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: an app translating signs? (a) not AI (b) uses AI
- 2.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) labelled fruit photos (d) the learned patterns
- 3.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) new data for testing (d) blurry, unclear photos
- 4.True or false: “correct labels” is good for training a model. (a) False (b) True
- 5.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
- 6.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
- 7.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
- 8.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
- 9.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
- 10.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
- 11.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on one group only (d) copy old unfair choices
- 12.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
- 13.Which of these is a myth about AI? (a) AI knows everything (b) AI copies data patterns (c) AI can be wrong (d) AI answers need checking
- 14.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
- 15.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
- 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
- 17.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
- 18.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) yes, just like us (d) no, it finds patterns
- 19.Which of these describes how a normal program works? (a) same steps every time (b) learns from examples (c) handles unseen examples (d) improves with more data
- 20.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on many groups (d) copy old unfair choices
- 21.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 22.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) add varied examples
- 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
- 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
- 25.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
- 26.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
- 27.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
- 28.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
- 29.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
- 30.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
- 31.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
- 32.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
- 33.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) predicting (c) recommending (d) recognising
- 34.🔍 Which is the odd one out? (a) creating a cartoon (b) sorting photos by face (c) writing quiz questions (d) writing a new poem
- 35.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
- 36.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) cooking (d) charging
- 37.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) spots patterns in data (d) never learns from data
- 38.🔍 Which is the odd one out? (a) photos grouped by face (b) a microwave timer (c) a calculator (d) a fan regulator
- 39.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) generating (c) recognising (d) recommending
- 40.True or false: “add varied examples” adds to bias. (a) False (b) True
Answer key
- uses AI
- labelled fruit photos
- blurry, unclear photos
- True
- False
- balanced data
- not AI
- a simple rule is enough
- 500 labelled leaf photos
- good for training
- fix wrong labels
- a simple rule is enough
- AI knows everything
- sorts or predicts
- sorts or predicts
- training data
- bad for training
- no, it finds patterns
- same steps every time
- test on many groups
- AI
- add varied examples
- spam
- False
- better at its task
- a real check
- text
- False
- True
- it learns patterns
- a basic calculator
- a real check
- predicting
- sorting photos by face
- True
- recommending
- never learns from data
- photos grouped by face
- recognising
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students