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 describes how AI works? (a) uses rules people wrote (b) makes a best guess (c) same steps every time (d) never learns from data
- 2.True or false: “check who is missing” adds to bias. (a) True (b) False
- 3.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
- 4.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) balance the data (d) fix wrong labels
- 5.🔍 Which is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) checking labels twice (d) examples of every type
- 6.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
- 7.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) naming a new leaf
- 8.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
- 9.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add varied examples (d) ignore complaints
- 10.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
- 11.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
- 12.True or false: “a drawing of a cat on the Moon” asks for text. (a) True (b) False
- 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
- 14.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
- 15.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
- 16.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
- 17.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI has real feelings (c) AI always checks facts (d) AI is never wrong
- 18.True or false: “confident means correct” is a fact about AI. (a) True (b) False
- 19.📅 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
- 20.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
- 21.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
- 22.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
- 23.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
- 24.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it learns from examples (d) it is always right
- 25.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
- 26.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 27.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
- 28.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
- 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
- 30.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) False (b) True
- 31.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) no, it finds patterns (d) yes, just like us
- 32.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
- 33.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
- 34.Which of these is good for training a model? (a) very few examples (b) checking labels twice (c) labels added at random (d) wrong labels
- 35.True or false: “ask different people” adds to bias. (a) True (b) False
- 36.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) predicting (c) generating (d) recommending
- 37.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
- 38.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI can make up facts (d) AI always checks facts
- 39.Which of these is a myth about AI? (a) AI answers need checking (b) AI learns from data (c) AI can mix up numbers (d) long answers are true
- 40.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
Answer key
- makes a best guess
- False
- needs AI (learning)
- add more of the same
- copies of one photo
- balanced data
- old emails marked spam
- False
- add varied examples
- it may get it wrong
- makes something new
- False
- the learned patterns
- good for training
- a fact
- needs AI (learning)
- AI can mix up numbers
- False
- look in your textbook
- AI
- False
- False
- a simple rule is enough
- it learns from examples
- makes something new
- one-sided data
- False
- the right answer tag
- not spam
- False
- no, it finds patterns
- True
- music or sound
- checking labels twice
- False
- generating
- True
- AI can make up facts
- long answers are true
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students