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 has real feelings” is a myth about AI. (a) False (b) True
- 2.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
- 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
- 4.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
- 5.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) True (b) False
- 6.🔍 Which is the odd one out? (a) AI has real feelings (b) confident means correct (c) AI answers need checking (d) AI is never wrong
- 7.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 8.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
- 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
- 10.True or false: “labelled fruit photos” is the model. (a) True (b) False
- 11.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) predicting (c) generating (d) recognising
- 12.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) recommending (c) recognising (d) predicting
- 13.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
- 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
- 15.🔍 Which is the odd one out? (a) a microwave timer (b) a light switch (c) a voice assistant (d) a torch
- 16.Which of these describes how a normal program works? (a) gives a likely answer (b) learns from examples (c) follows fixed rules (d) spots patterns in data
- 17.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
- 18.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) False (b) True
- 19.True or false: “only one kind of example” is good for training a model. (a) True (b) False
- 20.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
- 21.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
- 22.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
- 23.🔍 Which is the odd one out? (a) AI has real feelings (b) AI is never wrong (c) AI can make up facts (d) long answers are true
- 24.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
- 25.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) predicting rain (c) composing a new tune (d) unlocking with a face
- 26.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
- 27.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
- 28.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
- 29.🔍 Which is the odd one out? (a) checking labels twice (b) copies of one photo (c) labels added at random (d) testing on training data
- 30.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) generating (c) predicting (d) recommending
- 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
- 32.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) labels added at random (d) photos in many lights
- 33.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) writing a new poem (c) suggesting a video (d) predicting rain
- 34.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
- 35.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
- 36.Which of these is a fact about AI? (a) AI is never wrong (b) AI can make up facts (c) AI always checks facts (d) AI knows everything
- 37.Which of these is the model? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
- 38.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) past weather records (d) what training builds
- 39.True or false: “the trained program” is the model. (a) False (b) True
- 40.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) new data for testing (d) correct labels
Answer key
- True
- bad for training
- a prediction
- False
- True
- AI answers need checking
- AI
- True
- training data
- False
- recognising
- recommending
- needs AI (learning)
- not spam
- a voice assistant
- follows fixed rules
- False
- True
- False
- False
- few child voices in data
- a simple rule is enough
- AI can make up facts
- makes something new
- composing a new tune
- False
- True
- it learns patterns
- checking labels twice
- recommending
- a prediction
- labels added at random
- writing a new poem
- makes something new
- people
- AI can make up facts
- the trained program
- what training builds
- True
- only one kind of example
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students