GenAI Advanced Session: Prompt Engineering for Educators

This advanced session focuses on Prompt Engineering, a crucial skill for educators using AI tools. We begin by defining Prompt Engineering and its significance in education, outlining the principles of effective prompts. We delve into advanced techniques, including prompt structuring (context, instruction, examples, output format), using control parameters (temperature, top_p,frequency and presence penalties), chaining prompts, and iterative refinement. The session explores educational applications, such as designing personalized materials, creating adaptive assessments, generating detailed student feedback, and developing educational simulations. A practical workshop allows participants to create a series of prompts for a complete teaching unit, followed by analysis and optimization. We emphasize fostering critical thinking and creativity in students through well-crafted prompts. The session concludes with information on tools, platforms, and communities for further practice and learning in Prompt Engineering. This advanced course aims to equip educators with sophisticated AI utilization skills, enabling them to create more engaging, personalized, and effective learning experiences. By mastering Prompt Engineering, educators can unlock the full potential of AI tools in their teaching practice.