I really like thinking of AI as a “thinking partner” rather than a shortcut. For me, it’s less about having AI do the work and more about having something to bounce ideas off of, especially when I’m planning lessons, creating scenarios, or trying to explain a concept in a new way.
It helps me brainstorm, organize my thoughts, and see options I might not have considered. But I’m still the one making the final calls while bringing in my experience, my judgment, and my understanding of my students. AI supports the process, but it doesn’t replace the human side of my teaching.
I learned that using AI for extended projects requires clear direction, strong organization, and ongoing evaluation. I plan to use AI to develop discussion posts while carefully reviewing the content to ensure it aligns with my teaching goals and professional standards.
i have enjoyed working with AI so far its very helpful in helping to answer the same questions with different replies that help students in getting a bit more information in different ways
I actually... enjoyed... using AI as a brainstorming partner. It was irritating - I'm so accustomed to being angry with AI. (I'm an English teacher, and some students insist on using it to do writing for them.) But it can actually be used productively and effectively.
I remain concerned about the ethical implications, about addiction, about lack of critical thinking, but it is a tool. So the question becomes, how do we help students reap the benefits without doing harm?
AI is just fascinating and I am enjoying the learning
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?
I learned the difference between task collaboration and project collaboration.
I learn how to properly use AI and to use it to engage students and generate practice questions or make a presentation fun and more interactive for the students.
I learned that working with AI in extended projects requires clear communication, organization, and regular evaluation. I plan to use AI to help create scenarios and communication exercises while reviewing the content to ensure it aligns with my teaching goals and professional standards.
Definently a great explanation that qualified expertise is irreplaceable. I've heard people worrying that AI will replace their job security.
