Course Content
Lesson 1: Where is AI in My Life?
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Introduction
Purpose of the Lesson
Learning Outcomes
Key Concepts and Definitions
Theory: How AI Works Around You
Activity – Spot the AI Around You
Conclusion
Quiz
Extension Project – “AI Around My School”
Lesson 2: Can AI Think Like Me?
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Introduction
Purpose of the Lesson
Learning Outcomes
Key Concepts and Definitions
Theory: How Humans and AI Think Differently
Activity – Who Decides Better?
Conclusion
Quiz
Extension Project – “Human + AI Teamwork”
Lesson 3: How Does AI Learn?
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Introduction
Purpose
Learning Outcomes
Key Concepts and Definitions
Theory: How Machine Learning Works
Analogy – AI as a Student
Activity – Train a Teachable Machine
Observation Questions
Conclusion
Quiz
Extension Project – “Teach the Machine Better”
Lesson 4: Fair or Not? (AI Bias and Ethics)
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Introduction
Purpose
Learning Outcomes
Key Concepts and Definitions
Activity – Find the Bias
Why Ethics Matter
Activity – Find the Bias
Conclusion
Quiz
Extension Project – “Fairness Check”
Lesson 5: Build an AI Idea
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Introduction
Purpose
Learning Outcomes
Key Concepts and Definitions
Theory: How AI Can Help Society
Activity – Design an AI App for Good
Conclusion
Quiz
Extension Project – “AI for My Community”
Lesson 6: AI and My Future
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Introduction
Purpose
Learning Outcomes
Key Concepts and Definitions
Theory: How AI is Changing Careers
Activity – Explore AI Careers
Conclusion
Quiz
Extension Project – “My Dream AI Career”
C8: AI Basics – How Machines Learn and Help Us

By the end of this lesson, students will be able to:

  1. Define Machine Learning in simple terms.

  2. Explain why data is essential for AI to learn.

  3. Perform a hands-on activity to train and test a simple ML model.

  4. Identify the role of patterns and examples in improving AI performance.

  5. Reflect on the connection between good data and fair AI decisions.
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