​Lesson Plan to introduce high school students in Addis Ababa to generative AI

Prompt:
Please create a week long lesson plan to introduce high school students at St. John Baptist De Lasalle Catholic school in Addis Ababa to generative AI. Class sessions are 45 minutes. The teacher will have access to the Internet but students will have limited access to the Internet while in class and no video projection is available. Homework should be assigned in which students would be asked to use the internet. Please provide details of use of time in each class session.

ChatGPT's response:
Certainly! Here's a week-long lesson plan to introduce high school students to generative AI:
Day 1: Introduction to AI and Generative AI Session 1 (45 minutes)

• Introduction to AI: (10 minutes)
  • Define Artificial Intelligence (AI) and discuss its applications in various fields.
• Types of AI: (10 minutes)
  • Explain the difference between narrow AI and general AI.
• Introduction to Generative AI: (15 minutes)
  • Define generative AI and provide examples of its applications, such as image generation, text generation, and music composition.
• Discussion: (10 minutes)
  • Engage students in a discussion about the potential benefits and ethical considerations of generative AI.

Session 2 (Homework Assignment)

• Homework: (30 minutes)
  • Assign students to research and write a short essay (300-500 words) on a specific application of generative AI and its potential impact on society. Encourage them to use the internet for research and provide them with relevant resources.

Day 2: Understanding Neural Networks Session 1 (45 minutes)

• Review Homework: (10 minutes)
  • Allow students to share their findings from the homework assignment and facilitate a brief discussion.
• Introduction to Neural Networks: (15 minutes)
  • Explain the concept of neural networks and how they are used in generative AI.
• Structure of Neural Networks: (15 minutes)
  • Discuss the basic structure of neural networks, including layers, neurons, and activation functions.
• Hands-on Activity: (5 minutes)
  • Demonstrate a simple neural network using a whiteboard or paper, showing how input data is processed to generate an output.

Session 2 (Homework Assignment)

• Homework: (30 minutes)
  • Assign students to research and write a short summary (150-200 words) of a real-world application of neural networks. Encourage them to find examples beyond generative AI, such as image recognition or natural language processing.

Day 3: Introduction to GPT (Generative Pre-trained Transformer) Session 1 (45 minutes)

• Overview of GPT: (10 minutes)
  • Introduce GPT as a specific type of generative AI model and explain its architecture.
• History of GPT: (10 minutes)
  • Discuss the development and evolution of GPT models, starting from GPT-1 to the latest version.
• How GPT Works: (15 minutes)
  • Explain the mechanism of GPT, including the use of transformer architecture and pre-training on large datasets.
• Discussion: (10 minutes)
  • Facilitate a discussion about the potential applications and limitations of GPT.

Session 2 (Homework Assignment)

• Homework: (30 minutes)
  • Ask students to find and share examples of text generated by GPT models. They can explore websites, forums, or social media platforms to find interesting examples. Encourage them to analyze the quality and coherence of the generated text.

Day 4: Ethics and Bias in Generative AI Session 1 (45 minutes)

• Introduction to Ethics in AI: (10 minutes)
  • Discuss the importance of ethics in AI development and deployment.
• Ethical Considerations in Generative AI: (15 minutes)
  • Explore ethical issues related to generative AI, such as misinformation, bias, and privacy concerns.
• Case Studies: (15 minutes)
  • Present case studies or examples of ethical dilemmas involving generative AI, encouraging students to analyze the ethical implications.
• Discussion: (5 minutes)
  • Engage students in a discussion about how they would address ethical challenges in the development and use of generative AI.

Session 2 (Homework Assignment)

• Homework: (30 minutes)
  • Assign students to research and write a short reflection (200-300 words) on the ethical considerations raised in class. Encourage them to consider both the potential benefits and risks of generative AI from an ethical perspective.

Day 5: Future of Generative AI and Final Projects Session 1 (45 minutes)

• Future Trends in Generative AI: (15 minutes)
  • Discuss emerging trends and future directions in generative AI research and development.
• Applications Beyond Text Generation: (15 minutes)
  • Explore other potential applications of generative AI beyond text generation, such as image synthesis, video generation, and virtual reality.
• Brainstorming Session: (15 minutes)
  • Facilitate a brainstorming session where students can propose ideas for their final projects related to generative AI. Encourage creativity and innovation.

Session 2 (Final Project Planning)

• Final Project Planning: (45 minutes)
  • Allow students to work in small groups to plan their final projects. Provide guidance and support as needed, helping students refine their ideas and develop a project timeline.

Throughout the week, the teacher can provide additional resources, facilitate discussions, and offer support to students as they explore the fascinating world of generative AI.

Compare responses:
ChatGPT
Gemini
Claude

​
Back to ChatGPT page