I learned that AI is not just for quick tasks like creating quizzes. It can also be a thinking partner for complex, long-term projects, such as redesigning a simulation or a final project. The CRAFT method (Context, Request, Audience, Format, and Tone) gave me a clear structure to communicate better with AI. I also understood that evaluating AI outputs is key: I need to check technical accuracy, appropriateness for my students, and the professional standards of my field. If I wouldn't put my name on the result, it's not ready.
This week I will choose a teaching challenge I've been putting off because it seems too complex (for example, redesigning a hands-on activity that connects theory with real-world situations). I will use the CRAFT method to give clear instructions to AI and work in phases: first brainstorming, then development, and finally review and adjustment. AI will give me drafts and perspectives; I will bring professional judgment, technical accuracy, and the values of my field. I will also evaluate each result by asking myself: Does this reflect how professionals actually work in my area?
