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 does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
- 2.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) music or sound (c) an image
- 3.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
- 4.Which of these is a fact about AI? (a) AI always checks facts (b) AI can make up facts (c) long answers are true (d) AI is never wrong
- 5.🏷️ 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
- 6.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can mix up numbers (c) AI learns from data (d) AI knows everything
- 7.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
- 8.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) balance the data (d) fix wrong labels
- 9.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
- 10.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
- 11.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
- 12.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) text (c) music or sound
- 13.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
- 14.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) very few examples (d) labels added at random
- 15.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
- 16.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) new data for testing (d) examples of every type
- 17.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
- 18.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
- 19.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
- 20.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
- 21.🔍 Which is the odd one out? (a) a torch (b) a microwave timer (c) photos grouped by face (d) a light switch
- 22.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) flagging a new email (d) 500 labelled leaf photos
- 23.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) improves with more data (d) uses rules people wrote
- 24.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
- 25.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will be perfect (d) it will turn yellow
- 26.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
- 27.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) checking labels twice (d) testing on training data
- 28.True or false: “checking labels twice” is good for training a model. (a) False (b) True
- 29.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
- 30.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
- 31.Which of these is bad for training a model? (a) very few examples (b) many varied examples (c) checking labels twice (d) correct labels
- 32.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
- 33.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can make up facts (c) AI can mix up numbers (d) confident means correct
- 34.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 35.🔍 Which is the odd one out? (a) confident means correct (b) AI learns from data (c) AI can be wrong (d) AI can make up facts
- 36.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
- 37.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
- 38.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) same steps every time (d) spots patterns in data
- 39.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
- 40.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
Answer key
- a simple rule is enough
- text
- a fact
- AI can make up facts
- not spam
- AI knows everything
- True
- skip testing
- False
- True
- reduces bias
- an image
- a myth
- new data for testing
- False
- labels added at random
- sorts or predicts
- a real check
- recommending
- AI
- photos grouped by face
- flagging a new email
- improves with more data
- sorts or predicts
- it may get it wrong
- not a real check
- checking labels twice
- True
- True
- sorts or predicts
- very few examples
- no, it follows rules
- confident means correct
- AI
- confident means correct
- data, model, prediction
- predicting
- same steps every time
- 500 labelled leaf photos
- AI
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students