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.🔍 Which is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) new data for testing (d) many varied examples
- 2.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
- 3.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
- 4.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
- 5.Which of these uses AI? (a) a stopwatch (b) a digital watch (c) a light switch (d) a map predicting traffic
- 6.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a summary (c) a backup (d) a password
- 7.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) improves with more data (d) one set rule per case
- 8.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
- 9.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
- 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
- 11.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) recorded spoken words (d) the trained program
- 12.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
- 13.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
- 14.True or false: a weather app guessing tomorrow’s rain is AI recommending something. (a) False (b) True
- 15.True or false: “labelled fruit photos” is the model. (a) True (b) False
- 16.True or false: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
- 17.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
- 18.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) very few examples (d) clear, sharp examples
- 19.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 20.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) True (b) False
- 21.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
- 22.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) turning speech to text (d) writing quiz questions
- 23.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) new data for testing (d) examples of every type
- 24.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) add varied examples (d) test on many groups
- 25.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
- 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
- 27.🎨 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
- 28.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recommending (c) predicting (d) recognising
- 29.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
- 30.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) only one kind of example (d) checking labels twice
- 31.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) the trained program (d) naming a new leaf
- 32.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
- 33.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
- 34.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) generating (c) recommending (d) predicting
- 35.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
- 36.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
- 37.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
- 38.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
- 39.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
- 40.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
Answer key
- copies of one photo
- True
- makes something new
- a myth
- a map predicting traffic
- a hallucination
- one set rule per case
- more varied data
- False
- past weather records
- typing a new spoken word
- True
- uses AI
- False
- False
- False
- data, model, prediction
- clear, sharp examples
- False
- True
- a real check
- writing quiz questions
- copies of one photo
- ignore complaints
- needs AI (learning)
- False
- an image
- generating
- False
- checking labels twice
- the trained program
- what training builds
- it learns patterns
- recommending
- makes something new
- not AI
- labelled fruit photos
- people
- needs AI (learning)
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students