) video suggestions (b) a digital watch (c) a light switch (d) a kitchen weighing scale
- 33.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
- 34.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) only one kind of example (d) examples of every type
- 35.Which of these is not AI? (a) a microwave timer (b) a map predicting traffic (c) a voice assistant (d) a spam filter
- 36.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
- 37.True or false: “examples of every type” is good for training a model. (a) True (b) False
- 38.🔍 Which is the odd one out? (a) reading number plates (b) unlocking with a face (c) inventing a recipe (d) turning speech to text
- 39.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
- 40.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
Answer key
- ask different people
- needs AI (learning)
- new data for testing
- False
- True
- adds to bias
- the model
- True
- no, it finds patterns
- a prompt
- a fact
- False
- a prediction
- needs AI (learning)
- AI can make up facts
- a fact
- makes new content
- a real check
- one-sided data
- False
- spam
- AI
- a prediction
- photos in many lights
- False
- True
- False
- makes a best guess
- AI
- no, it follows rules
- check it on paper
- video suggestions
- uses AI
- examples of every type
- a microwave timer
- predicts likely words
- True
- inventing a recipe
- not a real check
- good for training
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students