AI Literacy Module

Lesson 3: Understanding AI

Before you start the lesson, make sure to read through the lesson overview and the lesson preparation. The Facilitator Guide can also help you prepare.

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Part 1: How is AI different from the human brain?

CLASS INTERACTION

Analogy Introduction (2 minutes):

Think about learning a language. If you're Yoruba and learning English, Kikuyu and learning Swahili, or Zulu and learning Afrikaans, you listen to how people speak, you make mistakes, you practice. AI learns similarly, but instead of listening to family and friends, it 'listens' to millions of examples from books, websites, and conversations.

Interactive Discussion:

• What can your brain do that you think a computer can't?

Expected Responses & Guidance:

• Feel emotions → Exactly! AI can recognize emotions in text, but doesn't actually feel them
• Understand jokes → Great point! AI struggles with humor, especially cultural jokes
• Be creative → Interesting! AI can combine ideas in new ways, but needs humans to guide creativity

Cultural Bridge (1 minute):

• When you switch between English and your local language - whether it's Yoruba in Nigeria, Swahili in Kenya, or Afrikaans in South Africa - depending on who you're talking to, that's something AI can't really do yet. You understand context and culture in ways that make you uniquely human."

TELL YOUR STUDENTS

A short history of Artificial Intelligence

Here’s a timeline of the development of Artificial Intelligence.

• 1950s: Some smart people began to wonder: Can we teach machines to think like humans? A man named Alan Turing came up with a famous question: "Can a machine think?" That’s when the dream of AI began!
• 1956–1970s: At a meeting in 1956, the word “Artificial Intelligence” was born. Scientists started building simple computer programs that could play games like chess or solve math problems.
• 1980s–1990s: People thought AI would grow fast, but teaching machines was much harder than they expected. They needed more data, faster computers, and better ideas.
• 2000s–2010s: When the internet grew, computers had access to tons of data. Faster computers helped AI learn again! Now AI could recognize faces, translate languages, and even beat world champions at games like Go!
• Today: Now AI is everywhere! It helps with Google search, YouTube suggestions, voice assistants, and even self-driving cars! But we also need to use it safely and kindly.

Part 2: What is Generative AI

TELL YOUR STUDENTS

Generative AI is like a very advanced autocomplete. You know how your phone suggests the next word when texting? GenAI does that but for entire stories, pictures, or songs.

Example Walkthrough:

If I tell Meta AI, 'Write a story about traffic in this city,' it looks at millions of stories it has read about cities, traffic, and our city, then combines patterns to create something new. It's not copying - it's like how you might tell a story using ideas from different movies you've watched.

Meta AI is an example of generative AI.

STUDENT ACTIVITY (2 minutes)

Turn to your partner and suggest a prompt you'd like to give AI. Make it about something in this country - your school, your neighborhood, our local food, anything!

Collect 3-4 suggestions and briefly discuss what AI might do with each.

CLASS INTERACTION

Smartphone Interface Exploration (1 minute):

Let's look at your phone like an AI expert. Every feature I mention, raise your hand if you've used it.

• Recommendation AI: YouTube suggests Burna Boy after you listen to Wizkid - that's AI noticing patterns in music preferences. Has anyone noticed this happening?
• Translation AI: Google Translate now works with Igbo, Swahili, Afrikaans, and a lot of other African languages. It learned these languages by studying millions of translations. Who has used this to help with homework or family conversations?
• Creative AI: Instagram and TikTok filters that put virtual jewelry on your face or change your background - that's AI understanding where your face is and what to change.
• Assistant AI: Siri, Google Assistant understanding African accents and expressions - this AI had to learn how Africans speak English differently from Americans or British people."
• Generative AI: Meta AI helping you create images, videos, text, answering research questions, etc

Transition to hands-on: Now that you understand how AI works, let's actually create something with it!

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