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: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
- 2.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
- 3.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
- 4.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
- 5.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
- 6.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) sorting photos by face (c) making up a story (d) spotting a sick leaf
- 7.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
- 8.True or false: “flagging a new email” is training data. (a) True (b) False
- 9.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
- 10.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
- 11.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) many varied examples (d) very few examples
- 12.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
- 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
- 14.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
- 15.True or false: “test on many groups” adds to bias. (a) True (b) False
- 16.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
- 17.🔍 Which is the odd one out? (a) drawing a new picture (b) sorting photos by face (c) drafting a letter (d) making up a story
- 18.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) text (c) an image
- 19.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) recommending (c) generating (d) predicting
- 20.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
- 21.True or false: “a soft lullaby melody” asks for text. (a) False (b) True
- 22.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
- 23.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
- 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 25.True or false: “fix wrong labels” adds to bias. (a) True (b) False
- 26.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) naming a new fruit photo (d) old emails marked spam
- 27.🔍 Which is the odd one out? (a) AI knows everything (b) AI learns from data (c) confident means correct (d) AI is never wrong
- 28.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
- 29.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) ask different people (d) fix wrong labels
- 30.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
- 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
- 32.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
- 33.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) use one group only
- 34.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
- 35.Which of these is a fact about AI? (a) AI can make up facts (b) AI always checks facts (c) confident means correct (d) AI knows everything
- 36.Which of these is not AI? (a) an image generator (b) a kitchen weighing scale (c) face unlock on a phone (d) photos grouped by face
- 37.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
- 38.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
- 39.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
- 40.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
Answer key
- a simple rule is enough
- True
- True
- True
- False
- making up a story
- True
- False
- needs AI (learning)
- False
- many varied examples
- balanced data
- many labelled photos
- bad for training
- False
- True
- sorting photos by face
- music or sound
- generating
- AI
- False
- the trained program
- makes something new
- False
- False
- old emails marked spam
- AI learns from data
- makes something new
- copy old unfair choices
- False
- it may get it wrong
- its training data
- use one group only
- to see if it works
- AI can make up facts
- a kitchen weighing scale
- needs AI (learning)
- no
- text
- a real check
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students