Learning Outcomes

Students will be able to:

KNOWLEDGE & UNDERSTANDING:

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• Define Artificial Intelligence and articulate basic concepts of how it learns[cite: 265].
• Identify key AI learning paradigms (e.g., reinforcement learning, supervised learning, LLMs).
• Understand that AI is a tool for innovation in sectors like sustainability.

SKILLS & ABILITIES:

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• Differentiate between human and AI-generated content[cite: 265].
• Work collaboratively to research and present ideas.
• Design a basic concept for an AI-powered solution.

ATTITUDES & VALUES:

• Develop critical thinking regarding AI capabilities and limitations.
• Understand the importance of safety, ethics, and responsibility when using AI.

European Dimension / Erasmus+ Connection

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• Bridging the Digital Gap: Addresses the need to improve AI knowledge for both students and teachers[cite: 265].
• Teacher Development: Serves as practical hands-on professional development for educators.
• Global Challenges: Connects learning to sustainability and ecological problems.

1. Resources and Tools

Research resources:

• Computers/laptops or tablets with internet access.
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• Access to YouTube for video examples (e.g., reinforcement learning videos)[cite: 265].
• Recommended websites (e.g., FAO, National Geographic).

Materials Needed:

• Projector and screen.
• Pre-prepared cards/digital matching game for AI types and problems.
• Whiteboard or flipchart and markers.
• Assessment Rubric (provided below).

2. Working Methods

• Inquiry Learning: Encouraging questions and independent research.
• Gamification: "Find the AI Impostor" and "AI Matching Game".
• Active Learning: Group work, design prototyping, and peer evaluation.
• Analysis & Discussion: Critical reflection on AI vs. Human responses.

Activity Overview

3. Introduction and Motivation

What is AI? (30 min)

In today's world, AI is vital. This workshop starts by exploring what AI is and how it "thinks."

Step 1: Video & Discussion. Watch a short introductory video about AI. [cite_start]Ask students: "Where have you encountered AI today?" and "Are there any concerns you have?"[cite: 267].

Step 2: Quick Quiz. Use a tool like Mentimeter or Kahoot to assess current knowledge.

4. Research and Learning

Activity 1: Beyond the Basics (AI Paradigms)

Introduce core AI concepts using simplified explanations:

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• Supervised Learning: Like teaching a child with examples (e.g., distinguishing cats from dogs, spam filters)[cite: 268].
• Large Language Models (LLMs): Chatbots and text generators (e.g., ChatGPT).
• Computer Vision: Machines that "see" (e.g., self-driving cars, medical scans).

Research Task: In pairs, research a specific industry (healthcare, environment, smart cities). Identify which AI paradigm is used and explain how.

Activity 2: Game "Find the AI Impostor"

Setup: Divide the class into "Detectives" and "Suspects." [cite_start]Some suspects are real students; others are "AI Impostors" (teachers secretly using a chatbot)[cite: 268].

Gameplay: Detectives ask questions (e.g., "What is the name of my cat?", "How do you feel today?"). Their goal is to spot the robot based on the style and content of the answers.

Debrief: Discuss the characteristics of AI-generated vs. human responses. This helps students learn to identify fake content.

5. Creative Application

Activity 1: AI Matching Game

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Teams use cards to match Real-World Problems to the appropriate AI Solution[cite: 269].

• Problem: Detecting cancer in medical images → Solution: Computer Vision.
• Problem: Customer service conversation → Solution: LLMs / Chatbots.

Activity 2: Design Your AI Solution

The Challenge: In small groups, choose a problem (e.g., sustainability/ecology) and design an AI solution.

The Pitch: Students don't need to code. They must describe/draw:

• The problem.
• The proposed solution.
• The "Learning Method" (e.g., "We will use Computer Vision to sort trash").
• Ethics: Potential benefits and risks (safety, privacy, fairness).

6. Reflection and Evaluation

Self-Assessment Rubric

Students assess their own learning using the following criteria:

Reflection Questions (Padlet):

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• What was the most surprising thing I learned about AI? [cite: 259]
• What would I like AI to do in the future?
• How can we use AI in a fair and safe way?

Online Resources and References

1. FAO – Food and Agriculture Organization: https://www.fao.org
2. National Geographic: https://www.nationalgeographic.com
3. Code.org AI for Oceans (Example Resource): https://code.org/oceans