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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
- 2.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
- 3.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
- 4.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
- 5.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
- 6.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
- 7.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
- 8.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
- 9.True or false: “wrong labels” is bad for training a model. (a) False (b) True
- 10.Which of these is not AI? (a) a voice assistant (b) a doorbell (c) a spam filter (d) an image generator
- 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
- 12.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) the learned patterns (d) the trained program
- 13.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
- 14.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) testing on training data (d) new data for testing
- 15.🎨 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
- 16.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI can make up facts (d) confident means correct
- 17.True or false: “flagging a new email” is training data. (a) True (b) False
- 18.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) uses rules people wrote (d) improves with more data
- 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
- 20.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
- 21.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) charging (d) printing
- 22.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
- 23.True or false: “new data for testing” is bad for training a model. (a) True (b) False
- 24.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
- 25.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
- 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
- 27.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
- 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
- 29.Which of these is bad for training a model? (a) testing on training data (b) photos in many lights (c) new data for testing (d) correct labels
- 30.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
- 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
- 32.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
- 33.True or false: “labels added at random” is bad for training a model. (a) True (b) False
- 34.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
- 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
- 36.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
- 37.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
- 38.Which of these describes how a normal program works? (a) improves with more data (b) never learns from data (c) makes a best guess (d) spots patterns in data
- 39.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
- 40.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
Answer key
- a prediction
- uses AI
- bad for training
- True
- False
- training data
- needs AI (learning)
- better at its task
- True
- a doorbell
- few child voices in data
- typing a new spoken word
- a simple rule is enough
- testing on training data
- music or sound
- confident means correct
- False
- uses rules people wrote
- adds to bias
- music or sound
- recommending
- makes new content
- False
- sorts or predicts
- people
- the model
- a normal program
- False
- testing on training data
- False
- a prediction
- it learns patterns
- True
- True
- adds to bias
- no, it can be wrong
- False
- never learns from data
- False
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students