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.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
- 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
- 3.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) only one kind of example (d) checking labels twice
- 4.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
- 5.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) checking labels twice (d) only one kind of example
- 6.True or false: a car camera reading a speed sign is AI predicting something. (a) True (b) False
- 7.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
- 8.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
- 9.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) predicting rain (c) unlocking with a face (d) reading number plates
- 10.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
- 11.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) charging (d) cooking
- 12.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) improves with more data (d) never learns from data
- 13.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
- 14.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
- 15.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) makes new content (d) charges batteries
- 16.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the trained program (d) what training builds
- 17.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) copy it straight away (d) check it on paper
- 18.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
- 19.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
- 20.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) labels added at random (d) correct labels
- 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
- 22.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
- 23.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
- 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
- 25.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) balance the data (d) skip testing
- 26.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
- 27.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
- 28.True or false: “same steps every time” describes how AI works. (a) True (b) False
- 29.🔍 Which is the odd one out? (a) a map predicting traffic (b) a stopwatch (c) an image generator (d) video suggestions
- 30.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
- 31.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
- 32.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
- 33.🏷️ 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
- 34.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
- 35.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
- 36.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) flagging a new email
- 37.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
- 38.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
- 39.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will be perfect (d) it will shut down
- 40.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) does exactly as coded (d) makes a best guess
Answer key
- False
- the model
- only one kind of example
- not a real check
- only one kind of example
- False
- text
- a myth
- drawing a new picture
- True
- recommending
- improves with more data
- True
- a fact
- makes new content
- old emails marked spam
- check it on paper
- False
- labelled fruit photos
- correct labels
- one-sided data
- False
- True
- not spam
- skip testing
- True
- True
- False
- a stopwatch
- better at its task
- trust the textbook
- True
- not spam
- a simple rule is enough
- True
- 500 labelled leaf photos
- 500 labelled leaf photos
- many labelled photos
- it may get it wrong
- makes a best guess
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students