Artificial Intelligence Basics word search, scramble and crossword puz
- Grades
- Pre-K–6, Elementary, Middle School
- Pages
- 6
- File type
- Answer key
- Included
- Subject
- Holiday & Seasonal, ELA, Reading, Language Development, Vocabulary
- Topic
- word search, word scramble
- Resource types
- Word Searches, Worksheets, Worksheets & Printables, Crosswords Puzzles
- Answer key
- Included
About this resource
What's inside this resource
Artificial Intelligence Basics word search, scramble and crossword puzzle
I made this artificial intelligence basics puzzle set for my 4th and 5th graders during our technology unit. The kids had heard of AI but had no idea what words like artificial intelligence, learn, or smart meant when we talked about how computers can think. So I put together a word search, a word scramble, and a crossword using words like artificial, intelligence, smart, learn, data, robot, computer, voice, image, recognize, and program. Nothing fancy — just puzzles to help the AI vocabulary finally stick in an age-appropriate way.
The PDF is four pages. Three puzzles plus one answer key page. The word search works well for quiet time after recess or indoor recess. The scramble gets them talking because they argue about whether a calculator is AI. The crossword I use for partners or as a review. I added a couple simple robot, screen, and brain drawings but nothing too busy.
Works for 4th through 5th grade. Print and go. Sometimes I have early finishers name one thing AI can do on the back. The kids actually ask for these now.
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In the classroom
Teaching tips & learning objectives
Learning objectives
- Match machine learning terms to their definitions
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What kind of AI vocabulary do the puzzles use?
The clues define technical machine learning terms such as neuron, layer, weight, bias, activation, gradient and overfitting, rather than everyday words like smart or robot, so the set fits students who have already been introduced to how machine learning models are trained.
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Resource details
Concepts & topics
Core concepts
Core concepts
- Machine learning
- Neural networks
- Model training
- Overfitting and underfitting
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