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Mapping Generative AI to Tailored Outcomes
Imagine planning a trip to a new city. A quick online search highlights the usual downtown tourist spots, but as you explore more, you uncover unique neighborhoods—a financial district bustling with experts, a hidden restaurant scene, and a college area alive with bookstores and cafés. Yet, none of these appeared in your initial search for “best places to visit.”
Choosing Tech
“How do I choose the right technology?” is a common question in education, and in online program development in particular, where it is usually asked in the context of building an online course or other virtual learning experience. After all, the subject matter expert and instructional designer are hoping to create an experience for students that is both meaningful and valuable. Knowing how to orchestrate content and pedagogy is already hard enough, but add in the fact that there are thousands of technology options, and the task can feel even more daunting.
From Mapping to Refining: Prompting Techniques for Generative AI
This piece builds on a previous piece where we explored the importance of keeping your desired outcome in mind when working with generative AI (genAI). We also highlighted the value of including specific data and contextual details in your prompt to align with your goals. If you haven’t read that piece, we recommend starting there: