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.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
- 2.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
- 3.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recommending (c) generating (d) recognising
- 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
- 5.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
- 6.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
- 7.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
- 8.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
- 9.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
- 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
- 11.Which of these is a fact about AI? (a) long answers are true (b) AI answers need checking (c) AI has real feelings (d) AI always checks facts
- 12.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) balance the data (d) test on many groups
- 13.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
- 14.True or false: “many varied examples” is good for training a model. (a) False (b) True
- 15.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) predicting (c) generating (d) recommending
- 16.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
- 17.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
- 18.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
- 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
- 20.True or false: “the learned patterns” is the model. (a) True (b) False
- 21.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it has a screen (d) it uses electricity
- 22.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) ignore complaints
- 23.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
- 24.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
- 25.🔍 Which is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI knows everything (d) AI can be wrong
- 26.🎨 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
- 27.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
- 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
- 29.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI always checks facts (d) AI answers need checking
- 30.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
- 31.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) music or sound (c) an image
- 32.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
- 33.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
- 34.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
- 35.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 36.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
- 37.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) the trained program (d) recorded spoken words
- 38.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
- 39.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI copies data patterns (c) AI answers need checking (d) long answers are true
- 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on many groups (d) test on one group only
Answer key
- not AI
- True
- recommending
- a prediction
- AI
- True
- True
- False
- False
- not spam
- AI answers need checking
- skip testing
- uses AI
- True
- predicting
- learn from data
- False
- the learned patterns
- not spam
- True
- it learns from examples
- ignore complaints
- True
- better at its task
- AI can be wrong
- text
- naming a new fruit photo
- training data
- AI answers need checking
- recommending
- text
- True
- a real check
- good for training
- good for training
- False
- flagging a new email
- recorded spoken words
- long answers are true
- test on many groups
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students