Mastering Prompt Engineering for Effective Teaching

This educational video is designed to help teachers and educators harness the power of AI tools like ChatGPT, Bing Chat with Copilot, and Claude to enhance their teaching practice. By mastering prompt engineering, educators can create tailored lesson plans, generate engaging educational content, and solve classroom challenges more effectively. The video is segmented into clear chapters, each focusing on specific techniques and frameworks that can be applied across different AI platforms. Reflective questions at the end of each chapter encourage viewers to think critically about how they can use these techniques in their own classrooms.

Video Structure:

1. Introduction
• Overview of the importance of prompt engineering in education.
• Introduction to the AI platforms, which covered ChatGPT, Bing Chat with Copilot, and Claude.
2. Chapter 1: Understanding Prompt Engineering in Education
• Basic explanation of what prompt engineering is and its relevance to teaching.
• Example of a well-crafted prompt vs. a poorly worded one.
• Reflective question for the audience.
3. Chapter 2: Key Techniques in Prompt Engineering
• Detailed discussion of techniques like clarity, specificity, contextualization, role assignment, iterative improvement, and the use of examples.
• How can these techniques be applied across ChatGPT, Bing Chat with Copilot, and Claude?
• Reflective question for the audience.
4. Chapter 3: Advanced Frameworks for Prompt Engineering
• Introduction to frameworks like CO-STAR, reverse prompting, and multi-step prompting.
• Examples of how these frameworks can be used on different AI platforms.
• Reflective question for the audience.
5. Chapter 4: Practical Applications in the Classroom
• Practical ways to apply prompt engineering in lesson planning, material production, and student engagement.
• How these applications work across different AI tools.
• Reflective question for the audience.
6. Chapter 5: Conclusion and Next Steps
• Recap of key points discussed in the video.
• Encouragement to experiment with prompt engineering techniques across different AI platforms.