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.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
- 2.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) ignore complaints (d) test on one group only
- 3.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
- 4.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
- 5.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
- 6.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) music or sound (c) text
- 7.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add more of the same (d) fix wrong labels
- 8.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
- 9.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
- 10.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
- 11.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
- 12.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
- 13.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) no, it follows rules (d) yes, it is smart
- 14.🔍 Which is the odd one out? (a) a microwave timer (b) a doorbell (c) a calculator (d) voice typing
- 15.🔍 Which is the odd one out? (a) a microwave timer (b) a digital watch (c) a torch (d) face unlock on a phone
- 16.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) recommending (c) generating (d) predicting
- 17.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) photos in many lights (d) many varied examples
- 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
- 19.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
- 20.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) follows fixed rules (d) gives a likely answer
- 21.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
- 22.Which of these describes how AI works? (a) uses rules people wrote (b) spots patterns in data (c) same steps every time (d) follows fixed rules
- 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
- 24.🔍 Which is the odd one out? (a) confident means correct (b) AI has real feelings (c) AI knows everything (d) AI can be wrong
- 25.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) 500 labelled leaf photos (d) the learned patterns
- 26.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
- 27.True or false: “naming a new leaf” is the model. (a) False (b) True
- 28.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) check who is missing (d) use one group only
- 29.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
- 30.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
- 31.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
- 32.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
- 33.Which of these is training data? (a) what training builds (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
- 34.🔍 Which is the odd one out? (a) face unlock on a phone (b) a spam filter (c) voice typing (d) a fan regulator
- 35.🔍 Which is the odd one out? (a) writing a new poem (b) spotting spam (c) inventing a recipe (d) creating a cartoon
- 36.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
- 37.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
- 38.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) testing on training data (d) very few examples
- 39.🔍 Which is the odd one out? (a) many varied examples (b) copies of one photo (c) labels added at random (d) testing on training data
- 40.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new leaf
Answer key
- not a real check
- fix wrong labels
- predicts likely words
- a real check
- AI
- music or sound
- add more of the same
- what training builds
- True
- sorts or predicts
- False
- a myth
- no, it follows rules
- voice typing
- face unlock on a phone
- recommending
- blurry, unclear photos
- a prediction
- 500 labelled leaf photos
- gives a likely answer
- True
- spots patterns in data
- a prediction
- AI can be wrong
- 500 labelled leaf photos
- it learns patterns
- False
- check who is missing
- learn from data
- True
- past weather records
- no
- labelled fruit photos
- a fan regulator
- spotting spam
- True
- uses AI
- examples of every type
- many varied examples
- naming a new leaf
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students