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: “same steps every time” describes how AI works. (a) False (b) True
- 2.Which of these is bad for training a model? (a) testing on training data (b) checking labels twice (c) many varied examples (d) new data for testing
- 3.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
- 4.🔍 Which is the odd one out? (a) a printed timetable (b) a voice assistant (c) video suggestions (d) a spam filter
- 5.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
- 6.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) past weather records (d) 500 labelled leaf photos
- 7.True or false: “examples of every type” is bad for training a model. (a) True (b) False
- 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
- 9.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
- 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
- 11.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
- 12.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) add more of the same (d) use one group only
- 13.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
- 14.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
- 15.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
- 16.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
- 17.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
- 18.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
- 19.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
- 20.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
- 21.Which of these uses AI? (a) a calculator (b) an app translating signs (c) a kitchen weighing scale (d) a stopwatch
- 22.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
- 23.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) slower to switch on (d) forget everything
- 24.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
- 25.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) improves with more data (d) does exactly as coded
- 26.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
- 27.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) examples of every type (d) copies of one photo
- 28.💬 What do we call the request you type to a generative AI? (a) a password (b) a prompt (c) a label (d) a battery
- 29.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
- 30.Which of these is a myth about AI? (a) AI can make up facts (b) AI knows everything (c) AI copies data patterns (d) AI learns from data
- 31.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) never learns from data (d) handles unseen examples
- 32.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) spotting spam (c) suggesting a video (d) spotting a sick leaf
- 33.Which of these uses AI? (a) a light switch (b) a voice assistant (c) a stopwatch (d) a calculator
- 34.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
- 35.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
- 36.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
- 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
- 38.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 39.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
- 40.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
Answer key
- False
- testing on training data
- a simple rule is enough
- a printed timetable
- data, model, prediction
- the learned patterns
- False
- bias from data
- good for training
- past weather records
- recommending
- add varied examples
- good for training
- False
- True
- learn from data
- True
- False
- the learned patterns
- True
- an app translating signs
- False
- better at its task
- an image
- improves with more data
- False
- copies of one photo
- a prompt
- a normal program
- AI knows everything
- handles unseen examples
- creating a cartoon
- a voice assistant
- a real check
- AI
- a myth
- training data
- one-sided data
- makes something new
- AI
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students