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Train AI. Build in Scratch: Complete Machine Learning Unit
Train AI. Build in Scratch: Complete Machine Learning Unit
Train AI. Build in Scratch: Complete Machine Learning Unit
Train AI. Build in Scratch: Complete Machine Learning Unit
Train AI. Build in Scratch: Complete Machine Learning Unit
Train AI. Build in Scratch: Complete Machine Learning Unit
Train AI. Build in Scratch: Complete Machine Learning Unit
Train AI. Build in Scratch: Complete Machine Learning Unit
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Description

What if your students could train a real AI – then make it play a game they built themselves?

In this week-long, project-based unit, students don’t just watch videos about artificial intelligence. They build it. Using the free Machine Learning for Kids platform and Scratch, students train their own text or image classifier, then create an interactive Scratch app that responds to what the AI “sees” or “reads.”

No previous AI experience required. No paid tools. Just curiosity and a computer.

Why This Unit Works

  • Real AI, not simulations – Students collect real training data and watch their classifier improve.
  • Scratch integration – The ML for Kids Scratch extension connects trained models directly to block-based coding.
  • Differentiation built-in – Support for struggling learners and extensions for advanced students.
  • Cross-curricular – Science (data patterns), Technology (ML tools), Engineering (design process), Math (accuracy % & biasTeacher Gu

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Train AI. Build in Scratch: Complete Machine Learning Unit

STEM4Learning
3 Followers
$5.00

Highlights

Digital downloads
Grades icon
Grades
5th - 9th
Standards icon
Standards
Pages
17
Answer Key
Included
Teaching Duration
1 Week

Description

What if your students could train a real AI – then make it play a game they built themselves?

In this week-long, project-based unit, students don’t just watch videos about artificial intelligence. They build it. Using the free Machine Learning for Kids platform and Scratch, students train their own text or image classifier, then create an interactive Scratch app that responds to what the AI “sees” or “reads.”

No previous AI experience required. No paid tools. Just curiosity and a computer.

Why This Unit Works

  • Real AI, not simulations – Students collect real training data and watch their classifier improve.
  • Scratch integration – The ML for Kids Scratch extension connects trained models directly to block-based coding.
  • Differentiation built-in – Support for struggling learners and extensions for advanced students.
  • Cross-curricular – Science (data patterns), Technology (ML tools), Engineering (design process), Math (accuracy % & biasTeacher Gu

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Questions & Answers

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Standards

to see state-specific standards (only available in the US).
NGSSMS-ETS1-2
Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
NGSSMS-ETS1-4
Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.
NGSSMS-ETS1-1
Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.
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